Yr Athro Yukun Lai

2026

• Zhang, L. et al., 2026. FaceEditor: Text-driven and mask-constrained face attribute editing. Pattern Recognition 179 (Part A) 113559. (10.1016/j.patcog.2026.113559)
• Dyke, R. M. et al., 2026. SHREC2026: Human perceived visual complexity of 3D shapes. Computers & Graphics 139 104717. (10.1016/j.cag.2026.104717)
• Sun, S. et al., 2026. DACAS: Distortion-Aware Capacity Allocation for Style-augmented domain generalization in computational pathology. Presented at: ICANN 2026 Padua, Italy 14-17 September 2026. Published in: Pasa, L. et al., Artificial Neural Networks and Machine Learning – ICANN 2026. [DACAS: Distortion-Aware Capacity Allocation for Style-Augmented Domain Generalization in Computational Pathology]. Lecture Notes in Computer Science Vol. 17092. Springer Nature. , pp.583-594. (10.1007/978-3-032-38407-2_46)
• Lakhani, T. et al., 2026. Methodologies for diffusion model interpretability: A systematic review. IEEE Transactions on Artificial Intelligence 7 (7), pp.3653-3670. (10.1109/TAI.2025.3648376)
• Shi, M. et al., 2026. MGN: Multi-layered garment animation generation neural network. Textile Research Journal 96 (13-14), pp.1374-1388. (10.1177/00405175251332563)
• He, X. et al., 2026. Consistent 4D appearance editing with Gaussian Splatting. IEEE Transactions on Visualization and Computer Graphics (10.1109/tvcg.2026.3717152)
• Huang, Y. et al., 2026. NDC: Neural Diffusion Curves for image vectorization. Visual Computer 42 (10) 425. (10.1007/s00371-026-04594-9)
• Zhang, L. et al., 2026. FLASHand: Feed-forward reLightable and animatable aingle-view hand reconstruction. Presented at: SIGGRAPH 2026 Los Angeles, CA, USA 19-23 July 2026. SIGGRAPH Conference Papers '26: Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers. [FLASHand: Feed-forward reLightable and Animatable Single-view Hand Reconstruction]. Vol. 43. ACM. (10.1145/3799902.3811039)
• Zhang, Y. et al., 2026. Rectangling stitched images via unsupervised warping. Visual Computer 42 (9) 388. (10.1007/s00371-026-04624-6)
• Zhang, J. et al., 2026. SMixNet: Style mixture network for exemplar-based image translation. Computational Visual Media 12 (3), pp.803-824. (10.26599/CVM.2025.9450458)
• Nikolov, T. Y. et al. 2026. Making machine learning accessible for developmental Science: The case of automated face detection. Developmental Science 29 (3) e70148. (10.1111/desc.70148)
• Huang, K. et al., 2026. Multi-task geometric estimation of depth and surface normal from monocular 360° images. Computational Visual Media (10.26599/CVM.2025.9450467)
• Feng, Q. et al., 2026. FOF-X: Towards real-time detailed human reconstruction from a single image. IEEE Transactions on Multimedia (10.1109/TMM.2026.3696142)
• Alsulami, A. et al. 2026. Acceleration of three-dimensional free-surface flow simulations using super-resolution convolutional neural network. Physics of Fluids 38 (4) 042106. (10.1063/5.0321435)
• Wei, M. et al. 2026. A physics-informed demonstration-guided learning framework for granular material manipulation. IEEE Transactions on Neural Networks and Learning Systems 37 (4), pp.1590-1604. (10.1109/tnnls.2025.3622482)
• Liu, X. et al., 2026. RESCUE: Crowd evacuation simulation via controlling SDM-united characters. Presented at: International Conference on Computer Vision (ICCV) Honolulu, Hawaii, USA 19-23 October 2025. 2025 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. , pp.24955-24964. (10.1109/iccv51701.2025.02314)
• Lyu, H. et al. 2026. LGA-Net: Learning local and global affinities for sparse scribble based image colorization. Presented at: International Conference on Computer Vision (ICCV) Honolulu, Hawai'i, USA 19-25 Oct 2025. 2025 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. , pp.8144-8153. (10.1109/iccv51701.2025.00763)
• Sun, Y. et al., 2026. RECDFS: Rotation Equivariant Convolution and Delayed Feature Statistics for arbitrary neural style transfer. Journal of King Saud University - Computer and Information Sciences 38 366. (10.1007/s44443-026-00795-3)
• Warren, F. et al. 2026. PDSC: a dynamic stopping criterion for active learning in medical image segmentation: a multi-dataset evaluation. Presented at: SPIE Medical Imaging, 2026 Vancouver, BC, Canada 15-19 February 2026. Published in: Gan, Y. and Mitra, J. eds. SPIE Proceedings. Vol. 13925.SPIE(10.1117/12.3085817)
• Li, Y. et al., 2026. Temporal inconsistency guidance for super-resolution video quality assessment. Presented at: The 40th Annual AAAI Conference on Artificial Intelligence Singapore 20-27 January 2026. Vol. 40 (8)., pp.6681-6689. (10.1609/aaai.v40i8.37599)
• Wang, Y. et al., 2026. InterCoser: Interactive 3D character creation with disentangled fine-grained features. Presented at: The 40th Annual AAAI Conference on Artificial Intelligence (AAAI) Singapore 20-27 January 2026. Vol. 14(12)., pp.10243-10251. (10.1609/aaai.v40i12.37993)
• Zhu, X. et al., 2026. Line art colorization with offset prior-based diffusion model. Presented at: The IEEE/CVF Winter Conference on Applications of Computer Vision Tucson, Arizona, USA 6-10 March 2026. 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE. , pp.5570-5580. (10.1109/WACV61042.2026.00540)
• Bali, A. P. S. et al., 2026. CymruFluency - A fusion technique and a 4D Welsh dataset for Welsh fluency analysis. Presented at: 22nd International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2025 Tokyo, Japan 28-30 July 2025. Published in: Blanc-Talon, J. et al., Advanced Concepts for Intelligent Vision Systems: 22nd International Conference, ACIVS 2025, Tokyo, Japan, July 28–30, 2025, Proceedings. Vol. 15656.Lecture Notes in Computer Science Cham, Switzerland: Springer Nature. , pp.96-108. (10.1007/978-3-032-07343-3_8)
• Hu, H. et al., 2026. Diagram2Structure: Unlocking LLMs’ diagram comprehension through DiagramDiff, a framework for structuring offline diagrams. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 Denver, CO, USA 3-7 June 2026. IEEE.
• Kang, H. et al., 2026. Crowd4D: Scene-aware monocular 4D crowd reconstruction. Presented at: ICML 2026 Seoul, South Korea 6-11 July 2026.
• Lian, H. et al., 2026. CG-Floor: Centroid-guided diffusion for large-scale floorplan generation. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 Denver, CO, USA 3-7 June 2026. IEEE.
• Liang, Y. , Chen, Z. and Lai, Y. K. 2026. Geometric decoupling: diagnosing the structural instability of latent. Presented at: 43rd International Conference on Machine Learning Seoul, South Korea 6-11 July 2026.
• Patino Minan, J. et al. 2026. Learning-based object center adjustment for 3D reconstruction using an eye-in-hand robotic manipulator. Presented at: Towards Autonomous Robotics Systems Manchester, UK 7–9 September 2026.
• Patino Minan, J. J. et al. 2026. One-shot view planning and online optimization-based replanning for unknown object reconstruction. Presented at: IEEE International Conference on Robotics and Automation (ICRA) 2026 Vienna, Austria 01-05 June 2026.
• Xu, Z. et al., 2026. IM-Animation: an implicit motion representation for identity-decoupled character animation. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Denver, CO, USA 3-7 June 2026. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. , pp.4635-4646.

