Professor Paul Rosin

2026

• Li, H. et al., 2026. EHIN: Early-aware hierarchical interaction network for weakly-supervised referring image segmentation. Neurocomputing 659 131764. (10.1016/j.neucom.2025.131764)

2025

• Akhtar, N. et al., 2025. A three-level benchmark dataset for spatial and temporal forensic analysis of videos. Machine Vision and Applications 36 (4) 86. (10.1007/s00138-025-01704-w)
• 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)
• 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)
• Cheng, J. et al., 2025. Asymmetric information enhanced mapping framework for multirobot exploration based on deep reinforcement learning. IEEE Transactions on Robotics 41 , pp.6250-6266. (10.1109/TRO.2025.3619045)
• 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)
• Li, Y. et al., 2025. Perception-oriented bidirectional attention network for image super-resolution quality assessment. IEEE Transactions on Image Processing (10.1109/tip.2025.3633145)
• 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)
• Lyu, H. et al. 2025. 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 19-23 Oct 2025. 2025 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE.
• Ma, W. , Karakus, O. and Rosin, P. L. 2025. DiverseNet: Decision diversified semi-supervised semantic segmentation networks for remote sensing imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18 , pp.14258-14271. (10.1109/jstars.2025.3574229)
• Ma, W. , Karakuş, O. and Rosin, P. L. 2025. Patch-GAN transfer learning with reconstructive models for cloud removal. Presented at: 2025 IEEE International Geoscience and Remote Sensing Symposium Brisbane, Australia 3-8 August 2025. Proceedings of the International Geoscience and Remote Sensing Symposium. IEEE. , pp.6275-6279. (10.1109/igarss55030.2025.11243736)
• 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)
• Wu, X. et al. 2025. Distortion-induced saliency shifts in video. IEEE Transactions on Multimedia 27 , pp.7675-7686. (10.1109/TMM.2025.3599087)
• Wu, X. et al. 2025. Image manipulation quality assessment. IEEE Transactions on Circuits and Systems for Video Technology 35 (4), pp.3450-3461. (10.1109/tcsvt.2024.3504854)
• Zhang, M. et al., 2025. SPG-GT: structural prior guided GNN-transformers for ship landmark detection. IEEE Journal of Oceanic Engineering (10.1109/joe.2025.3617916)
• 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)
• 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)

2024

• Chauhan, J. , Rosin, P. L. and Goyal, P. 2024. Burnsnet: Burn region segmentation network from color images with two-way CNN. Presented at: 2024 International Conference on Image Processing (ICIP) Abu Dhabi, United Arab Emirates 27-30 October 2024. Proceedings of 2024 International Conference on Image Processing. Vol. 41., pp.3172-3178. (10.1109/icip51287.2024.10647789)
• 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.
• Huang, K. et al., 2024. Multi-task geometric estimation of depth and surface normal from monocular 360° images. Computational Visual Media
• Liang, Y. et al. 2024. Deep generative model based rate-distortion for image downscaling assessment. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 Seattle, WA, USA 17-21 June 2024. Proceedings of the Conference on Computer Vision and Pattern Recognition. IEEE. , pp.19363-19372. (10.1109/CVPR52733.2024.01832)
• Lou, J. et al. 2024. TranSalNet+: Distortion-aware saliency prediction. Neurocomputing 600 128155. (10.1016/j.neucom.2024.128155)
• Wang, Y. et al., 2024. Exploiting inter-sample affinity for knowability-aware universal domain adaptation. International Journal of Computer Vision 132 (5), pp.1800-1816. (10.1007/s11263-023-01955-y)
• 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)
• 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, M. et al., 2024. Ship landmark: An informative ship image annotation and its applications. IEEE Transactions on Intelligent Transportation Systems 25 (11), pp.17778-17793. (10.1109/TITS.2024.3404973)
• 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)
• Zhao, H. et al., 2024. HairManip: High quality hair manipulation via hair element disentangling. Pattern Recognition 147 110132. (10.1016/j.patcog.2023.110132)
• 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)

2023

• 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)
• 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)
• 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)
• 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)
• Song, R. et al., 2023. 3D Visual saliency: an independent perceptual measure or a derivative of 2d image saliency?. IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (11), pp.13083-13099. (10.1109/TPAMI.2023.3287356)
• 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)
• 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)

2022

• 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.
• Arslan, M. F. et al., 2022. SHREC'21: Quantifying shape complexity. Computers and Graphics 102 , pp.144-153. (10.1016/j.cag.2021.09.005)
• 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)
• Ma, W. , Karakuş, O. and Rosin, P. L. 2022. AMM-FuseNet: attention-based multi-modal image fusion network for land cover mapping. Remote Sensing 14 (18) 4458. (10.3390/rs14184458)
• Nieva De La Hidalga, A. et al. 2022. Cross-validation of a semantic segmentation net-work for natural history collection specimens. Machine Vision and Applications 33 39. (10.1007/s00138-022-01276-z)
• 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)
• 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)
• Wu, G. et al., 2022. LiTMNet: A deep CNN for efficient HDR image reconstruction from a single LDR image. Pattern Recognition 127 108620. (10.1016/j.patcog.2022.108620)
• Wu, X. et al. 2022. Analysis of video quality induced spatio-temporal saliency shifts. Presented at: 29th IEEE International Conference on Image Processing (IEEE ICIP) Bordeaux, France 16-19 October 2022. 2022 IEEE International Conference on Image Processing (ICIP). IEEE. , pp.1581-1585. (10.1109/ICIP46576.2022.9897995)
• 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)
• 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)

2021

• 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)
• Fan, L. , Sun, X. and Rosin, P. L. 2021. Attention-modulated triplet network for face sketch recognition. IEEE Access 9 , pp.12914 - 12921. (10.1109/ACCESS.2021.3049639)
• Song, R. , Liu, Y. and Rosin, P. 2021. Mesh saliency via weakly supervised classification-for-saliency CNN. IEEE Transactions on Visualization and Computer Graphics 27 (1), pp.151-164. (10.1109/TVCG.2019.2928794)
• 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)
• Zhang, B. et al., 2021. Research on performance evaluation and optimization theory for thermal microscope imaging systems. Applied Sciences 11 (13) 5897. (10.3390/app11135897)