2025

• Huo, J. et al., 2025. REST: A resolution preserving metwork for photorealistic style transfer via semantic distillation. Computer Vision and Image Understanding 262 104544. (10.1016/j.cviu.2025.104544)
• Tang, Y. et al., 2025. AttentionPainter: an efficient and adaptive stroke predictor for scene painting. IEEE Transactions on Visualization and Computer Graphics 31 (12), pp.10897-10911. (10.1109/TVCG.2025.3618184)
• Zhang, L. et al., 2025. SeG-Gaussian: segmentation-guided 3D Gaussian optimisation for novel view synthesis. IEEE Transactions on Visualization and Computer Graphics 31 (12), pp.10815-10827. (10.1109/tvcg.2025.3615421)
• Wang, Y. et al., 2025. DreamCoser: Controllable layered 3D character generation and editing. Presented at: SA Technical Communications '25 Hong Kong 15-18 December 2025. Proceedings of the SIGGRAPH Asia 2025 Technical Communications. New York, NY: ACM. (10.1145/3757376.3771404)
• Yang, J. et al., 2025. Single-Image 3D human reconstruction with 3D-aware diffusion priors and facial enhancement. Presented at: SIGGRAPH Asia 2025 Conference Hong Kong 15-18 December 2025. Published in: Komura, T. , Wimmer, and Fu, H. eds. Proceedings of the SIGGRAPH Asia 2025 Conference. New York, NY: ACM. (10.1145/3757377.3763839)
• Zhou, F. et al., 2025. CLIP-Hand: CLIP-based regressor for hand pose estimation and mesh recovery. Visual Computer 42 43. (10.1007/s00371-025-04203-1)
• Alhamazani, F. , Rosin, P. L. and Lai, Y. 2025. Canonical pose reconstruction from single depth image for 3D non-rigid pose recovery on limited datasets. Computers & Graphics 132 104370. (10.1016/j.cag.2025.104370)
• Xue, K. et al., 2025. BiBBDM: Bidirectional Image Translation with Brownian Bridge Diffusion Models. IEEE Transactions on Pattern Analysis and Machine Intelligence 47 (11), pp.10546-10559. (10.1109/tpami.2025.3597667)
• Yang, X. , Ji, Z. and Lai, Y. 2025. Differentiable physics-based system identification for robotic manipulation of elastoplastic materials. International Journal of Robotics Research 44 (13), pp.2126-2155. (10.1177/02783649251334661)
• Yuan, K. et al., 2025. A memory-based conditional neural process for video instance segmentation. Neurocomputing 655 131439. (10.1016/j.neucom.2025.131439)
• Wen, Q. et al. 2025. Skeleton-guided rolling-contact kinematics for arbitrary point clouds via locally controllable parameterized curve fitting. Presented at: IEEE/RSJ International Conference on Intelligent Robots and Systems Hangzhou, China 19–25 October 2025. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. , pp.13127-13132. (10.1109/IROS60139.2025.11246194)
• Yang, X. et al. 2025. DDBot: differentiable physics-based digging robot for unknown granular materials. IEEE Transactions on Robotics 42 , pp.152-169. (10.1109/TRO.2025.3636815)
• Jiang, K. et al., 2025. NeRFFaceShop: learning a photo-realistic 3D-aware generative model of animatable and relightable heads from large-scale in-the-wild videos. IEEE Transactions on Visualization and Computer Graphics 31 (10), pp.7938-7950. (10.1109/TVCG.2025.3560869)
• Jing, X. et al., 2025. FRNeRF: Fusion and regularization fields for dynamic view synthesis. Computational Visual Media 11 (5), pp.965-981. (10.26599/CVM.2025.9450405)
• Qiua, C. et al., 2025. Audio-driven emotion-aware 3D talking face generation from single image. Presented at: IEEE International Conference on Multimedia and Expo Nantes, France 30 June - 4 July 2025. 2025 IEEE International Conference on Multimedia and Expo (ICME). IEEE. , pp.1-6. (10.1109/ICME59968.2025.11209335)
• Deng, Y. , Lai, Y. and Rosin, P. 2025. CCDb+: Enhanced annotations and multi-modal benchmark for natural dyadic conversations. Presented at: MM '25: The 33rd ACM International Conference on Multimedia Dublin, Ireland 27-31 October 2025. MM '25: Proceedings of the 33rd ACM International Conference on Multimedia. , pp.5657-5666. (10.1145/3746027.3755333)
• Wei, M. et al. 2025. Celebi’s choice: causality-guided skill optimisation for granular manipulation via differentiable simulation. Presented at: IROS 2025 Hangzhou, China 19-25 October 2025. Proceedings of the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025). IEEE.
• Thompson, C. D. J. et al. 2025. Accessible automation: evaluating object segmentation solutions for parent-child interaction research. Presented at: International Conference on Development and Learning 2025 Prague, Czech Republic 16-19 September 2025. Proceedings of the IEEE International Conference on Development and Learning 2025. IEEE. (10.1109/ICDL63968.2025.11204391)
• Wei, M. et al., 2025. Celebi’s choice: causality-guided skill optimisation for granular manipulation via differentiable simulation. Presented at: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Hangzhou, China 19-25 October 2025. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. , pp.15845-15852. (10.1109/iros60139.2025.11247432)
• Wen, Q. et al. 2025. Skeleton-guided rolling-contact kinematics for arbitrary point clouds via locally controllable parameterized curve fitting. Presented at: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Hangzhou, China 19-25 October 2025. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. , pp.13127-13132. (10.1109/iros60139.2025.11246194)
• Chen, W. et al., 2025. Stacked deep fusion GAN for enhanced text-to-image generation. Visual Computer 41 , pp.8947-8960. (10.1007/s00371-025-03908-7)
• Huang, Z. et al., 2025. SketchGPT: A sketch-based multimodal interface for application-agnostic LLM interaction. Presented at: UIST '25: The 38th Annual ACM Symposium on User Interface Software and Technology Busan, Republic of Korea 28 September - 1 October, 2025. Published in: Bianchi, A. et al., UIST '25: Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology. New York, NY: Association for Computing Machinery. (10.1145/3746059.3747598)
• Wu, T. et al., 2025. DeferredGS: Decoupled and relightable Gaussian splatting with deferred shading. IEEE Transactions on Pattern Analysis and Machine Intelligence 47 (8), pp.6307-6319. (10.1109/tpami.2025.3560933)
• Zhou, F. et al., 2025. A survey of RGB-D-based semantic segmentation. In: Chen, C. H. ed. Pattern Recognition and Computer Vision in the New AI Era. World Scientific. , pp.41-67. (10.1142/9789819807154_0003)
• Wen, H. et al., 2025. DyCrowd: Towards dynamic crowd reconstruction from a large-scene video. IEEE Transactions on Pattern Analysis and Machine Intelligence (10.1109/tpami.2025.3600465)
• Alsudays, N. et al. 2025. Multi-class part parsing based on multi-class boundaries. Presented at: IEEE International Conference on Image Processing Anchorage, AK, USA 14-17 September 2025. 2025 IEEE International Conference on Image Processing (ICIP). IEEE. , pp.2498-2503. (10.1109/icip55913.2025.11084502)
• Huo, J. et al., 2025. Dictionary based generative adversarial network for multi-collection style transfer. IEEE Transactions on Multimedia (10.1109/TMM.2025.3599024)
• Wang, H. et al. 2025. TriAlign: revisiting deep functional map from map representation alignment perspectives. Visual Computer 41 (9), pp.6999–7012. (10.1007/s00371-025-04038-w)
• Warren, F. et al. 2025. A feature-driven acquisition strategy using scale-invariant descriptors for deep active learning in preclinical CT segmentation. Presented at: 29th Medical Image Understanding and Analysis Conference Leeds, UK 15-17 July 2025. Published in: Ali, S. , Hogg, D. C. and Peckham, M. eds. Proceedings of MIUA. Vol. 15918.Annual Conference on Medical Image Understanding and Analysis Springer. , pp.129-145. (10.1007/978-3-031-98694-9_10)
• Zhang, J. et al., 2025. PISE-V: person image and video synthesis with decoupled GAN. Visual Computer 41 , pp.5781-5798. (10.1007/s00371-024-03752-1)
• Wu, T. et al., 2025. VD-NeRF: Visibility-aware decoupled neural radiance fields for view-consistent editing and high-frequency relighting. IEEE Transactions on Pattern Analysis and Machine Intelligence 47 (5), pp.3344-3357. (10.1109/tpami.2025.3531417)
• Yuan, Y. et al., 2025. TPD-NeRF: Temporally Progressive Reconstruction of Dynamic Neural Radiance Fields from Monocular Video. Presented at: 13th International Conference, Computational Visual Media Hong Kong SAR, China 19–21 April 2025. Published in: Didyk, P. and Hou, J. eds. Computational Visual Media: 13th International Conference, CVM 2025 Proceedings, Part II. Vol. 15664.Lecture Notes in Computer Science Vol. 1. Singapore: , pp.90-112. (10.1007/978-981-96-5812-1_6)
• Zuo, R. et al., 2025. Sketch-guided scene-level image editing with diffusion models. Presented at: 13th International Conference, CVM 2025 Hong Kong SAR, China 19–21 April 2025. Published in: Didyk, P. and Hou, J. eds. Computational Visual Media: CVM 2025. Vol. 15664.Lecture Notes in Computer Science Singapore: Spinger. (10.1007/978-981-96-5812-1_14)
• Xu, M. et al. 2025. RGB-D video mirror detection. Presented at: WACV 2025 Tucson, Arizona 28 February - 04 March 2025. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE. , pp.9640-9649. (10.1109/WACV61041.2025.00933)
• Li, B. et al., 2025. Pose-aware 3D talking face synthesis using geometry-guided audio-vertices attention. IEEE Transactions on Visualization and Computer Graphics 31 (3), pp.1758-1771. (10.1109/TVCG.2024.3371064)
• Zhou, F. et al., 2025. Chat-driven 3D human pose and shape editing with Large Language Models. Presented at: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) Hyderabad, India 6-11 April 2025. Published in: Rao, B. D. et al., Proceedings of the International Conference on Acoustics, Speech and Signal Processing. IEEE. , pp.1-5. (10.1109/ICASSP49660.2025.10887921)
• Lyu, H. et al. 2025. SCD: Statistical color distribution-based objective image colorization quality assessment. Presented at: Computer Graphics International Geneva, Switzerland 1-5 July 2024. Advances in Computer Graphics. Vol. 15338.Lecture Notes in Computer Science Springer. , pp.54-67. (10.1007/978-3-031-81806-6_4)
• Wei, M. et al. 2025. Differentiable skill optimisation for powder manipulation in laboratory automation. Presented at: IEEE/RSJ International Conference on Intelligent Robots and Systems Hangzhou, China 19-25 October 2025.

2024

• Gao, L. et al., 2024. Real-time large-scale deformation of Gaussian splatting. ACM Transactions on Graphics 43 (6) 200. (10.1145/3687756)
• Wen, Q. et al. 2024. What criteria define an ideal skeletonisation reference in object point clouds?. Presented at: TAROS 2024: 25th Annual Conference London, UK 21-23 August 2024. Published in: Huda, M. N. , Wang, M. and Kalganova, T. eds. Towards Autonomous Robotic Systems. 25th Annual Conference, TAROS 2024, London, UK, August 21–23, 2024, Proceedings, Part I. Lecture Notes in Computer Science Springer. , pp.422-433. (10.1007/978-3-031-72059-8_35)
• Zhang, J. et al., 2024. DualAvatar: Robust Gaussian splatting avatar with dual representation. Presented at: SA '24: SIGGRAPH Asia 2024 Posters Tokyo, Japan 3-6 December 2024. Published in: Igarashi, T. and Hu, R. eds. SA '24: SIGGRAPH Asia 2024 Posters. New York, NY: Association for Computing Machinery. , pp.1-3. (10.1145/3681756.3697894)
• Zhao, H. et al., 2024. Cross-lingual font style transfer with full-domain convolutional attention. Pattern Recognition 155 110709. (10.1016/j.patcog.2024.110709)
• Wang, Y. et al., 2024. HumanCoser: Layered 3D human generation via semantic-aware diffusion model. Presented at: IEEE International Symposium on Mixed and Augmented Reality (ISMAR) Bellevue, WA, USA 21-25 October 2024. Proceedings of International Symposium on Mixed and Augmented Reality. IEEE. , pp.436-445. (10.1109/ISMAR62088.2024.00058)
• Yang, Y. et al., 2024. R2Human: Real-time 3D human appearance rendering from a single image. Presented at: IEEE International Symposium on Mixed and Augmented Reality (ISMAR) Bellevue, WA, USA 21-25 October 2024. Proceedings of International Symposium on Mixed and Augmented Reality. IEEE. , pp.1187-1196. (10.1109/ISMAR62088.2024.00135)
• Yang, Y. et al., 2024. Real-time 3D human reconstruction and rendering system from a single RGB camera. Presented at: SA '24: SIGGRAPH Asia 2024 Technical Communications Tokyo, Japan 3-6 December 2024. Published in: Igarashi, T. and Hu, R. eds. SA '24: SIGGRAPH Asia 2024 Technical Communications. New York: ACM(10.1145/3681758.3697993)
• Cai, J. , Mu, T. and Lai, Y. 2024. FilterGNN: Image feature matching with cascaded outlier filters and linear attention. Computational Visual Media 10 (5), pp.873-884. (10.1007/s41095-023-0363-3)
• Xuan, H. et al., 2024. MH-HMR: Human mesh recovery from monocular images via multi-hypothesis learning. CAAI Transactions on Intelligence Technology 9 (5), pp.1263-1274. (10.1049/cit2.12337)
• Yi, R. et al., 2024. AesStyler: Aesthetic guided universal style transfer. Presented at: ACM Multimedia 2024 Melbourne, Australia 28 October - 1 November 2024. MM '24: Proceedings of the 32nd ACM International Conference on Multimedia. ACM. , pp.9789-9798. (10.1145/3664647.3680784)
• Zhang, S. et al., 2024. SceneExpander: Real-time scene synthesis for interactive floor plan editing. Presented at: ACM Multimedia 2024 Melbourne, Australia 28 October - 1 November 2024. MM '24: Proceedings of the 32nd ACM International Conference on Multimedia. ACM. , pp.6232-6240. (10.1145/3664647.3680798)
• Xu, T. et al., 2024. Texture-GS: Disentangling the geometry and texture for 3D gaussian splatting editing. Presented at: European Conference on Computer Vision (ECCV) Milan, Italy 29 September - 04 October 2024. Computer Vision – ECCV 2024. Vol. 15083.Springer. , pp.37-53. (10.1007/978-3-031-72698-9_3)
• Li, B. et al., 2024. 3D colored object reconstruction from a single view image through diffusion. Expert Systems with Applications 252 (Part B) 124225. (10.1016/j.eswa.2024.124225)
• Huang, Y. et al., 2024. NeRF-Texture: Synthesizing Neural Radiance Field textures. IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (9), pp.5986-6000. (10.1109/TPAMI.2024.3382198)
• Njuod, A. et al. 2024. GRPSNET: Multi-class part parsing based on graph reasoning. Presented at: IEEE Conference on Multimedia Expo 2024 Niagara Falls, Canada 15-19 July 2024. IEEE International Conference on Multimedia and Expo (ICME). IEEE. , pp.1-10. (10.1109/ICME57554.2024.10687831)
• Wu, J. et al. 2024. Fusion of short-term and long-term attention for video mirror detection. Presented at: IEEE Conference on Multimedia Expo 2024 Niagara Falls, Canada 15-19 July 2024. 2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE. , pp.1-9. (10.1109/icme57554.2024.10688367)
• Zhai, Y. et al., 2024. Looking into gait for perceiving emotions via bilateral posture and movement graph convolutional networks. IEEE Transactions on Affective Computing 15 (3), pp.1634-1648. (10.1109/TAFFC.2024.3365694)
• Zhang, J. et al., 2024. Multi-scale information transport generative adversarial network for human pose transfer. Displays 84 102786. (10.1016/j.displa.2024.102786)
• Cai, Z. et al., 2024. Real-time 3D-aware portrait video relighting. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Seattle, WA, USA 17-21 June 2024. Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition. , pp.6221-6231. (10.1109/CVPR52733.2024.00595)
• Hu, T. et al., 2024. SuperSVG: Superpixel-based scalable vector graphics synthesis. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Seattle, WA, USA 17-21 June 2024. Proceedings of 2024 CVPR. IEEE. , pp.24892-24901. (10.1109/CVPR52733.2024.02351)
• Li, Y. et al., 2024. Learning discriminative motion models for multiple object tracking. IEEE Transactions on Multimedia 26 , pp.11372-11385. (10.1109/TMM.2024.3453057)
• Pan, C. et al., 2024. Generating animatable 3D cartoon faces from single portraits. Virtual Reality & Intelligent Hardware 6 (4), pp.292-307. (10.1016/j.vrih.2023.06.010)
• Zhang, Y. et al., 2024. RecStitchNet: Learning to stitch images with rectangular boundaries. Computational Visual Media 10 , pp.687-703. (10.1007/s41095-024-0420-6)
• Zuo, R. et al., 2024. SceneDiff: Generative scene-level image retrieval with text and sketch using diffusion models. Presented at: International Joint Conference on Artificial Intelligence Jeju, South Korea 3-9 August 2024. Published in: Larson, K. ed. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. , pp.1825-1833. (10.24963/ijcai.2024/202)
• Li, C. et al., 2024. Two-stage deep neural network for diagnosing fungal keratitis via in vivo confocal microscopy images. Scientific Reports 14 (1) 18432. (10.1038/s41598-024-68768-y)
• Liu, F. et al., 2024. SketchDream: Sketch-based text-to-3D generation and editing. ACM Transactions on Graphics 43 (4) 44. (10.1145/3658120)
• Liang, Y. et al. 2024. Efficient precision and recall metrics for assessing generative models using hubness-aware sampling. Presented at: The Forty-first International Conference on Machine Learning (ICML) Vienna, Austria 21-27 July 2024. Vol. 235., pp.29682-29699.
• Yang, H. et al., 2024. VRMM: A volumetric relightable morphable head model. Presented at: ACM SIGGRAPH 2024 Denver, USA 28 July - 01 August 2024. (10.1145/3641519.3657406)
• Mu, T. et al., 2024. Learning virtual view selection for 3D scene semantic segmentation. IEEE Transactions on Image Processing 33 , pp.4159 - 4172. (10.1109/TIP.2024.3421952)
• Goddard, P. et al. 2024. Seeing art differently: design considerations to improve visual art engagement for people with low vision. Presented at: ACM Designing Interactive Systems Conference Copenhagen, Denmark 1-5 July 2024. Published in: Vallgarda, A. et al., Proceedings of the 2024 ACM Designing Interactive Systems Conference. New York, US: ACM. , pp.2820-2832. (10.1145/3643834.3660675)
• Li, X. et al., 2024. High-quality animatable dynamic garment reconstruction from monocular videos. IEEE Transactions on Circuits and Systems for Video Technology 34 (6), pp.4243-4256. (10.1109/TCSVT.2023.3329972)
• Wen, Q. et al. 2024. Defining the ideal criteria for stable skeletonisation in object point clouds. Presented at: 40th Anniversary of the IEEE Conference on Robotics and Automation (ICRA@40) Rotterdam, Netherlands 23-26 September 2024.
• Wen, Q. et al. 2024. GLSkeleton: A geometric Laplacian-based skeletonisation framework for object point clouds. IEEE Robotics and Automation Letters 9 (5), pp.4615-4622. (10.1109/LRA.2024.3384128)
• Zhang, J. et al., 2024. Towards grouping in large scenes with occlusion-aware spatio-temporal transformers. IEEE Transactions on Circuits and Systems for Video Technology 34 (5), pp.3919-3929. (10.1109/TCSVT.2023.3324868)
• Huo, J. et al., 2024. Towards efficient image and video style transfer via distillation and learnable feature transformation. Computer Vision and Image Understanding 241 103947. (10.1016/j.cviu.2024.103947)
• Li, Y. et al., 2024. Learning key lines for multi-object tracking. Computer Vision and Image Understanding 241 103973. (10.1016/j.cviu.2024.103973)
• Sun, J. et al., 2024. Haisor: Human-aware indoor scene optimization via deep reinforcement learning. ACM Transactions on Graphics 43 (2) 15. (10.1145/3632947)
• Yang, X. et al. 2024. GAM: General Affordance-based Manipulation for contact-rich object disentangling tasks. Neurocomputing 578 127386. (10.1016/j.neucom.2024.127386)
• Sun, J. et al. 2024. RSMPNet: Relationship guided semantic map prediction. Presented at: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Hawaii, USA 4-8 January 2024. Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE. , pp.302-311. (10.1109/WACV57701.2024.00037)
• Wang, T. et al. 2024. Sparse convolutional networks for surface reconstruction from noisy point clouds. Presented at: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Hawaii, USA 4-8 January 2024. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE. , pp.3200-3209. (10.1109/WACV57701.2024.00318)
• Yi, R. et al., 2024. Generating artistic portrait drawings from images. In: Lyu, Z. ed. Applications of Generative AI. Springer. , pp.437-460. (10.1007/978-3-031-46238-2_22)
• Huang, Z. et al., 2024. SpeciFingers. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8 (1), pp.1-28. (10.1145/3643559)
• Zhao, H. et al., 2024. HairManip: High quality hair manipulation via hair element disentangling. Pattern Recognition 147 110132. (10.1016/j.patcog.2023.110132)
• Fu, R. et al., 2024. ROSA-Net: Rotation-Robust Structure-Aware Network for fine-grained 3D shape retrieval. Presented at: Computational Visual Media Conference 2024 Wellington, New Zealand 10-12 April 2024. Computational Visual Media. CVM 2024. Vol. 14592.Lecture Notes in Computer Science Singapore: Springer. , pp.295-319. (10.1007/978-981-97-2095-8_16)
• Hu, H. et al., 2024. SpaceGTN: A time-agnostic graph transformer network for handwritten diagram recognition and segmentation. Presented at: The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24) 20-27 February 2024. Vol. 38.Vol. 3. Association for the Advancement of Artificial Intelligence. , pp.2211-2219. (10.1609/aaai.v38i3.27994)
• Zhou, F. et al., 2024. AHRNet: Attention and heatmap-based regressor for hand pose estimation and mesh recovery. Presented at: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea 14-19 April 2024. Proceedings International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. (10.1109/ICASSP48485.2024.10446600)
• Zhu, H. et al., 2024. SAMVG: A multi-stage image vectorization model with the segment-anything model. Presented at: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea 14-19 April 2024. Proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE. , pp.4350-4354. (10.1109/ICASSP48485.2024.10447396)
• Huang, Z. et al., 2024. SpeechMirror: A multimodal visual analytics system for personalized reflection of online public speaking effectiveness. IEEE Transactions on Visualization and Computer Graphics 30 (1), pp.606-616. (10.1109/TVCG.2023.3326932)
• Gao, Y. et al., 2024. Object goal navigation based on path planning characteristics. CAAI Transactions on Intelligence Technology 19 , pp.217-227. (10.11992/tis.202309001)
• Herbert, P. et al. 2024. Benchmarking visual SLAM methods in mirror environments. Computational Visual Media 10 (2), pp.215-241. (10.1007/s41095-022-0329-x)
• Kou, S. et al., 2024. Neural panoramic representation for spatially and temporally consistent 360◦ video editing. Presented at: IEEE International Symposium on Mixed and Augmented Reality (ISMAR) Seattle, USA 21-25 October 2024. 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). , pp.200-209. (10.1109/ISMAR62088.2024.00034)
• Li, B. et al., 2024. Lightweight text-driven image editing with disentangled content and attributes. IEEE Transactions on Multimedia 26 , pp.1829-1841. (10.1109/TMM.2023.3289755)
• Sun, J. et al. 2024. A survey of object goal navigation. IEEE Transactions on Automation Science and Engineering 22 , pp.2292-2308. (10.1109/TASE.2024.3378010)