2020

• 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)
• Cai, W. et al., 2020. Panoptic segmentation-based attention for image captioning. Applied Sciences 10 (1) 391. (10.3390/app10010391)
• 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)
• 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)
• 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)
• 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)
• 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)
• Nieva de la Hidalga, A. et al. 2020. Designing an herbarium digitisation workflow with built-in image quality management. Biodiversity Data Journal 8 e47051. (10.3897/BDJ.8.e47051)
• Redfern, J. et al. 2020. Association of violence with urban points of interest. PLoS ONE 15 (9) e0239840. (10.1371/journal.pone.0239840)
• Song, R. , Liu, Y. and Rosin, P. L. 2020. Distinction of 3D objects and scenes via classification network and Markov random field. IEEE Transactions on Visualization and Computer Graphics 26 (6)(10.1109/TVCG.2018.2885750)
• Yang, J. et al., 2020. Subspace clustering via good neighbors. IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (6), pp.1537-1544. (10.1109/TPAMI.2019.2913863)
• Yang, J. et al., 2020. Self-paced balance learning for clinical skin disease recognition. IEEE Transactions on Neural Networks and Learning Systems 31 (8), pp.2832-2846. (10.1109/TNNLS.2019.2917524)
• 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)
• Zhang, B. et al., 2020. Adaptive position calibration technique for an optical micro-scanning thermal microscope imaging system. Infrared Physics and Technology 105 103186. (10.1016/j.infrared.2020.103186)
• 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)
• 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)
• Zunic, J. and Rosin, P. L. 2020. Measuring shapes with desired convex polygons. IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (6)(10.1109/TPAMI.2019.2898830)

2019

• Asghar, K. et al., 2019. Edge-texture feature based image forgery detection with cross dataset evaluation. Machine Vision and Applications 30 (7-8), pp.1243-1262. (10.1007/s00138-019-01048-2)
• Bonnici, A. et al., 2019. Sketch-based interaction and modeling: where do we stand?. AI EDAM 33 (4), pp.370-388. (10.1017/S0890060419000349)
• Cheng, M. et al., 2019. Structure-preserving neural style transfer. IEEE Transactions on Image Processing 29 , pp.909-920.
• Cheng, M. et al., 2019. BING: Binarized normed gradients for objectness estimation at 300fps. Computational Visual Media 5 (1), pp.3-20. (10.1007/s41095-018-0120-1)
• Corcoran, P. , Zunic, J. and Rosin, P. 2019. A multi-scale topological shape model for single and multiple component shapes. Journal of Visual Communication and Image Representation 64 102617. (10.1016/j.jvcir.2019.102617)
• 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)
• Dyke, R. et al. 2019. SHREC-19: Shape correspondence with isometric and non-isometric deformations. Presented at: Eurographics Workshop on 3D Object Retrieval Genova, Italy 5-6 May 2019.
• Fan, D. et al., 2019. Scoot: A perceptual metric for facial sketches. Presented at: ICCV 2019: International Conference on Computer Vision Seoul, South Korea 27 Oct - 2 Nov 2019. IEEE International Conference on Computer Vision. Computer Vision Foundation. , pp.5612-5622.
• 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)
• 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)
• Liang, J. et al., 2019. Simultaneous subspace clustering and cluster number estimating based on triplet relationship. IEEE Transactions on Image Processing 28 (8), pp.3973-3985. (10.1109/TIP.2019.2903294)
• Liu, C. et al., 2019. Multi-scale residual hierarchical dense networks for single image super-resolution. IEEE Access 7 , pp.60572 -60583. (10.1109/ACCESS.2019.2915943)
• Liu, J. et al. 2019. Image-driven unsupervised 3D model co-segmentation. Visual Computer 35 (6-8), pp.909-920. (10.1007/s00371-019-01679-6)
• Nieva De La Hidalga, A. et al. 2019. Use of semantic segmentation for increasing the throughput of digitisation workflows for natural history collections. Presented at: Biodiversity_Next 2019 Leiden, The Netherlands 21-25 October 2019. Biodiversity Information Science and Standards. Vol. 3.Vol. e37161. Pensoft(10.3897/biss.3.37161)
• Pezzica, C. et al. 2019. Between images and built form: automating the recognition of standardised building components using deep learning. Presented at: 27th CIPA International Symposium “Documenting the past for a better future” Avila, Spain 1-5 September 2019. ISPRS Ann. Photogramm. Remote Sens. Vol. IV-2.Copernicus. , pp.123-132. (10.5194/isprs-annals-IV-2-W6-123-2019)
• 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.
• 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)
• Zhao, H. et al., 2019. Image neural style transfer with global and local optimization fusion. IEEE Access 7 (1), pp.85573-85580. (10.1109/ACCESS.2019.2922554)

2018

• 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. , pp.-.
• Farnell, D. J. J. et al. 2018. What's in a smile? Initial analyses of dynamic changes in facial shape and appearance. Journal of Imaging 5 (1) 2. (10.3390/jimaging5010002)
• 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. IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops.
• 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.
• Langenfeld, F. et al., 2018. SHREC 2018 - Protein Shape Retrieval. Presented at: EG workshop 3D Object Retrieval Delft, the Netherlands 16 April 2018.
• 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)
• Pickup, D. et al., 2018. An evaluation of canonical forms for non-rigid 3D shape retrieval. Graphical Models 97 , pp.17-29. (10.1016/j.gmod.2018.02.002)
• Pickup, D. et al., 2018. An evaluation of canonical forms for non-rigid 3D shape retrieval. Graphical Models 97 , pp.17-29. (10.1016/j.gmod.2018.02.002)
• 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. Biharmonic deformation transfer with automatic key point selection. Graphical Models 98 , pp.1-13. (10.1016/j.gmod.2018.05.003)
• Yang, J. et al., 2018. Dynamic match kernel with deep convolutional features for image retrieval. IEEE Transactions on Image Processing 27 (11), pp.5288-5302. (10.1109/TIP.2018.2845136)
• Yang, J. et al., 2018. Visual sentiment prediction based on automatic discovery of affective regions. IEEE Transactions on Multimedia 20 (9), pp.2513-2525. (10.1109/TMM.2018.2803520)
• Yang, J. et al., 2018. Clinical skin lesion diagnosis using representations inspired by dermatologist criteria. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) Salt Lake City, UT, USA 18-22 June 2018. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. , pp.1258-1266. (10.1109/CVPR.2018.00137)