2023

• Du, X. et al., 2023. MMPosE: Movie-induced multi-label positive emotion classification through EEG signals. IEEE Transactions on Affective Computing 14 (4), pp.2925-2938. (10.1109/TAFFC.2022.3221554)
• Jing, X. et al., 2023. STATE: Learning structure and texture representations for novel view synthesis. Computational Visual Media 9 (4), pp.767-786. (10.1007/s41095-022-0301-9)
• Li, X. et al., 2023. Learning to infer inner-body under clothing from monocular video. IEEE Transactions on Visualization and Computer Graphics 29 (12), pp.5083-5096. (10.1109/TVCG.2022.3202240)
• Lyu, H. , Rosin, P. L. and Lai, Y. 2023. WCGAN: Robust portrait watercolorization with adaptive hierarchical localized constraints. Displays 80 102530. (10.1016/j.displa.2023.102530)
• Wu, T. et al., 2023. STAR-TM: STructure aware reconstruction of textured mesh from single image. IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (12), pp.15680-15693. (10.1109/TPAMI.2023.3305630)
• Yuan, Y. et al., 2023. Interactive NeRF geometry editing with shape priors. IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (12), pp.14821-14837. (10.1109/TPAMI.2023.3315068)
• Zhang, Z. et al., 2023. Stroke-based semantic segmentation for scene-level free-hand sketches. Visual Computer 39 , pp.6309-6321. (10.1007/s00371-022-02731-8)
• Alhamazani, F. , Lai, Y. and Rosin, P. L. 2023. 3DCascade-GAN: Shape completion from single-view depth images. Computers and Graphics 115 , pp.412-422. (10.1016/j.cag.2023.07.033)
• Alfarasani, D. A. , Lai, Y. and Rosin, P. L. 2023. Subjective study of 3D mesh quality scores in virtual reality. Presented at: ICVARS 2023: 2023 the 7th International Conference on Virtual and Augmented Reality Simulations Sydney, Australia 3-5 March 2023. ICVARS '23: Proceedings of the 2023 7th International Conference on Virtual and Augmented Reality Simulations. ACM. , pp.7-13. (10.1145/3603421.3603423)
• Li, R. et al., 2023. E3Sym: Leveraging E(3) invariance for unsupervised 3D planar reflective symmetry detection. Presented at: International Conference on Computer Vision (ICCV) Paris, France 2-6 October 2023. Proceedings of IEEE/CVF International Conference on Computer Vision. IEEE. , pp.14497-14507. (10.1109/ICCV51070.2023.01337)
• Yang, X. et al. 2023. Recent advances of deep robotic affordance learning: a reinforcement learning perspective. IEEE Transactions on Cognitive and Developmental Systems 15 (3), pp.1139-1149. (10.1109/TCDS.2023.3277288)
• Song, S. et al. 2023. Feature proliferation — the "cancer" in StyleGAN and its treatments. Presented at: International Conference on Computer Vision (ICCV) 2023 Paris, France October 1 - 6, 2023. Proceedings of IEEE/CVF International Conference on Computer Vision. IEEE. , pp.2360-2370. (10.1109/ICCV51070.2023.00224)
• Qiao, Y. et al., 2023. Learning-based intrinsic reflectional symmetry detection. IEEE Transactions on Visualization and Computer Graphics 29 (9), pp.3799-3808. (10.1109/TVCG.2022.3172361)
• Chen, L. et al., 2023. Deep deformation detail synthesis for thin shell models. Computer Graphics Forum 42 (5) e14903. (10.1111/cgf.14903)
• Gao, L. et al., 2023. SketchFaceNeRF: Sketch-based facial generation and editing in neural radiance fields. ACM Transactions on Graphics 42 (4) 159. (10.1145/3592100)
• Li, B. et al., 2023. BBDM: Image-to-image translation with Brownian bridge diffusion models. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vancouver, Canada 18-22 June 2023. Proceedings of Conference on Computer Vision and Pattern Recognition. Vol. 2023.IEEE. , pp.1952-1961. (10.1109/CVPR52729.2023.00194)
• Sun, X. et al., 2023. Learning semantic-aware disentangled representation for flexible 3D human body editing. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vancouver, Canada 18-22 June 2023. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. , pp.16985-16994. (10.1109/CVPR52729.2023.01629)
• Wen, H. et al., 2023. Crowd3D: Towards hundreds of people reconstruction from a single image. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vancouver, Canada 18-22 June 2023. Proceedings of the Conference on Computer Vision and Pattern Recognition. IEEE. , pp.8937-8946. (10.1109/CVPR52729.2023.00863)
• Xu, T. et al., 2023. CXTrack: Improving 3D point cloud tracking with contextual information. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vancouver, Canada 18-22 June 2023. Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. , pp.1084-1093. (10.1109/CVPR52729.2023.00111)
• Yi, R. et al., 2023. Towards artistic image aesthetics assessment: a large-scale dataset and a new method. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vancouver, Canada 18-22 June 2023. Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. , pp.22388-22397. (10.1109/CVPR52729.2023.02144)
• Huang, Y. et al., 2023. NeRF-Texture: Texture synthesis with neural radiance fields. Presented at: ACM SIGGRAPH Los Angeles, CA, USA 6-10 August 2023. ACM SIGGRAPH 2023 Conference Proceedings. Association for Computing Machinery. , pp.43-43. (10.1145/3588432.3591484)
• Tong, W. et al., 2023. DE-NeRF: DEcoupled Neural Radiance Fields for view-consistent appearance editing and high-frequency environmental relighting. Presented at: ACM SIGGRAPH Los Angeles, CA, USA 6-10 August 2023. Published in: Brunvand, E. , Sheffer, A. and Wimmer, M. eds. ACM SIGGRAPH 2023 Conference Proceedings. New York, NY, USA: Association for Computing Machinery. , pp.74-74. (10.1145/3588432.3591483)
• Gao, L. et al., 2023. SceneHGN: Hierarchical Graph Networks for 3D indoor scene generation with fine-grained geometry. IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), pp.8902-8919. (10.1109/TPAMI.2023.3237577)
• Yuan, Y. et al., 2023. Neural radiance fields from sparse RGB-D images for high-quality view synthesis. IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), pp.8713-8728. (10.1109/TPAMI.2022.3232502)
• Hu, X. et al., 2023. GLIM-Net: chronic glaucoma forecast transformer for irregularly sampled sequential fundus images. IEEE Transactions on Medical Imaging 42 (6), pp.1875-1884. (10.1109/TMI.2023.3243692)
• Shi, M. et al., 2023. Reference-based deep line art video colorization. IEEE Transactions on Visualization and Computer Graphics 29 (6), pp.2965-2979. (10.1109/TVCG.2022.3146000)
• Li, K. et al., 2023. MILI: Multi-person inference from a low-resolution image. Fundamental Research 3 (3), pp.434-441. (10.1016/j.fmre.2023.02.006)
• Yuan, K. et al., 2023. A multi-strategy contrastive learning framework for weakly supervised semantic segmentation. Pattern Recognition 137 109298. (10.1016/j.patcog.2022.109298)
• Yan, J. et al., 2023. Editorial: Artificial intelligence-based medical image automatic diagnosis and prognosis prediction. Frontiers in Physics 11 1210010. (10.3389/fphy.2023.1210010)
• Zuo, R. et al., 2023. Fine-Grained Video Retrieval With Scene Sketches. IEEE Transactions on Image Processing 32 , pp.3136-3149. (10.1109/TIP.2023.3278474)
• Li, B. et al., 2023. Controllable facial attribute editing via Gaussian mixture model disentanglement. Digital Signal Processing 134 103916. (10.1016/j.dsp.2023.103916)
• Ye, Z. et al., 2023. 3D-CariGAN: an end-to-end solution to 3D caricature generation from normal face photos. IEEE Transactions on Visualization and Computer Graphics 29 (4), pp.2203-2210. (10.1109/TVCG.2021.3126659)
• Yang, J. et al., 2023. DSG-Net: Learning disentangled structure and geometry for 3D shape generation. ACM Transactions on Graphics 42 (1) 1. (10.1145/3526212)
• Xia, M. et al., 2023. FEditNet: few-shot editing of latent semantics in GAN spaces. Presented at: 37th AAAI Conference on Artificial Intelligence Washington, DC, USA 7-14 Feb 2023. Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI Press. , pp.2919-2927. (10.1609/aaai.v37i3.25394)
• Alsudays, N. et al. 2023. Afpsnet: multi-class part parsing based on scaled attention and feature fusion. Presented at: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Waikoloa, Hawaii, 3-7 Jan 2023. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE. , pp.4022-4031. (10.1109/WACV56688.2023.00402)
• Sun, Y. et al., 2023. Robust pose transfer with dynamic details using neural video rendering. IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), pp.2660-2666. (10.1109/tpami.2022.3166989)
• Yang, J. et al., 2023. Multiscale mesh deformation component analysis with attention-based autoencoders. IEEE Transactions on Visualization and Computer Graphics 29 (2), pp.1301-1317. (10.1109/TVCG.2021.3112526)
• Li, Y. et al., 2023. Multi-object tracking with robust object regression and association. Computer Vision and Image Understanding 227 103586. (10.1016/j.cviu.2022.103586)
• Yi, R. et al., 2023. Quality metric guided portrait line drawing generation from unpaired training data. IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), pp.905-918. (10.1109/TPAMI.2022.3147570)
• Alhamazani, F. , Rosin, P. and Lai, Y. 2023. An Image-based model for 3D shape quality measure. Presented at: EG UK Computer Graphics & Visual Computing Aberystwyth, UK 14-15 September 2023. Proceedings EG UK Computer Graphics & Visual Computing. Eurographics - The European Association for Computer Graphics. (10.2312/cgvc.20231187)
• Chen, S. et al., 2023. 3D face reconstruction and gaze tracking in the HMD for virtual interaction. IEEE Transactions on Multimedia 25 , pp.3166-3179. (10.1109/TMM.2022.3156820)
• Jiang, C. et al., 2023. NeuralSlice: Neural 3D triangle mesh reconstruction via slicing 4D tetrahedral meshes. Presented at: International Conference on Machine Learning (ICML) Honolulu, Hawaii, USA 23-29 July 2023. Proceedings of the 40th International Conference on Machine Learning. Vol. 202., pp.15170-15185.
• Sun, J. et al., 2023. SOL-NeRF: Sunlight modeling for outdoor scene decomposition and relighting. Presented at: ACM SIGGRAPH Asia 2023 Sydney, Australia 12-15 December 2023. SA Conference Papers ’23. ACM. (10.1145/3610548.3618143)
• Wang, T. et al. 2023. RPS-Net: Indoor scene point cloud completion using RBF-point sparse convolution. Presented at: EG UK Computer Graphics & Visual Computing Aberystwyth, UK 14-15 September 2023. Proceedings EG UK Computer Graphics & Visual Computing. Eurographics - The European Association for Computer Graphics. (10.2312/cgvc.20231188)
• Xu, T. et al., 2023. MBPTrack: Improving 3D point cloud tracking with memory networks and box priors. Presented at: International Conference on Computer Vision (ICCV) Paris, France 1-6 October 2023. Proceedings of IEEE/CVF International Conference on Computer Vision. IEEE. , pp.9877-9886. (10.1109/ICCV51070.2023.00909)
• Yang, H. et al., 2023. Towards practical capture of high-fidelity relightable avatars. Presented at: ACM SIGGRAPH Asia 2023 Sydney, Australia 12-15 December 2023. SA Conference Papers ’23. ACM. (10.1145/3610548.3618138)
• Ye, Z. et al., 2023. Audio-driven talking face video generation with dynamic convolution kernels. IEEE Transactions on Multimedia 25 , pp.2033-2046. (10.1109/TMM.2022.3142387)