2017

• Al-Meyah, K. , Marshall, D. and Rosin, P. L. 2017. 4D analysis of facial ageing using dynamic features. Procedia Computer Science 112 , pp.790-799. (10.1016/j.procs.2017.08.037)
• 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)
• Cheng, M. et al., 2017. Intelligent visual media processing: when graphics meets vision. Journal of Computer Science and Technology 32 (1), pp.110-121. (10.1007/s11390-017-1681-7)
• Huang, H. et al., 2017. Practical automatic background substitution for live video. Computational Visual Media 3 (3), pp.273-284. (10.1007/s41095-016-0074-0)
• Khayeat, A. , Rosin, P. L. and Sun, X. 2017. Copy-move forgery detection using the segment gradient orientation histogram. Presented at: Scandinavian Conference on Image Analysis Tromsø, Norway 12-14,June 2017. Published in: Sharma, P. and Bianchi, F. M. eds. SCIA 2017: Image Analysis. Vol. 1.Lecture Notes in Computer Science Vol. 10269. Cham: Springer. , pp.209-220. (10.1007/978-3-319-59126-1_18)
• 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)
• Liu, X. et al., 2017. Depth-aware neural style transfer. Presented at: NPAR Non-Photorealistic Animation and Rendering Los Angeles, CA, USA 29-30 July 2017. Published in: Spencer, S. N. ed. NPAR '17 Proceedings of the Symposium on Non-Photorealistic Animation and Rendering. Association for Computing Machinery. , pp.4. (10.1145/3092919.3092924)
• Lloyd, K. et al. 2017. Violent behaviour detection using local trajectory response. Presented at: 7th International Conference on Imaging for Crime Detection and Prevention Madrid, Spain 23-25 November 2016. 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016). IET Seminar Digests 2016/0006 Institution of Engineering and Technology. , pp.78-83. (10.1049/ic.2016.0082)
• Lloyd, K. et al. 2017. Detecting violent and abnormal crowd activity using temporal analysis of grey level co-occurrence matrix (GLCM)-based texture measures. Machine Vision and Applications 28 , pp.361-371. (10.1007/s00138-017-0830-x)
• Mould, D. and Rosin, P. L. 2017. Developing and applying a benchmark for evaluating image stylization. Computers and Graphics 67 , pp.58-76. (10.1016/j.cag.2017.05.025)
• Redfern, J. et al. 2017. An open-data, agent-based model of alcohol related crime. Presented at: 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) Lecce 29 August - 1 September 2017. Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference. IEEE Xplore(10.1109/AVSS.2017.8078513)
• Rosin, P. and Lai, Y. 2017. Watercolour rendering of portraits. Presented at: PSIVT Vision meets Graphics 2017 Wuhan, China 21 November 2017.
• Rosin, P. L. et al. 2017. Benchmarking non-photorealistic rendering of portraits. Presented at: NPAR Non-Photorealistic Animation and Rendering Los Angeles, CA, USA 29-30 July 2017. Published in: Spencer, S. N. ed. NPAR '17 Proceedings of the Symposium on Non-Photorealistic Animation and Rendering. Association for Computing Machinery. , pp.11. (10.1145/3092919.3092921)

2016

• Khayeat, A. , Sun, X. and Rosin, P. L. 2016. Improved DSIFT descriptor based copy-rotate-move forgery detection. Presented at: PSIVT 2015: 7th Pacific Rim Symposium on Image and Video Technology Auckland, New Zealand 25-27November 2015. Image and Video Technology. Vol. 9431.Lecture Notes in Computer Science Vol. 9431. Springer. , pp.642-655. (10.1007/978-3-319-29451-3_51)
• 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)
• Ng, W. S. et al., 2016. Automated registration of multimodal optic disc images: clinical assessment of alignment accuracy. Journal of Glaucoma 25 (4), pp.397-402. (10.1097/IJG.0000000000000252)
• Pickup, D. et al. 2016. Shape retrieval of non-rigid 3D human models. International Journal of Computer Vision 120 (2), pp.169-193. (10.1007/s11263-016-0903-8)
• Pickup, D. et al. 2016. Skeleton-based canonical forms for non-rigid 3D shape retrieval. Computational Visual Media 2 (3), pp.231-243. (10.1007/s41095-016-0045-5)
• Pratikakis, I. et al., 2016. SHREC'16 track: partial shape queries for 3D object retrieval. Presented at: Eurographics Workshop on 3D Object Retrieval Lisbon, Portugal 8 May 2016.
• Rosin, P. L. , Pantovic, J. and Zunic, J. 2016. Measuring linearity of curves in 2D and 3D. Pattern Recognition 49 , pp.65-78. (10.1016/j.patcog.2015.07.011)
• Tralic, D. et al., 2016. Combining cellular automata and local binary patterns for copy-move forgery detection. Multimedia Tools and Applications 75 (24), pp.16881-16903. (10.1007/s11042-015-2961-2)
• Wu, J. et al. 2016. Improving shape from shading with interactive Tabu search. Journal of Computer Science and Technology 31 (3), pp.488-500. (10.1007/s11390-016-1639-1)

2015

• Al Ali, A. et al., 2015. The influence of snoring, mouth breathing and apnoea on facial morphology in late childhood: a three-dimensional study. BMJ Open 5 (9) e009027. (10.1136/bmjopen-2015-009027)
• Duvernoy, S. and Rosin, P. L. 2015. The compass, the ruler and the computer: An analysis of the design of the amphitheatre of Pompeii. In: Williams, K. and Ostwald, M. J. eds. Architecture and Mathematics from Antiquity to the Future. Springer. , pp.525-540. (10.1007/978-3-319-00143-2_36)
• Lian, Z. et al., 2015. SHREC'15 Track: Non-rigid 3D shape retrieval. Presented at: 8th Eurographics Workshop on 3D Object Retrieval Zurich, Switzerland 2-3 May 2015. , pp.257-266. (10.2312/3dor.20151064)
• 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.
• Marshall, A. D. et al. 2015. 4D Cardiff Conversation Database (4D CCDb): A 4D database of natural,dyadic conversations. Presented at: FAAVSP - The 1st Joint Conference on Facial Analysis, Animation, and Auditory-Visual Speech Processing Vienna, Austria 11-13 September 2015. FAAVSP-2015. ISCA. , pp.157-162.
• Pickup, D. et al. 2015. Euclidean-distance-based canonical forms for non-rigid 3D shape retrieval. Pattern Recognition 48 (8), pp.2500-2512. (10.1016/j.patcog.2015.02.021)
• Pickup, D. et al. 2015. SHREC'15 Track: Canonical forms for non-rigid 3D shape retrieval. Presented at: 8th Eurographics Workshop on 3D Object Retrieval Zurich, Switzerland 2-3 May 2015. Eurographics Workshop on 3D Object Retrieval. , pp.316-327. (10.2312/3dor.20151063)
• 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.
• Rosin, P. L. 2015. Feature neighbourhood mutual information for multi-modal image registration: An application to eye fundus imaging. Pattern Recognition 48 (6), pp.1937-1946. (10.1016/j.patcog.2014.12.014)
• Rosin, P. L. , Pantovic, J. and Zunic, J. 2015. Measuring linearity of connected configurations of a finite number of 2D and 3D curves. Journal of Mathematical Imaging and Vision 53 (1), pp.1-11. (10.1007/s10851-014-0542-z)
• Slade, J. D. , Jones, C. B. and Rosin, P. L. 2015. Automatic semantic and geometric enrichment of CityGML building models using HoG-based template matching. In: Abdul-Rahman, A. ed. Advances in 3D Geoinformation. Lecture Notes in Geoinformation and Cartography Springer International Publishing. , pp.357-372. (10.1007/978-3-319-25691-7_20)
• Slade, J. D. , Jones, C. B. and Rosin, P. L. 2015. Semantic and geometric enrichment of 3D geo-spatial building models with photo captions and illustration labels using template matching & SIFT. Presented at: GIS Research UK (GISRUK) 2015 Leeds, UK 15-17 April 2015.
• Zunic, J. , Pantovic, J. and Rosin, P. L. 2015. Measuring linearity of planar curves. Presented at: International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2013 Barcelona, Spain 15-18 February 2013. Published in: Fred, A. and De Marsico, M. eds. Pattern Recognition Applications and Methods. Vol. 318.Advances in Intelligent Systems and Computing Springer. , pp.257-271. (10.1007/978-3-319-12610-4_16)

2014

• Al Ali, A. et al., 2014. A three-dimensional analysis of the effect of atopy on face shape. European Journal of Orthodontics 36 (5), pp.506-511. (10.1093/ejo/cjs107)
• Dijana, T. et al., 2014. Detection of duplicated image regions using cellular automata. 2014 International Conference on Systems, Signals and Image Processing (IWSSIP) , pp.167-170.
• Fang, H. et al., 2014. Facial expression recognition in dynamic sequences: An integrated approach. Pattern Recognition 47 (3), pp.1271-1281. (10.1016/j.patcog.2013.09.023)
• Jones, C. B. , Rosin, P. L. and Slade, J. D. 2014. Semantic and geometric enrichment of 3D geo-spatial models with captioned photos and labelled illustrations. Presented at: Workshop on Vision and Language, 25th International Conference on Computational Linguistics, Coling 2014, Dublin, Ireland 23 August 2014.
• 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)
• 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)
• Pickup, D. et al. 2014. SHREC'14 Track: Shape retrieval of non-rigid 3D human models. Presented at: Eurographics Workshop on 3D Object Retrieval Strasbourg, France 6 April 2014. , pp.101-110.
• Rosin, P. L. and Sun, X. 2014. Edge detection using cellular automata. In: Rosin, P. L. , Adamatzky, A. and Sun, X. eds. Cellular Automata in Image Processing and Geometry. Emergence, Complexity and Computation Vol. 10.Springer. , pp.85-103. (10.1007/978-3-319-06431-4_5)
• 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)
• Song, R. et al., 2014. Mesh saliency via spectral processing. ACM Transactions on Graphics 33 (1) 6. (10.1145/2530691)
• Song, R. et al., 2014. Scan integration as a labelling problem. Pattern Recognition 47 (8), pp.2768-2782. (10.1016/j.patcog.2014.02.008)
• 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)
• 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)
• Tralic, D. et al., 2014. Copy-move forgery detection using cellular automata. In: Rosin, P. , Adamatzky, A. and Sun, X. eds. Cellular Automata in Image Processing and Geometry. Vol. 10, Emergence, Complexity and Computation Springer. , pp.105-125. (10.1007/978-3-319-06431-4_6)
• Tudor, D. et al. 2014. Non-invasive detection of early retinal neuronal degeneration by ultrahigh resolution optical coherence tomography. PLoS ONE 9 (4) e93916. (10.1371/journal.pone.0093916)
• 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)
• Zunic, J. , Hirota, K. and Rosin, P. L. 2014. Note on the shape circularity measure method based on radial moments. Journal of Electronic Imaging 23 (2) 029701. (10.1117/1.JEI.23.2.029701)