2022

• He, Y. et al., 2022. Context-consistent generation of indoor virtual environments based on geometry constraints. IEEE Transactions on Visualization and Computer Graphics 28 (12), pp.3986-3999. (10.1109/TVCG.2021.3111729)
• Liu, J. et al., 2022. Geometry-guided dense perspective network for speech-driven facial animation. IEEE Transactions on Visualization and Computer Graphics 28 (12), pp.4873-4886. (10.1109/TVCG.2021.3107669)
• Bo, Q. et al., 2022. All-higher-stages-in adaptive context aggregation for semantic edge detection. IEEE Transactions on Circuits and Systems for Video Technology 32 (10), pp.6778-6791. (10.1109/TCSVT.2022.3170048)
• Kong, M. et al., 2022. Playing lottery tickets in style transfer models. Presented at: MM '22: The 30th ACM International Conference on Multimedia 10-14 October 2022. M4MM '22: Proceedings of the 1st International Workshop on Methodologies for Multimedia. New York, NY, USA: ACM. , pp.15-23. (10.1145/3552487.3556440)
• Yang, X. et al. 2022. Abstract demonstrations and adaptive exploration for efficient and stable multi-step sparse reward reinforcement learning. Presented at: 27th IEEE International Conference on Automation and Computing (ICAC2022) Bristol, United Kingdom 1-3 September 2022. 2022 27th International Conference on Automation and Computing (ICAC). IEEE. (10.1109/ICAC55051.2022.9911100)
• Yi, R. et al., 2022. Lesion region segmentation via weakly supervised learning. Quantitative Biology 10 (3), pp.239-252. (10.15302/J-QB-021-0272)
• Shu, Y. et al., 2022. GAN-based multi-style photo cartoonization. IEEE Transactions on Visualization and Computer Graphics 28 (10), pp.3376-3390. (10.1109/TVCG.2021.3067201)
• Tan, Q. et al., 2022. Mesh-based variational autoencoders for localized deformation component analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), pp.6297-6310. (10.1109/TPAMI.2021.3085887)
• Chen, S. et al., 2022. A review of image and video colorization: From analogies to deep learning. Visual Informatics 6 (3), pp.51-68. (10.1016/j.visinf.2022.05.003)
• Du, X. et al., 2022. An efficient LSTM network for emotion recognition from multichannel EEG signals. IEEE Transactions on Affective Computing 13 (3), pp.1528-1540. (10.1109/TAFFC.2020.3013711)
• Rosin, P. L. et al. 2022. NPRportrait 1.0: A three-level benchmark for non-photorealistic rendering of portraits. Computational Visual Media 8 , pp.445-465. (10.1007/s41095-021-0255-3)
• Yang, X. et al. 2022. Hierarchical reinforcement learning with universal policies for multi-step robotic manipulation. IEEE Transactions on Neural Networks and Learning Systems 33 (9), pp.4727-4741. (10.1109/TNNLS.2021.3059912)
• Huang, Y. et al., 2022. StylizedNeRF: consistent 3D scene stylization as stylized NeRF via 2D-3D mutual learning. Presented at: 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022) New Orleans, LA, United States of America 19-24 June 2022. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. , pp.18321-18331. (10.1109/CVPR52688.2022.01780)
• Yuan, Y. et al., 2022. NeRF-editing: geometry editing of neural radiance fields. Presented at: 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022) New Orleans, LA, United States of America 18-24 June 2022. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. , pp.18332-18343. (10.1109/CVPR52688.2022.01781)
• Zhao, H. et al., 2022. High-fidelity human avatars from a single RGB camera. Presented at: 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022) New Orleans, LA, United States of America 18-24 June 2022. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. , pp.15883-15892. (10.1109/CVPR52688.2022.01544)
• Qiao, F. et al., 2022. FOF: Learning Fourier Occupancy Field for monocular real-time human reconstruction. Presented at: Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS) New Orleans, Louisana, USA 28 Nov- 11 Dec 2022.
• Sun, Y. et al., 2022. Human motion transfer with 3D constraints and detail enhancement. IEEE Transactions on Pattern Analysis and Machine Intelligence (10.1109/TPAMI.2022.3201904)
• Yi, R. et al., 2022. Animating portrait line drawings from a single face photo and a speech signal. Presented at: ACM SIGGRAPH Vancouver, Canada 7 - 11 August 2022. SIGGRAPH ’22 Conference Proceedings. ACM. , pp.1-8. (10.1145/3528233.3530720)
• Liu, F. et al., 2022. DeepFaceVideoEditing: Sketch-based deep editing of face videos. ACM Transactions on Graphics 41 (4), pp.167:1-167:16. (10.1145/3528223.3530056)
• Zhou, F. et al., 2022. Scale-aware network with modality-awareness for RGB-D indoor semantic segmentation. Neurocomputing 492 , pp.464-473. (10.1016/j.neucom.2022.04.025)
• Tang, Y. et al., 2022. 3D corrective nose reconstruction from a single image. Computational Visual Media 8 (2), pp.225-237. (10.1007/s41095-021-0237-5)
• Liu, F. et al., 2022. SketchMaker: Sketch extraction and reuse for interactive scene sketch composition. ACM Transactions on Interactive Intelligent Systems 12 (3), pp.1-26. (10.1145/3543956)
• Liu, F. et al., 2022. SceneSketcher-v2: Fine-grained scene-level sketch-based image retrieval using adaptive GCNs. IEEE Transactions on Image Processing 31 , pp.3737-3751. (10.1109/TIP.2022.3175403)
• Xu, T. et al., 2022. TransLoc3D: Point cloud based large-scale place recognition using adaptive receptive fields. Communications in Information and Systems 23 (1), pp.57-83. (10.4310/CIS.2023.v23.n1.a3)
• Qiao, Y. et al., 2022. Synthesizing mesh deformation sequences with bidirectional LSTM. IEEE Transactions on Visualization and Computer Graphics 28 (4), pp.1906-1916. (10.1109/TVCG.2020.3028961)
• George, D. et al., 2022. A deep learning driven active framework for segmentation of large 3D shape collections. Computer-Aided Design 144 103179. (10.1016/j.cad.2021.103179)
• Lin, M. et al., 2022. Single image 3D shape retrieval viaCross-Modal instance and category contrastive learning. Presented at: CVF/IEEE International Conference on Computer Vision (ICCV 2021) Montreal, QC, Canada 11-17 October 2021. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. , pp.11385-11395. (10.1109/ICCV48922.2021.01121)
• Wang, Z. et al., 2022. MLVSNet: Multi-level Voting Siamese Network for 3D visual tracking. Presented at: CVF/IEEE International Conference on Computer Vision (ICCV 2021) Montreal, QC, Canada 10-17 October 2021. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. , pp.3081-3090. (10.1109/ICCV48922.2021.00309)
• Qiao, Y. et al., 2022. Learning on 3D meshes with laplacian encoding and pooling. IEEE Transactions on Visualization and Computer Graphics 28 (2), pp.1317-1327. (10.1109/TVCG.2020.3014449)
• Maher, K. et al., 2022. E-ffective: a visual analytic system for exploring the emotion andeffectiveness of inspirational speeches. IEEE Transactions on Visualization and Computer Graphics 28 (1), pp.508-517. (10.1109/TVCG.2021.3114789)
• Alfarasani, D. A. et al. 2022. Learning to predict 3D Mesh saliency. Presented at: International Conference on Pattern Recognition Montreal, Canada 21-25 August 2022.
• Cui, H. et al., 2022. Monocular 3D face reconstruction with joint 2D and 3D constraints. Presented at: CAAI International Conference on Artificial Intelligence Beijing, China 27-28 August, 2022.
• Liang, Y. et al. 2022. Exploring and exploiting hubness priors for high-quality GAN latent sampling. Presented at: The 39th International Conference on Machine Learning (ICML 2022) Baltimore, Maryland USA 17-23 July 2022. Vol. 162.ML Research Press. , pp.13271-13284.

2021

• Geo, L. et al., 2021. TM-NET: Deep generative networks for textured meshes. ACM Transactions on Graphics 40 (6) 263. (10.1145/3478513.3480503)
• Huo, J. et al., 2021. Manifold alignment for semantically aligned style transfer. Presented at: CVF/IEEE International Conference on Computer Vision (ICCV 2021) Virtual / Montreal, QC, Canada 11-17 October 2021. Proceedings of the IEEE/CVF International Conference on Computer Vision. IEEE. , pp.14841-14849. (10.1109/ICCV48922.2021.01459)
• Xie, Q. et al., 2021. VENet: Voting Enhancement Network for 3D object detection. Presented at: CVF/IEEE International Conference on Computer Vision (ICCV 2021) Virtual / Montreal, QC, Canada 11-17 October 2021. Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision. IEEE. , pp.3692-3701. (10.1109/ICCV48922.2021.00369)
• Yang, X. et al. 2021. An open-source multi-goal reinforcement learning environment for robotic manipulation with Pybullet. Presented at: 21st Towards Autonomous Robotic Systems Conference (TAROS 2021) Virtual 8-10 September 2021. Published in: Fox, C. et al., Towards Autonomous Robotic Systems. TAROS 2021. Lecture Notes in Computer Science Springer. , pp.14-24. (10.1007/978-3-030-89177-0_2)
• Hou, H. et al., 2021. MW-GAN: Multi-warping GAN for caricature generation with multi-style geometric exaggeration. IEEE Transactions on Image Processing 30 , pp.8644-8657. (10.1109/TIP.2021.3118984)
• Yi, R. et al., 2021. Line drawings for face portraits from photos using global and local structure based GANs. IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (10), pp.3462-3475. (10.1109/TPAMI.2020.2987931)
• Yi, R. et al., 2021. Feature-aware uniform tessellations on video manifold for content-sensitive supervoxels. IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), pp.3183-3195. (10.1109/TPAMI.2020.2979714)
• Cai, J. et al., 2021. LinkNet: 2D-3D linked multi-modal network for online semantic segmentation of RGB-D videos. Computers and Graphics 98 , pp.37-47. (10.1016/j.cag.2021.04.013)
• Chen, S. et al., 2021. DeepFaceEditing: deep face generation and editing with disentangled geometry and appearance control. ACM Transactions on Graphics 40 (4) 90. (10.1145/3450626.3459760)
• Liu, Z. et al., 2021. Knitting 4D garments with elasticity controlled for body motion. ACM Transactions on Graphics 40 (4) 62. (10.1145/3450626.3459868)
• Wu, X. et al., 2021. BiSPL: Bidirectional Self-Paced Learning for recognition from web data. IEEE Transactions on Image Processing 30 , pp.6512 - 6527. (10.1109/TIP.2021.3094744)
• Zhang, Y. , Lai, Y. and Zhang, F. 2021. Content-preserving image stitching with piecewise rectangular boundary constraints. IEEE Transactions on Visualization and Computer Graphics 27 (7), pp.3198-3212. (10.1109/TVCG.2020.2965097)
• She, D. et al. 2021. Hierarchical layout-aware graph convolutional network for unified aesthetics assessment. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition Nashville, TN, USA 20-25 June 2021. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. , pp.8471-8480. (10.1109/CVPR46437.2021.00837)
• Xie, Q. et al., 2021. Vote-based 3D object detection with context modeling and SOB-3DNMS. International Journal of Computer Vision 129 , pp.1857-1874. (10.1007/s11263-021-01456-w)
• Yuan, Y. et al., 2021. A revisit of shape editing techniques: from the geometric to the neural viewpoint. Journal of Computer Science and Technology 36 (3), pp.520-554. (10.1007/s11390-021-1414-9)
• Zhang, J. et al., 2021. PISE: person image synthesis and editing with decoupled GAN. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition Virtual 19-25 June 2021. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. , pp.7978-7986. (10.1109/CVPR46437.2021.00789)
• Gao, L. et al., 2021. PRS-Net: planar reflective symmetry detection net for 3D models. IEEE Transactions on Visualization and Computer Graphics 27 (6), pp.3007-3018. (10.1109/TVCG.2020.3003823)
• Yang, L. et al., 2021. Learning 3D face reconstruction from a single sketch. Graphical Models 115 101102. (10.1016/j.gmod.2021.101102)
• Zhang, Y. et al., 2021. Efficient propagation of sparse edits on 360 panoramas. Computers and Graphics 96 , pp.61-70. (10.1016/j.cag.2021.03.005)
• Eslambolchilar, P. et al. 2021. Augmented reality glasses as a mobility aid for people with low vision: a feasibility study of experiences and requirements. Presented at: ACM CHI Conference on Human Factors in Computing Systems Yokohama, Japan 8-13 May 2021. CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM. , pp.729. (10.1145/3411764.3445327)
• Chen, L. et al., 2021. Solar radiation nowcasting through advanced CNN model integrated with ResNet structure. Presented at: Building Simulation 2021 Bruges, Belgium 1-3 September 2021. Proceedings 17th International Conference of the International Building Performance Simulation Association (Building Simulation 2021). International Building Performance Simulation Association. , pp.1959-1966. (10.26868/25222708.2021.30732)
• Zhang, S. et al., 2021. Active arrangement of small objects in 3D indoor scenes. IEEE Transactions on Visualization and Computer Graphics 27 (4), pp.2250-2264. (10.1109/TVCG.2019.2949295)
• Huang, J. et al., 2021. ClusterSLAM: A SLAM backend for simultaneous rigid body clustering and motion estimation. Computational Visual Media 7 , pp.87-101. (10.1007/s41095-020-0195-3)
• Gao, L. et al., 2021. Sparse data driven mesh deformation. IEEE Transactions on Visualization and Computer Graphics 27 (3), pp.2085-2100. (10.1109/TVCG.2019.2941200)
• Liu, Y. , Li, B. and Lai, Y. 2021. Sparse MDMO: learning a discriminative feature for micro-expression recognition. IEEE Transactions on Affective Computing 12 (1), pp.254-261. (10.1109/TAFFC.2018.2854166)
• Jiang, Z. et al., 2021. Deep edge map guided depth super resolution. Signal Processing: Image Communication 90 116040. (10.1016/j.image.2020.116040)
• Li, K. et al., 2021. Image-guided human reconstruction via multi-scale graph transformation networks. IEEE Transactions on Image Processing 30 , pp.5239-5251. (10.1109/TIP.2021.3080177)
• Yao, X. et al., 2021. APSE: Attention-aware polarity-sensitive embedding for emotion-based image retrieval. IEEE Transactions on Multimedia 23 , pp.4469-4482. (10.1109/TMM.2020.3042664)

2020

• Dyke, R. M. et al. 2020. SHREC'20: Shape correspondence with non-isometric deformations. Computers and Graphics 92 , pp.28-43. (10.1016/j.cag.2020.08.008)
• Liu, F. et al., 2020. SceneSketcher: fine-grained image retrieval with scene sketches. Presented at: 2020 European Conference on Computer Vision (ECCV) Glasgow, Scotland 23-28 August 2020. Published in: Vedaldi, A. et al., Vol. 12364.Springer. , pp.718-734. (10.1007/978-3-030-58529-7_42)
• Langenfeld, F. et al., 2020. SHREC2020 track: multi-domain protein shape retrieval challenge. Computers and Graphics 91 , pp.189-198. (10.1016/j.cag.2020.07.013)
• Xu, S. and Lai, Y. 2020. Simultaneous multi-attribute image-to-image translation using parallel latent transform networks. Computer Graphics Forum 39 (7), pp.531-542. (10.1111/cgf.14165)
• Li, K. et al., 2020. PoNA: Pose-guided non-local attention for human pose transfer. IEEE Transactions on Image Processing 29 , pp.9584-9599. (10.1109/TIP.2020.3029455)
• Cui, M. et al., 2020. 3D computational modeling and perceptual analysis of kinetic depth effects. Computational Visual Media 6 , pp.265-277. (10.1007/s41095-020-0180-x)
• Htike, H. M. et al. 2020. Ability of head-mounted display technology to improve mobility in people with low vision: a systematic review. Translational Vision Science & Technology 9 (10) 26. (10.1167/tvst.9.10.26)
• Xie, Q. et al., 2020. MLCVNet: multi-level context VoteNet for 3D object detection. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition Seattle, WA, USA 13-19 June 2020. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. , pp.10444-10453. (10.1109/CVPR42600.2020.01046)
• Yi, R. et al., 2020. Unpaired portrait drawing generation via asymmetric cycle mapping. Presented at: Conference on Computer Vision and Pattern Recognition (CVPR) Seattle, Washington, USA 16-18 June 2020. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. , pp.8214-8222. (10.1109/CVPR42600.2020.00824)
• Yang, S. et al., 2020. Noise-resilient reconstruction of panoramas and 3D scenes using robot-mounted unsynchronized commodity RGB-D cameras. ACM Transactions on Graphics 39 (5) 152. (10.1145/3389412)
• Zhao, H. et al., 2020. Automatic semantic style transfer using deep convolutional neural networks and soft masks. Visual Computer 36 , pp.1307-1324. (10.1007/s00371-019-01726-2)
• Yuan, Y. et al., 2020. Mesh variational autoencoders with edge contraction pooling. Presented at: CVPR Workshop on Learning 3D Generative Models Seattle, WA, USA 14 June 2020. Proceedings of the Conference on Computer Vision and Pattern Recognition Workshops. IEEE. , pp.1105-1112. (10.1109/CVPRW50498.2020.00145)
• Hu, S. , Cai, J. and Lai, Y. 2020. Semantic labeling and instance segmentation of 3D point clouds using patch context analysis and multiscale processing. IEEE Transactions on Visualization and Computer Graphics 26 (7), pp.2485-2498. (10.1109/TVCG.2018.2889944)
• Liu, Y. et al., 2020. Ranking-preserving cross-source learning for image retargeting quality assessment. IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (7), pp.1798-1805. (10.1109/TPAMI.2019.2923998)
• Xiao, Y. et al., 2020. A survey on deep geometry learning: from a representation perspective. Computational Visual Media 6 (2), pp.113-133. (10.1007/s41095-020-0174-8)
• Yang, J. et al., 2020. Spatio-temporal reconstruction for 3D motion recovery. IEEE Transactions on Circuits and Systems for Video Technology 30 (6), pp.1583 -1596. (10.1109/TCSVT.2019.2907324)
• Zhao, H. et al., 2020. Adaptive gradient-based block compressive sensing with sparsity for noisy images. Multimedia Tools and Applications 79 , pp.14825-14847. (10.1007/s11042-019-7647-8)
• Dyke, R. et al. 2020. SHREC-19: Shape correspondence with isometric and non-isometric deformations. Presented at: Eurographics Workshop on 3D Object Retrieval Genoa, Italy 5-6 May 2019. Published in: Biasotti, S. et al., Eurographics Association. , pp.111-119. (10.2312/3dor.20191069)
• Dongyu, S. et al., 2020. WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection. IEEE Transactions on Multimedia 22 (5), pp.1358-1371. (10.1109/TMM.2019.2939744)
• Zhang, J. et al., 2020. Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space. Graphical Models 109 101071. (10.1016/j.gmod.2020.101071)
• Bo, L. , Lai, Y. and Rosin, P. L. 2020. Sparse graph regularized mesh color edit propagation. IEEE Transactions on Image Processing 29 , pp.5408-5419. (10.1109/TIP.2020.2980962)
• Dyke, R. M. et al. 2020. SHREC'20: Non-rigid shape correspondence of physically-based deformations. Presented at: Eurographics Workshop on 3D Object Retrieval Graz, Austria 4-5 September 2020. SHREC Short Papers. The Eurographics Association. , pp.19-26. (10.2312/3dor.20201161)
• Yang, J. et al., 2020. Learning to reconstruct and understand indoor scenes from sparse views. IEEE Transactions on Image Processing 29 , pp.5753 -5766. (10.1109/TIP.2020.2986712)

2019

• Wang, T. et al., 2019. Robust and flexible puzzle solving with corner-based cycle consistent correspondences. Presented at: EG UK Computer Graphics & Visual Computing Bangor, UK 12-13 September 2019. Published in: Tam, G. K. L. and Roberts, J. C. eds. EG UK Computer Graphics & Visual Computing. Goslar, Germany: The Eurographics Association. , pp.115-124.
• Gao, L. et al., 2019. SDM-NET: deep generative network for structured deformable mesh. ACM Transactions on Graphics 38 (6) 243. (10.1145/3355089.3356488)
• Li, K. et al., 2019. Generating 3D faces using multi-column graph convolutional networks. Computer Graphics Forum 38 (7), pp.215-224.
• Meng, H. et al., 2019. VV-NET: Voxel VAE Net with group convolutions for point cloud segmentation. Presented at: IEEE International Conference on Computer Vision (ICCV) Seoul, Korea 27 October - 2 November 2019. Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. , pp.8499 - 8507. (10.1109/ICCV.2019.00859)
• Wu, X. et al., 2019. Joint acne image grading and counting via label distribution learning. Presented at: IEEE International Conference on Computer Vision (ICCV) Seoul, Korea 27 October - 2 November 2019. 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. , pp.10641-10650. (10.1109/ICCV.2019.01074)
• Yao, X. et al., 2019. Attention-aware polarity sensitive embedding for affective image retrieval. Presented at: IEEE International Conference on Computer Vision (ICCV) Seoul, Korea 27 October - 2 November 2019. 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. , pp.1140-1150. (10.1109/ICCV.2019.00123)
• Yang, J. et al., 2019. Global 3D non-rigid registration of deformable objects using a single RGB-D camera. IEEE Transactions on Image Processing 28 (10), pp.4746 -4761. (10.1109/TIP.2019.2909197)
• Li, B. et al., 2019. Automatic example-based image colorization using location-aware cross-scale matching. IEEE Transactions on Image Processing 28 (9), pp.4606-4619. (10.1109/TIP.2019.2912291)
• Cheng, M. et al., 2019. Structure-preserving neural style transfer. IEEE Transactions on Image Processing 29 , pp.909-920.
• Yang, S. et al., 2019. Probabilistic projective association and semantic guided relocalization for dense reconstruction. Presented at: IEEE International Conference on Robotics and Automation (ICRA) Montreal, Canada 20-24 May 2019. 2019 International Conference on Robotics and Automation (ICRA). IEEE. , pp.7130-7136. (10.1109/icra.2019.8794299)
• Wu, Z. et al., 2019. Global as-conformal-as-possible non-rigid registration of multi-view scans. Presented at: IEEE International Conference on Multimedia and Expo Shanghai, China 8-12 July 2019. 2019 IEEE International Conference on Multimedia and Expo (ICME). IEEE. , pp.308-313. (10.1109/icme.2019.00061)
• Yang, S. et al., 2019. HeteroFusion: Dense scene reconstruction integrating multi-sensors. IEEE Transactions on Visualization and Computer Graphics 28 (3), pp.181-197. (10.1109/TVCG.2019.2919619)
• Yuan, C. et al., 2019. 3D face representation and reconstruction with multi-scale graph convolutional autoencoders. Presented at: IIEEE International Conference on Multimedia and Expo (ICME) 2019 Shanghai, China 8-12 July 2019. 2019 IEEE International Conference on Multimedia and Expo (ICME). IEEE. , pp.1558-1563. (10.1109/ICME.2019.00269)
• Cai, J. et al., 2019. Deep point-based scene labeling with depth mapping and geometric patch feature encoding. Graphical Models 104 101033. (10.1016/j.gmod.2019.101033)
• Yuan, Y. et al., 2019. Data-driven weight optimization for real-time mesh deformation. Graphical Models 104 101037. (10.1016/j.gmod.2019.101037)
• Wu, X. et al., 2019. IP102: A large-scale benchmark dataset for insect pest recognition. Presented at: CVPR 2019 Long Beach, CA, USA 16-20 June 2019. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. , pp.8787-8796. (10.1109/CVPR.2019.00899)
• Yi, R. et al., 2019. APDrawingGAN: Generating artistic portrait drawings from face photos with hierarchical GANs. Presented at: CVPR 2019 Long Beach, California, USA 16-20 June 2019. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. , pp.10735-10744. (https://doi.org/10.1109/CVPR.2019.01100)
• Krumhuber, E. G. et al. 2019. When facial expressions do and do not signal minds: the role of face inversion, expression dynamism, and emotion type. Emotion 19 (4), pp.746-750. (10.1037/emo0000475)
• Zhang, S. et al., 2019. Stylistic scene enhancement GAN: Mixed stylistic enhancement generation for 3D indoor scenes. Visual Computer 35 (6), pp.1157-1169. (10.1007/s00371-019-01691-w)
• Zhang, Y. , Lai, Y. and Zhang, F. 2019. Stereoscopic image stitching with rectangular boundaries. Visual Computer 35 (6-8), pp.823-835. (10.1007/s00371-019-01694-7)
• Zhao, H. , Rosin, P. and Lai, Y. 2019. Block compressive sensing for solder joint images with wavelet packet thresholding. IEEE Transactions on Components and Packaging Technologies 9 (6), pp.1190-1199. (10.1109/TCPMT.2019.2907106)
• Dyke, R. et al. 2019. Non-rigid registration under anisotropic deformations. Computer Aided Geometric Design 71 , pp.142-156. (10.1016/j.cagd.2019.04.014)
• Wang, T. et al., 2019. Consistent segment-wise matching with multi-layer graphs. Computer Aided Geometric Design 70 , pp.31-45. (10.1016/j.cagd.2019.04.003)
• Liu, Y. et al., 2019. A new learning approach to malware classification using discriminative feature extraction. IEEE Access 7 , pp.13015-13023. (10.1109/ACCESS.2019.2892500)
• Huang, J. et al., 2019. ClusterSLAM: A SLAM backend for simultaneous rigid body clustering and motion estimation. Presented at: IEEE International Conference on Computer Vision (ICCV) Seoul, Korea 27 October - 2 November 2019. 2019 IEEE/CVF International Conference on Computer Vision (ICCV) Proceedings. IEEE. , pp.5874-5883. (10.1109/ICCV.2019.00597)
• Liu, F. et al., 2019. SketchGAN: Joint sketch completion and recognition with generative adversarial network. Presented at: CVPR Long Beach, California, USA 16-20 June 2019.