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)
• 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)
• Parker, G. et al. 2013. A pitfall in the reconstruction of fibre ODFs using spherical deconvolution of diffusion MRI data. NeuroImage 65 , pp.433-448. (10.1016/j.neuroimage.2012.10.022)
• Popat, H. et al. 2013. A geometric morphometric approach to the analysis of lip shape during speech: development of a clinical outcome measure. PLoS ONE 8 (2) e57368. (10.1371/journal.pone.0057368)
• 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)
• Song, R. et al., 2013. 3D point of interest detection via spectral irregularity diffusion. The Visual Computer 29 (6-8), pp.695-705. (10.1007/s00371-013-0806-4)
• Song, Y. et al., 2013. Abstract art by shape classification. IEEE Transactions on Visualization and Computer Graphics 19 (8), pp.1252-1263. (10.1109/TVCG.2013.13)
• 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)
• Zunic, J. and Rosin, P. L. 2013. Orientation and anisotropy of multi-component shapes. In: Breuss, M. , Bruckstein, A. and Maragos, P. eds. Innovations for Shape Analysis. Models and Algorithms Vol. 1.Springer. , pp.137-157. (10.1007/978-3-642-34141-0_7)

2012

• Al Ali, A. et al., 2012. The influence of asthma on face shape: a three-dimensional study. European Journal of Orthodontics 36 (4), pp.373-380. (10.1093/ejo/cjs067)
• Havell, B. et al. 2012. A hybrid phoneme based clustering approach for audio driven facial animation. Presented at: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Kyoto, Japan 25-30 March 2012. 2012 IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings. Los Alamitos, CA: IEEE. , pp.2261-2264. (10.1109/ICASSP.2012.6288364)
• Kajic, V. et al. 2012. Automated choroidal segmentation of 1060 nm OCT in healthy and pathologic eyes using a statistical model. Biomedical Optics Express 3 (1), pp.86-103. (10.1364/BOE.3.000086)
• Lian, Z. et al., 2012. A new convexity measurement for 3D meshes. Presented at: IEEE Conference on Computer Vision and Pattern Recognition Providence, RI 16-21 June 2012. 2012 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE. , pp.119-126. (10.1109/CVPR.2012.6247666)
• Popat, H. et al. 2012. Three-dimensional assessment of functional change following Class 3 orthognathic correction - a preliminary report. Journal of Cranio-Maxillofacial Surgery 40 (1), pp.36-42. (10.1016/j.jcms.2010.12.005)
• Popat, H. et al. 2012. Statistical modelling of lip movement in the clinical context. Orthodontics & Craniofacial Research 15 (2), pp.92-102. (10.1111/j.1601-6343.2011.01539.x)
• Richmond, S. et al. 2012. Detailing patient specific modeling to aid clinical decision-making. Lecture Notes in Computational Vision and Biomechanics 5 , pp.105-131. (10.1007/978-94-007-4552-0_5)
• Song, R. et al., 2012. Saliency-guided integration of multiple scans. Presented at: IEEE Conference on Computer Vision and Pattern Recognition Providence, RI 16-21 June 2012. Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. , pp.1474-1481. (10.1109/CVPR.2012.6247836)
• Song, R. et al., 2012. An evaluation method for multiview surface reconstruction algorithms. Presented at: Second International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT) Zurich, Switzerland 13-15 October 2012. 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012 Second International Conference on. IEEE. , pp.387-394. (10.1109/3DIMPVT.2012.24)
• Toma, A. M. et al. 2012. The assessment of facial variation in 4747 British school children. European Journal of Orthodontics 34 (6), pp.655-664. (10.1093/ejo/cjr106)

2011

• Popat, H. et al. 2011. Facial Movement in 3 Dimensions: Average Templates of Lip Movement in Adults. Otolaryngology-Head and Neck Surgery 145 (1), pp.24-29. (10.1177/0194599811401701)
• Rosin, P. L. and Sun, X. 2011. Cellular automata as a tool for image processing. In: Chen, C. H. ed. Emerging Topics in Computer Vision and its Applications. Vol. 1, Series in Computer Vision Vol. 1.World Scientific Publishing. , pp.233-251. (10.1142/9789814343008_0012)
• Rosin, P. L. and Žunić, J. 2011. Measuring squareness and orientation of shapes. Journal of Mathematical Imaging and Vision 39 (1), pp.13-27. (10.1007/s10851-010-0221-7)
• Rosin, P. L. and Žunić, J. 2011. Orientation and anisotropy of multi-component shapes from boundary information. Pattern Recognition 44 (9), pp.2147-2160. (10.1016/j.patcog.2011.02.018)
• 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)
• Song, R. et al., 2011. Higher Order CRF for Surface Reconstruction from Multi-view Data Sets. Presented at: International Conference on 3-D Imaging, Modeling, Processing, Visualization and Transmission Hangzhou, China 16-19 May, 2011. 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), Hangzhou, China, 16-19 May 2011. Los Alamitos, CA: IEEE. , pp.156-163. (10.1109/3DIMPVT.2011.27)
• Song, R. et al., 2011. MRF Labeling for Multi-view Range Image Integration. Lecture Notes in Computer Science 6493 , pp.27-40. (10.1007/978-3-642-19309-5_3)
• Song, R. et al., 2011. MRF-based automatic image ordering and its application to mosaicing. Presented at: International Conference on Acoustics, Speech and Signal Processing ( ICASSP) Pregue, Czech Republic 22-27 May 2011. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing proceedings : 22-27 May 2011, Prague, Czech Republic. Los Alamitos, CA: IEEE. , pp.1549-1552. (10.1109/ICASSP.2011.5946790)
• Sun, X. , Rosin, P. L. and Martin, R. R. 2011. Fast rule identification and neighborhood selection for cellular automata. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 41 (3), pp.749-760. (10.1109/TSMCB.2010.2091271)
• Tam, K. et al. 2011. Visualization of time-series data in parameter space for understanding facial dynamics. Computer Graphics Forum 30 (3), pp.901-910. (10.1111/j.1467-8659.2011.01939.x)
• Tong, Q. et al., 2011. Nested Images. Presented at: Asian Conference on Design and Digital Engineering 2011 (ACDDE 2011) Shanghai, China 27-29 August 2011. Proceedings of the 2011 Asian Conference on Design and Digital Engineering (ACDDE 2011). , pp.445-450.
• Žunić, J. and Rosin, P. L. 2011. Measuring linearity of open planar curve segments. Image and Vision Computing 29 (12), pp.873-879. (10.1016/j.imavis.2011.10.002)

2010

• Kajić, V. et al., 2010. Robust segmentation of intraretinal layers in the normal human fovea using a novel statistical model based on texture and shape analysis. Optics Express 18 (14), pp.14730-14744. (10.1364/OE.18.014730)
• Lian, Z. , Rosin, P. L. and Sun, X. 2010. Rectilinearity of 3D meshes. International Journal of Computer Vision 89 (2-3), pp.130-151. (10.1007/s11263-009-0295-0)
• Popat, H. et al. 2010. A comparison of the reproducibility of verbal and nonverbal facial gestures using three-dimensional motion analysis. Otolaryngology-Head and Neck Surgery 142 (6), pp.867-72. (10.1016/j.otohns.2010.03.003)
• Rosin, P. L. 2010. Image processing using 3-state cellular automata. Computer Vision and Image Understanding 114 (7), pp.790-802. (10.1016/j.cviu.2010.02.005)
• Song, R. et al., 2010. Markov Random Field-Based Clustering for the Integration of Multi-view Range Images. Lecture Notes in Computer Science 6453 , pp.644-653. (10.1007/978-3-642-17289-2_62)
• Truong-Benedikt, L. et al. 2010. Assessing the uniqueness and permanence of facial actions for use in biometric applications. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 40 (3), pp.449-460. (10.1109/TSMCA.2010.2041656)
• Žunić, J. , Hirota, K. and Rosin, P. L. 2010. A Hu moment invariant as a shape circularity measure. Pattern Recognition 43 (1), pp.47-57. (10.1016/j.patcog.2009.06.017)

2009

• Godil, A. et al., 2009. SHREC'09 Track: Generic shape retrieval. Presented at: EG 3DOR 2009 : Eurographics 2009 Workshop on 3D Object Retrieval Munich, Germany 29 March 2009. Published in: Pratikakis, I. et al., Proceedings of the Eurographics Workshop on 3D Object Retrieval, Munich, Germany, 29 March 2009. Aire-la-Ville, Switzerland: Eurographics Association. , pp.61-68.
• Huang, H. et al., 2009. Real-time content-aware image resizing. Science in China Series F - Information Sciences 52 (2), pp.172-182. (10.1007/s11432-009-0041-9)
• Huang, H. et al., 2009. Edge-Aware Level Set Diffusion and Bilateral Filtering Reconstruction for Image Magnification. Journal of Computer Science and Technology 24 (4), pp.734-744. (10.1007/s11390-009-9254-z)
• Huang, Y. et al., 2009. Expressive line drawings of human faces from range images. Science in China Series F: Information Sciences 52 (2), pp.295-307. (10.1007/s11432-009-0039-3)
• Krumhuber, E. et al., 2009. Effects of dynamic attributes of smiles in human and synthetic faces: a simulated job interview setting. Journal of Nonverbal Behavior 33 (1), pp.1-15. (10.1007/s10919-008-0056-8)
• 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)
• Legg, P. A. et al. 2009. A Robust Solution to Multi-modal Image Registration by Combining Mutual Information with Multi-scale Derivatives. Lecture Notes in Computer Science 5761 , pp.616-623. (10.1007/978-3-642-04268-3_76)
• Legg, P. A. et al. 2009. Non-rigid elastic registration of retinal images using local window mutual information. Presented at: Medical image understanding and analysis 2009 Kingston upon Thames, UK 14-15 July 2009. Published in: Dehmeshki, J. , Hoppe, A. and Greenhill, D. eds. Proceedings of the 13th Annual Conference on Medical Image Understanding and Analysis 2008, Kingston, UK, 14-15 July 2009. British Machine Vision Association. , pp.144-148.
• Popat, H. et al. 2009. Quantitative analysis of facial movement - A review of three-dimensional imaging techniques. Computerized Medical Imaging and Graphics 33 (5), pp.377-383. (10.1016/j.compmedimag.2009.03.003)
• Rosin, P. L. 2009. A simple method for detecting salient regions. Pattern Recognition 42 (11), pp.2363-2371. (10.1016/j.patcog.2009.04.021)
• Rosin, P. L. 2009. Classification of pathological shapes using convexity measures. Pattern Recognition Letters 30 (5), pp.570-578. (10.1016/j.patrec.2008.12.001)
• Sun, X. et al. 2009. Bas-relief generation using adaptive histogram equalization. IEEE Transactions on Visualization and Computer Graphics 15 (4), pp.642-653. (10.1109/TVCG.2009.21)
• Sun, X. et al. 2009. Noise analysis and synthesis for 3D laser depth scanners. Graphical Models 71 (2), pp.34-48. (10.1016/j.gmod.2008.12.002)
• Sun, X. et al. 2009. Random walks for feature-preserving mesh denoising. Computer Aided Geometric Design 25 (7), pp.437-456. (10.1016/j.cagd.2007.12.008)