2018

• Gao, L. et al., 2018. Automatic unpaired shape deformation transfer. ACM Transactions on Graphics 37 (6) 237. (10.1145/3272127.3275028)
• Jufeng, Y. et al., 2018. Weakly supervised coupled networks for visual sentiment analysis. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Lake Salt City, UT, USA 18-22 Jun 2018. Computer Society Conference on Computer Vision and Pattern Recognition workshops. IEEE. (10.1109/CVPR.2018.00791)
• Chen, Y. , Lai, Y. and Liu, Y. 2018. CartoonGAN: generative adversarial networks for photo cartoonization. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Lake Salt City, USA 18-22 Jun 2018. Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Salt Lake City: IEEE. , pp.9465-9474. (10.1109/CVPR.2018.00986)
• Wu, Q. et al., 2018. Alive caricature from 2D to 3D. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Lake Salt City, USA 18-22 Jun 2018. Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Salt Lake City: IEEE. , pp.7336-7345. (10.1109/CVPR.2018.00766)
• Yi, R. , Liu, Y. and Lai, Y. 2018. Content-sensitive Supervoxels via uniform tessellations on video manifolds. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) Salt Lake City, UT, USA 18-22 June 2018. Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Vol. 1.Salt Lake City: IEEE. , pp.646-655. (10.1109/CVPR.2018.00074)
• Lai, Y. et al. 2018. An image-based approach for detecting faces carved in heritage monuments. Presented at: EUROGRAPHICS Workshop on Graphics and Cultural Heritage Vienna, Austria 12-15 Nov 2018. Eurographics Workshop on Graphics and Cultural Heritage. The Eurographics Association. , pp.215-219.
• Han, Y. et al., 2018. CFD: a collaborative feature difference method for spontaneous micro-expression spotting. Presented at: IEEE International Conference on Image Processing Athens, Greece 7-10 October 2018. 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE. , pp.1942-1946. (10.1109/ICIP.2018.8451065)
• Yi, R. , Yong-Jin, L. and Lai, Y. 2018. Evaluation on the compactness of supervoxels. Presented at: IEEE International Conference on Image Processing Athens, Greece 7-10 October 2018. 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE. (10.1109/ICIP.2018.8451659)
• Chen, S. et al., 2018. Real-time 3D face reconstruction and gaze tracking for virtual reality. Presented at: IEEE Conference on Virtual Reality and 3D User Interfaces Reutlingen, Germany 18-22 March 2018. Proceedings of the 25th Conference on Virtual Reality and 3D User Interfaces. IEEE. , pp.525-526. (10.1109/VR.2018.8446494)
• Rosin, P. et al. 2018. Virtual recovery of content from x-ray micro-tomography scans of damaged historic scrolls. Scientific Reports 8 11901. (10.1038/s41598-018-29037-x)
• Yang, J. et al., 2018. Recognition from web data: A progressive filtering approach. IEEE Transactions on Image Processing 27 (11), pp.5303-5315. (10.1109/TIP.2018.2855449)
• Qiao, Y. et al., 2018. SF-Net: Learning scene flow from RGB-D images with CNNs. Presented at: 29th British Machine Vision Conference (BMVC) Newcastle, UK 3-6 September 2018.
• Liang, Y. et al., 2018. Knowledge graph construction with structure and parameter learning for indoor scene design. Computational Visual Media 4 (2), pp.123-137. (10.1007/s41095-018-0110-3)
• Wan, L. et al., 2018. Scribble-based gradient mesh recoloring. Multimedia Tools and Applications 77 (11), pp.13753-13771. (10.1007/s11042-017-4987-0)
• Yang, J. et al. 2018. Biharmonic deformation transfer with automatic key point selection. Graphical Models 98 , pp.1-13. (10.1016/j.gmod.2018.05.003)
• Li, K. et al., 2018. Robust non-rigid registration with reweighted position and transformation sparsity. IEEE Transactions on Visualization and Computer Graphics 25 (6), pp.2255-2269. (10.1109/TVCG.2018.2832136)
• Liu, C. et al., 2018. Robust virtual unrolling of historical parchment XMT images. IEEE Transactions on Image Processing 27 (4), pp.1914-1926. (10.1109/TIP.2017.2783626)
• Langenfeld, F. et al., 2018. Protein shape retrieval. Presented at: EG workshop 3D Object Retrieval Delft, the Netherlands 16 April 2018. Proceedings of the 11th Eurographics Workshop on 3D Object Retrieval. Eurographics Association. , pp.53-61. (10.5555/3290638.3290648)
• Tan, Q. et al., 2018. Variational autoencoders for deforming 3D mesh models. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Lake Salt City, USA 18-22 Jun 2018. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. , pp.5841-5850. (10.1109/CVPR.2018.00612.)
• Wang, T. et al., 2018. Consistent segment-wise matching with multi-layer graphs. Presented at: EG UK Computer Graphics & Visual Computing Swansea, UK 13-14 September 2018.

2017

• Bo, L. , Lai, Y. and Rosin, P. L. 2017. Example-based image colorization via automatic feature selection and fusion. Neurocomputing 266 , pp.687-698. (10.1016/j.neucom.2017.05.083)
• Li, B. et al., 2017. Online low-rank representation learning for joint multi-subspace recovery and clustering. IEEE Transactions on Image Processing 27 (1), pp.335-348. (10.1109/TIP.2017.2760510)
• Guo, D. et al., 2017. Global alignment of deformable objects captured by a single RGB-D camera. Presented at: IEEE International Conference on Multimedia and Expo (ICME) Hong Kong, China 10-14 July 2017. 2017 IEEE International Conference on Multimedia and Expo (ICME). IEEE. , pp.1554-1559. (10.1109/ICME.2017.8019318)
• Li, K. et al., 2017. 3-D motion recovery via low rank matrix restoration on articulation graphs. Presented at: IEEE International Conference on Multimedia and Expo (ICME) Hong Kong, China 10-14 July 2017. 2017 IEEE International Conference on Multimedia and Expo (ICME). IEEE. , pp.721-726. (10.1109/ICME.2017.8019486)
• Xia, S. et al., 2017. A survey on human performance capture and animation. Journal of Computer Science and Technology 32 (3), pp.536-554. (10.1007/s11390-017-1742-y)
• Abdulmunem, A. , Lai, Y. and Sun, X. 2017. 3D GLOH features for human action recognition. Presented at: International Conference on Pattern Recognition Cancun, Mexico 4-8 December 2016. 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, New Jersey: IEEE. , pp.805-810. (10.1109/ICPR.2016.7899734)
• Yan, B. et al., 2017. Superlensing microscope objective lens. Applied Optics 56 (11), pp.3142-3147. (10.1364/AO.56.003142)
• Yang, C. , Yong-Jin, L. and Lai, Y. 2017. Learning to rank retargeted images. Presented at: IEEE Conference on Computer Vision and Pattern Recognition Honolulu, Hawaii, USA 21-26 July 2017.
• Chen, S. et al., 2017. Rigidity controllable as-rigid-as-possible shape deformations. Graphical Models 91 , pp.13-21. (10.1016/j.gmod.2017.02.005)
• Wang, M. et al., 2017. 3-D motion recovery via low rank matrix analysis. Presented at: IEEE International Conference on Visual Communications and Image Processing (VCIP) Chengdu, China 27-30 November 2016. 2016 Visual Communications and Image Processing (VCIP). IEEE. , pp.1-4. (10.1109/VCIP.2016.7805473)
• Chen, Y. , Lai, Y. and Liu, Y. 2017. Transforming photos to comics using convolutional neural networks. Presented at: IEEE International Conference on Image Processing (ICIP) Beijing, China 17-20 Sep 2017.
• Gao, L. et al., 2017. Data-driven shape interpolation and morphing editing. Computer Graphics Forum 36 (8), pp.19-31. (10.1111/cgf.12991)
• Li, B. et al., 2017. Example-based image colorization using locality consistent sparse representation. IEEE Transactions on Image Processing 26 (11), pp.516-525. (10.1109/TIP.2017.2732239)
• Rosin, P. and Lai, Y. 2017. Watercolour rendering of portraits. Presented at: PSIVT Vision meets Graphics 2017 Wuhan, China 21 November 2017.
• Tan, Q. et al., 2017. Mesh-based autoencoders for localized deformation component analysis. Presented at: AAAI Conference on Artificial Intelligence New Orleans, Louisiana, USA 2-7 February 2018.
• Yang, J. et al., 2017. Retrieving and classifying affective Images via deep metric learning. Presented at: AAAI Conference on Artificial Intelligence New Orleans, Louisiana, USA 2-7 February 2018.

2016

• Shuai, L. et al., 2016. Color-aware surface registration. Computers and Graphics 58 , pp.31-42.
• Gao, L. et al., 2016. Efficient and flexible deformation representation for data-driven surface modeling. ACM Transactions on Graphics 35 (5) 158. (10.1145/2908736)
• Lin, S. et al., 2016. Fast capture of textured full-body avatar with RGB-D cameras. Visual Computer 32 (6-8), pp.681-691. (10.1007/s00371-016-1245-9)
• Abdulmunem, A. , Lai, Y. and Sun, X. 2016. Saliency guided local and global descriptors for effective action recognition. Computational Visual Media 2 (1), pp.97-106. (10.1007/s41095-016-0033-9)
• Anuar, F. M. , Setchi, R. and Lai, Y. 2016. Semantic retrieval of trademarks based on conceptual similarity. IEEE Transactions on Systems Man and Cybernetics: Systems 46 (2), pp.220-233. (10.1109/TSMC.2015.2421878)
• Li, K. et al., 2016. SPA: Sparse Photorealistic Animation using a single RGB-D camera. IEEE Transactions on Circuits and Systems for Video Technology 27 (4), pp.771-783. (10.1109/TCSVT.2016.2556419)
• Liu, C. et al. 2016. Recovering historical film footage by processing microtomographic images. Presented at: EuroMed 2016: Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection Nicosia, Cyprus 31 October -5 November 2016. Published in: Ioannides, M. et al., 6th International Conference, EuroMed 2016, Nicosia, Cyprus, October 31 – November 5, 2016, Proceedings, Part I. Lecture Notes in Computer Science Springer Verlag. , pp.219-231. (10.1007/978-3-319-48496-9_18)

2015

• Gao, L. et al., 2015. Active exploration of large 3D model repositories. IEEE Transactions on Visualization and Computer Graphics , pp.1390-1402. (10.1109/TVCG.2014.2369039)
• Chen, K. , Lai, Y. and Hu, S. 2015. 3D indoor scene modeling from RGB-D data: a survey. Computational Visual Media 1 (4), pp.267-278. (10.1007/s41095-015-0029-x)
• Liu, C. et al., 2015. Robust segmentation of historical parchment XMT images for virtual unrolling. Presented at: Digital Heritage Granada, Spain 28 Sep - 2 Oct 2015.
• Rosin, P. and Lai, Y. 2015. Non-photorealistic rendering of portraits. Presented at: Expressive 2015: The Joint Symposium on Computational Aesthetics and Sketch-Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering Istanbul, Turkey 20-22 June 2015.
• Xiao, Y. et al., 2015. Optimization-based gradient mesh colour transfer. Computer Graphics Forum 34 (6), pp.123-134. (10.1111/cgf.12524)
• Yang, J. et al., 2015. Sparse non-rigid registration of 3D shapes. Computer Graphics Forum 34 (5), pp.89-99. (10.1111/cgf.12699)

2014

• Chen, K. et al., 2014. Automatic semantic modeling of indoor scenes from low-quality RGB-D data using contextual information. ACM Transactions on Graphics 33 (6) 208. (10.1145/2661229.2661239)
• Wang, M. et al., 2014. Biggerpicture: data-driven image extrapolation using graph matching. ACM Transactions on Graphics 33 (6) 173. (10.1145/2661229.2661278)
• Mills, D. et al., 2014. Apocalypto: revealing lost text with XMT. Presented at: Developments in X-Ray Tomography IX San Diego, California August 17, 2014. Proc. SPIE 9212,. Vol. 9212.Developments in X-Ray Tomography Vol. IX. San Diego, California: SPIE. , pp.921210. (10.1117/12.2061956)
• Wu, J. et al. 2014. Use of non-photorealistic rendering and photometric stereo in making bas-reliefs from photographs. Graphical Models 76 (4), pp.202-213. (10.1016/j.gmod.2014.02.002)
• Huang, S. et al., 2014. Parametric meta-filter modeling from a single example pair. The Visual Computer 30 (6-8), pp.673-684. (10.1007/s00371-014-0973-y)
• Lai, Y. and Rosin, P. L. 2014. Efficient circular thresholding. IEEE Transactions on Image Processing 23 (3), pp.992-1001. (10.1109/TIP.2013.2297014)
• Tam, G. K. L. et al., 2014. Diffusion pruning for rapidly and robustly selecting global correspondences using local isometry. ACM Transactions on Graphics 33 (1) 4. (10.1145/2517967)
• Samko, O. et al. 2014. Virtual unrolling and information recovery from scanned scrolled historical documents. Pattern Recognition 47 (1), pp.248-259. (10.1016/j.patcog.2013.06.015)
• Mohd Anuar, F. , Setchi, R. and Lai, Y. 2014. Trademark retrieval based on phonetic similarity. Presented at: 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC) San Diego, CA 5-8 October, 2015. 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE. , pp.1642-1647. (10.1109/SMC.2014.6974151)
• Tam, G. K. et al., 2014. An efficient approach to correspondences between multiple non-rigid parts. Computer graphics forum 33 (5), pp.137-146. (10.1111/cgf.12439)

2013

• Lai, Y. and Rosin, P. L. 2013. Artistic rendering enhancing global structure. The Visual Computer 30 (10), pp.1179-1193. (10.1007/s00371-013-0898-x)
• Gao, L. et al., 2013. A data-driven approach to realistic shape morphing. Computer graphics forum 32 (2pt4), pp.449-457. (10.1111/cgf.12065)
• Chen, Y. et al. 2013. A data-driven approach to efficient character articulation. Presented at: 2013 International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics) Guangzhou, China 16-18 Nov 2013. Computer-Aided Design and Computer Graphics (CAD/Graphics), 2013 International Conference on. IEEE. , pp.32-37. (10.1109/CADGraphics.2013.11)
• Cheng, Z. et al., 2013. SuperMatching: feature matching using supersymmetric geometric constraints. IEEE Transactions on Visualization and Computer Graphics 19 (11), pp.1885-1894. (10.1109/TVCG.2013.15)
• Lai, Y. and Rosin, P. L. 2013. Non-photorealistic rendering with reduced colour palettes. In: Rosin, P. L. and Collomosse, J. eds. Image and Video-Based Artistic Stylisation. Vol. 42, Computational Imaging and Vision Vol. 42.Springer. , pp.211-236. (10.1007/978-1-4471-4519-6_11)
• Mohd Anuar, F. , Setchi, R. and Lai, Y. 2013. A conceptual model of a trademark retrieval system based on conceptual similarities. Presented at: 17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems Kitakyushu, Japan 9 -12 September 2013. 17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems: Invited Session Proceedings. , pp.300-309.
• Mohd Anuar, F. , Setchi, R. and Lai, Y. 2013. Trademark image retrieval using an integrated shape descriptor. Expert Systems with Applications 40 (1), pp.105-121. (10.1016/j.eswa.2012.07.031)
• Quinn, J. A. et al. 2013. Generalized anisotropic stratified surface sampling. IEEE Transactions on Visualization and Computer Graphics 19 (7), pp.1143-1157. (10.1109/TVCG.2012.305)
• Rosin, P. L. and Lai, Y. 2013. Artistic minimal rendering with lines and blocks. Graphical Models 75 (4), pp.208-229. (10.1016/j.gmod.2013.03.004)
• Rosin, P. L. and Lai, Y. 2013. Non-photorealistic rendering with spot colour. Presented at: SBIM-NPAR: Non-Photorealistic Animation and Rendering Anaheim, CA, USA 19-21 July 2013. Proceedings of the Symposium on Computational Aesthetics. New York, NY: ACM. , pp.67-75. (10.1145/2487276.2487280)
• Tam, G. K. L. et al., 2013. Registration of 3D point clouds and meshes: A survey from rigid to nonrigid. IEEE Transactions on Visualization and Computer Graphics 19 (7), pp.1199-1217. (10.1109/TVCG.2012.310)
• Wu, J. et al. 2013. Making bas-reliefs from photographs of human faces. Computer-Aided Design 45 (3), pp.671-682. (10.1016/j.cad.2012.11.002)
• Xiao, Y. et al., 2013. Example-based color transfer for gradient meshes. IEEE Transactions on Multimedia 15 (3), pp.549-560. (10.1109/TMM.2012.2233725)
• Zhang, G. , Lai, Y. and Hu, S. 2013. Efficient synthesis of gradient solid textures. Graphical Models 75 (3), pp.104-117. (10.1016/j.gmod.2012.10.006)

2012

• Gao, L. , Zhang, G. and Lai, Y. 2012. L p shape deformation. Science China Information Sciences 55 (5), pp.983-993. (10.1007/s11432-012-4574-y)
• Lai, Y. and Martin, R. R. 2012. Vertex location optimisation for improved remeshing. Graphical Models 74 (4), pp.233-243. (10.1016/j.gmod.2012.04.011)
• Quinn, J. A. et al. 2012. Improved initialisation for centroidal Voronoi tessellation and optimal Delaunay triangulation. Computer-Aided Design 44 (11), pp.1062-1071. (10.1016/j.cad.2012.05.002)

2011

• Samko, O. et al. 2011. Segmentation of parchment scrolls for virtual unrolling. Presented at: BMVC 2011: The 22nd British Machine Vision Conference Dundee, UK 29 August - 2 September 2011. Published in: Hoey, J. , McKenna, S. and Trucco, E. eds. Proceedings of the British Machine Vision Conference. Manchester: BMVA Press. , pp.37.1-37.11. (10.5244/C.25.37)
• Zhang, G. et al., 2011. Sketch guided solid texturing. Graphical Models 73 (3), pp.59-73. (10.1016/j.gmod.2010.10.006)

2010

• Lai, Y. et al. 2010. Metric-driven RoSy field design and remeshing. IEEE Transactions on Visualization and Computer Graphics 16 (1), pp.95-108. (10.1109/TVCG.2009.59)
• Lai, Y. , Kobbelt, L. and Hu, S. 2010. Feature aligned quad dominant remeshing using iterative local updates. Computer-Aided Design 42 (2), pp.109-117. (10.1016/j.cad.2009.02.017)
• Shen, C. et al., 2010. Harmonic Field Based Volume Model Construction from Triangle Soup. Journal of Computer Science and Technology 25 (3), pp.562-571. (10.1007/s11390-010-9345-x)

2009

• Lai, Y. , Hu, S. and Fang, T. 2009. Robust principal curvatures using feature adapted integral invariants. Presented at: SPM '09 - 2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling San Francisco, CA, USA 5-8 October 2009. Published in: Gravesen, J. and Keyser, J. eds. SPM '09 - 2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling. New York: ACM. , pp.325-330. (10.1145/1629255.1629298)
• Lai, Y. , Hu, S. and Martin, R. R. 2009. Automatic and topology-preserving gradient mesh generation for image vectorization. ACM Transactions on Graphics 28 (3) 85. (10.1145/1531326.1531391)
• Lai, Y. et al. 2009. Rapid and effective segmentation of 3D models using random walks. Computer Aided Geometric Design 26 (6), pp.665-679. (10.1016/j.cagd.2008.09.007)
• Liu, Y. -. , Lai, Y. and Hu, S. 2009. Stripification of free-form surfaces with global error bounds for developable approximation. IEEE Transactions on Automation Science and Engineering 6 (4), pp.700-709. (10.1109/TASE.2008.2009926)

2008

• Lai, Y. et al. 2008. Fast mesh segmentation using random walks. Presented at: ACM Symposium on Solid and Physical Modeling Stony Brook, New York, USA 2-4 June 2008. Published in: Haines, E. and McGuire, M. eds. SPM 2008 Proceedings: ACM Solid and Physical Modeling Symposium, Stony Brook, New York, June 02-04, 2008. Proceedings of the 2008 ACM symposium on Solid and physical modeling New York: ACM. , pp.183-192. (10.1145/1364901.1364927)
• Lai, Y. , Kobbelt, L. and Hu, S. 2008. An incremental approach to feature aligned quad dominant remeshing. Presented at: SPM '08 - ACM Solid and Physical Modeling Symposium Stony Brook University, Stony Brook, NY, USA 2-4 June 2008. Published in: Haines, E. and McGuire, M. eds. SPM '08 Proceedings of the 2008 ACM symposium on Solid and physical modeling. New York: ACM. , pp.137-145. (10.1145/1364901.1364921)
• Lai, Y. et al. 2008. Fairing wireframes in industrial surface design. Presented at: 10th International Conference on Shape Modeling and Applications Stony Brook, NY, USA 4-6 June 2008. IEEE International Conference on Shape Modeling and Applications 2008 Stony Brook, New York, USA, June 4-6, 2008 : proceedings. Los Alamitos, CA, USA: IEEE Computer Society Press. , pp.29-35. (10.1109/SMI.2008.4547943)
• Zang, Y. , Liu, Y. and Lai, Y. 2008. Note on industrial applications of Hu's surface extension algorithm. In: Chen, F. and Juttler, B. eds. Advances in geometic modelling and processing. Lecture notes in computer science Vol. 4975.Springer. , pp.304-314. (10.1007/978-3-540-79246-8_23)

2007

• Lai, Y. et al. 2007. Robust Feature Classification and Editing. IEEE Transactions on Visualization and Computer Graphics 13 (1), pp.34-45. (10.1109/TVCG.2007.19)
• Pottmann, H. et al., 2007. Principal curvatures from the integral invariant viewpoint. Computer Aided Geometric Design 24 (8-9), pp.428-442. (10.1016/j.cagd.2007.07.004)

2006

• Lai, Y. , Hu, S. and Martin, R. R. 2006. Surface mosaics. The Visual Computer 22 (9-11), pp.604-611. (10.1007/s00371-006-0047-x)
• Lai, Y. , Hu, S. and Pottmann, H. 2006. Surface fitting based on a feature sensitive parametrization. Computer-Aided Design 38 (7), pp.800-807. (10.1016/j.cad.2006.04.007)
• Lai, Y. et al. 2006. Feature sensitive mesh segmentation. Presented at: SPM 2006: ACM Symposium on Solid and Physical Modeling Cardiff, UK 6-8 June 2006. Proceedings, SPM 2006 : ACM Symposium on Solid and Physical Modeling : Cardiff, Wales, United Kingdom, June 06-08, 2006. Vol. SPM06.New York, USA: Association for Computing Machinery. , pp.17-25. (10.1145/1128888.1128891)

2005

• Lai, Y. et al. 2005. Geometric texture synthesis and transfer via geometry images. Presented at: 2005 ACM Symposium on Solid and Physical Modeling (SPM '05) MIT, Cambridge, MA, USA 13-15 June 2005. Published in: Kobbelt, L. and Shapiro, V. eds. SPM '05: Proceedings of the 2005 ACM symposium on Solid and physical modeling. New York: ACM. , pp.15-26. (10.1145/1060244.1060248)