2008

• Balikai, A. et al., 2008. Shapes fit for purpose. Presented at: British Machine Vision Conference 2008 Leeds, UK 1-4 September 2008. Published in: Everingham, M. and Needham, C. eds. Proceedings of the British Machine Vision Conference, Leeds, UK, 1-4 September 2008. BMVA Press. , pp.45.1-45.10. (10.5244/C.22.45)
• Cosker, D. et al., 2008. Towards automatic performance-driven animation between multiple types of facial model. IET Computer Vision 2 (3), pp.129-141. (10.1049/iet-cvi:20070041)
• Cosker, D. et al., 2008. Automatic audio driven animation of non-verbal actions. Presented at: Proceedings. of the 8th International Conference on Computer Methods in Biomechanics and Biomedical Engineering, Porto, Portugal Porto, Portugal
• 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)
• Legg, P. A. et al. 2008. Incorporating neighbourhood feature derivatives with Mutual Information to improve accuracy of multi-modal image registration. Presented at: 12th Annual Conference on Medical Image Understanding and Analysis Dundee, UK 2-3 July 2008. Published in: McKenna, S. and Hoey, J. eds. Medical Image Understanding and Analysis 2008: Proceedings of the 12th Annual Conference University of Dundee, 2-3 July 2008. Dundee: British Machine Vision Association. , pp.39-43.
• Lian, Z. , Rosin, P. L. and Sun, X. 2008. A rectilinearity measurement for 3d meshes. Presented at: 1st ACM International Workshop on Multimedia Information Retrieval ; 16th ACM International Conference on Multimedia Vancouver, Canada 30-31 October 2008. Published in: Lew, M. S. ed. MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval. ACM conference proceedings series; ; 476. Vol. 476. New York, NY: ACM. , pp.395-402. (10.1145/1460096.1460161)
• Mitchell, N. C. et al. 2008. Lava penetrating water: Submarine lava flows around the coasts of Pico Island, Azores. Geochemistry Geophysics Geosystems 9 (3) Q03024. (10.1029/2007GC001725)
• Moore, S. C. et al. 2008. A particle model of crowd behavior: exploring the relationship between alcohol, crowd dynamics and violence. Aggression and Violent Behavior 13 (6), pp.413-422. (10.1016/j.avb.2008.06.004)
• Popat, H. et al. 2008. Three-dimensional motion analysis - an exploratory study. Part 1: Assessment of facial movement. Orthodontics and Craniofacial Research 11 (4), pp.216-223. (10.1111/j.1601-6343.2008.00433.x)
• Popat, H. et al. 2008. Three-dimensional motion analysis - an exploratory study. Part 2: Reproducibility of facial movement. Orthodontics and Craniofacial Research 11 (4), pp.224-228. (10.1111/j.1601-6343.2008.00435.x)
• Rosin, P. 2008. A two-component rectilinearity measure. Computer Vision and Image Understanding 109 (2), pp.176-185. (10.1016/j.cviu.2007.09.010)
• Rosin, P. L. and Zunic, J. 2008. 2D shape measures for computer vision. In: Nayak, A. and Stojmenovic, I. eds. Handbook of applied algorithms : solving scientific, engineering and practical problems. Hoboken, N.J.: Wiley. , pp.347-372.
• Song, Y. -. et al., 2008. Arty shapes. Presented at: Eurographics Workshop on Computational Aesthetics in Graphics, Visualization and Imaging Lisbon, Portugal 18-20 June 2008. Published in: Brown, P. et al., Computational Aesthetics 2008: Proceedings of the Eurographics Workshop on Computational Aesthetics in Graphics, Visualization and Imaging, Lisbon, Portugal, 18-20 June 2008. Aire-la-Ville, Switzerland: The Eurographics Association. , pp.65-72.
• Sun, X. et al. 2008. Noise in 3D laser range scanner data. Presented at: 10th International Conference on Shape Modeling and Applications Stony Brook, NY, USA 4-6 June 2008. Published in: Michela Spagnuolo, M. , Cohen-Or;, D. and Gu, X. D. G. eds. Shape Modeling and Applications, 2008. SMI 2008. IEEE International Conference. Los Alamitos, CA: IEEE Computer Society. , pp.37-45. (10.1109/SMI.2008.4547945)
• Truong-Benedikt, L. et al. 2008. 3D facial gestures in biometrics: from feasibility study to application. Presented at: IEEE Conference on Biometrics: Theory, Applications, and Systems Arlington, VA, USA 29 September - 1 October 2008. Published in: Bowyer, K. W. ed. BTAS 2008. 2nd IEEE International Conference on Biometrics: Theory, Applications and Systems, 2008, Arlington, VA, 29 Sept. -1 Oct. 2008. Los Alamitos, CA: IEEE(10.1109/BTAS.2008.4699351)
• Truong-Benedikt, L. et al. 2008. Facial dynamics in biometric identification. Presented at: British Machine Vision Conference Leeds, UK September 2008. Published in: Everingham, M. and Needham, C. J. eds. Proceedings of the British Machine Vision Conference, Leeds, UK, 1-4 September 2008. BMVA Press. , pp.107.1-107.10. (10.5244/C.22.107)
• Žunić, J. and Rosin, P. L. 2008. An alternative approach to computing shape orientation with an application to compound shapes. International Journal of Computer Vision 81 (2), pp.138-154. (10.1007/s11263-008-0149-1)

2007

• Cosker, D. P. et al. 2007. Re-mapping animation parameters between multiple types of facial model. Presented at: MIRAGE 2007 Rocquencourt, France 28-30 March 2007. Computer Vision/Computer Graphics Collaboration Techniques. Lecture Notes in Computer Science Vol. 4418. Berlin/Heidelberg: Springer. , pp.365-376. (10.1007/978-3-540-71457-6_33)
• Krumbhuber, E. et al., 2007. Facial dynamics as indicators of trustworthiness and cooperative behavior. Emotion 7 (4), pp.730-735. (10.1037/1528-3542.7.4.730)
• Legg, P. A. et al. 2007. Improving accuracy and efficiency of registration by mutual information using Sturges' Histogram Rule. Presented at: 11th Conference on Medical Image Understanding and Analysis 2007 Aberystwyth, Wales 17-18 July 2007. Published in: Zwiggelaar, R. and Labrosse, F. eds. Proceedings of Medical Image Understanding and Analysis 2007. Cambridge: BMVA. , pp.26-30.
• Liu, S. et al. 2007. Background surface estimation for reverse engineering of reliefs. International Journal of CAD/CAM 7 (1), pp.1-17.
• Liu, S. et al. 2007. Segmenting geometric reliefs from textured background surfaces. Computer-aided design and applications 4 (5), pp.565-583.
• Liu, S. et al. 2007. Segmenting periodic reliefs on triangle meshes. Presented at: 12th IMA International Conference Sheffield, UK 4-6 September 2007. Mathematics of surfaces XII : 12th IMA international conference, Sheffield, UK, September 4-6, 2007 : proceedings. Lecture notes in computer science Vol. 4647. Berlin, Germany: Springer. , pp.290-306. (10.1007/978-3-540-73843-5_18)
• Mann, D. G. et al., 2007. New methods for preparing, imaging and typifying desmids (Chlorophyta, Zygnematophyceae), including extended depth of focus and 3-D reconstruction. Phycologia 46 (1), pp.29-45. (10.2216/04-60.1)
• Rosin, P. L. 2007. Evaluating Harker and O'Leary's distance approximation for ellipse fitting. Pattern recognition letters 28 (13), pp.1804-1807. (10.1016/j.patrec.2007.05.012)
• Rosin, P. L. 2007. Measuring the orientability of shapes. Presented at: CAIP 2007: 12th International Conference on Computer Analysis of Images and Patterns Vienna, Austria 27-29 August 2007. Computer analysis of images and patterns. Lecture notes in computer science Vol. 4673. Berlin / Heidelberg: Springer. , pp.620-627. (10.1007/978-3-540-74272-2_77)
• Rosin, P. L. and Zunic, J. 2007. Probabilistic convexity measure. IET image processing 1 (2), pp.182-188. (10.1049/iet-ipr:20060185)
• Samko, O. , Rosin, P. L. and Marshall, A. D. 2007. Robust automatic data decomposition using a modified sparse NMF. Presented at: MIRAGE 2007 Rocquencourt, France 28-30 March 2007. Computer Vision/Computer Graphics Collaboration Techniques. Lecture Notes in Computer Science Vol. 4418/2. Berlin / Heidelberg: Springer. , pp.225-234. (10.1007/978-3-540-71457-6_21)
• Sidorov, K. A. et al. 2007. Towards efficient 3D facial appearance models. Presented at: The ACM SIGGRAPH / Eurographics Symposium on Computer Animation San Diego, CA, USA 3-4 August 2007. Published in: Gleicher, M. and Thalmann, D. eds. Computer Animation 2007 : ACM SIGGRAPH/Eurographics Symposium on Computer Animation : San Diego, California, August 3-4, 2007. New York, N.Y.: Eurographics Association. , pp.1-2.
• Sun, X. et al. 2007. Fast and Effective Feature-Preserving Mesh Denoising. IEEE Transactions on Visualization and Computer Graphics 13 (5), pp.925-938. (10.1109/TVCG.2007.1065)
• Sun, X. et al. 2007. Random walks for mesh denoising. Presented at: SPM 2007: ACM Symposium on Solid and Physical Modeling Beijing, China 4-6 June 2007. Proceedings, SPM 2007 : ACM Symposium on Solid and Physical Modeling : Beijing, China, June 04-06, 2007. New York, USA: Association for Computing Machinery. , pp.11-22. (10.1145/1236246.1236252)
• Zunic, J. and Rosin, P. L. 2007. A definition for orientation for multiple component shapes. Presented at: CAIP 2007: 12th International Conference on Computer Analysis of Images and Patterns Vienna, Austria 27-29 August 2007. Computer analysis of images and patterns. Lecture Notes in Computer Science Vol. 4673. Berlin / Heidelberg: Springer. , pp.677-685. (10.1007/978-3-540-74272-2_84)
• Zunic, J. and Rosin, P. L. 2007. Convexity measure for shapes with partially extracted boundaries. Electronics letters 43 (7), pp.380-382. (10.1049/el:20070280)

2006

• Cosker, D. P. et al. 2006. Discovering Realistic Facial Dynamics for Animation. Presented at: The 3rd European Conference on Visual Media Production (CVMP 2006) London, UK 29–30 November 2006. Published in: Grau, O. ed. Proceedings: The 3rd European Conference on Visual Media Production (CVMP 2006): part of the 2nd Multimedia Conference 2006. London: Institution of Electrical Engineers. , pp.173.
• Duvernoy, S. and Rosin, P. L. 2006. The Compass, the Ruler and the Computer. Presented at: Nexus 2006 Genoa, Italy 7-9 June 2006. Published in: Duvernoy, S. and Pedemonte, O. eds. Nexus VI: Architecture and Mathematics. Turin, Italy: Kim Williams Books. , pp.21-34.
• Hicks, Y. A. et al. 2006. A model of diatom shape and texture for analysis, synthesis and identification. Machine Vision and Applications 17 (5), pp.297-307. (10.1007/s00138-006-0035-1)
• Krumhuber, E. et al. 2006. Smile authenticity and trustworthiness in a one-shot trust game. Presented at: Second European Conference on Emotion Louvain-La-Neuve, Belgium 18-20 May 2006.
• Liu, S. et al. 2006. Segmenting reliefs on triangle meshes. 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.7-16. (10.1145/1128888.1128890)
• Mann, D. G. et al., 2006. Alleviating the Taxonomic Impediment in Diatoms: Prospects for Automatic and Web-based Identification Systems. Presented at: 18th International Diatom Symposium Międzyzdroje, Poland 2-7 September 2004. Published in: Withowski, A. ed. Proceedings of the Eighteenth International Diatom Symposium. Bristol: Biopress. , pp.265-285.
• Marshall, A. D. et al. 2006. Speech and expression driven animation of a video-realistic appearance based hierarchical facial model. Presented at: IEEE CVPR Workshop on Learning, Representation and Context for Human Sensing in Video New York, NY, USA 22 June 2006.
• Rosin, P. L. 2006. Training cellular automata for image processing. IEEE Transactions on Image Processing 15 (7), pp.2076-2087. (10.1109/TIP.2006.877040)
• Rosin, P. L. and Mumford, C. L. 2006. A symmetric convexity measure. Computer Vision and Image Understanding 103 (2), pp.101-111. (10.1016/j.cviu.2006.04.002)
• Samko, O. , Marshall, A. D. and Rosin, P. L. 2006. Selection of the optimal parameter value for the Isomap algorithm. Pattern Recognition Letters 27 (9), pp.968-979. (10.1016/j.patrec.2005.11.017)
• Tuset, V. M. , Rosin, P. L. and Lombarte, A. 2006. Sagittal otolith shape used in the identification of fishes of the genus Serranus. Fisheries Research 81 (2-3), pp.316-325. (10.1016/j.fishres.2006.06.020)
• Zunic, J. , Rosin, P. L. and Kopanja, L. 2006. On the orientability of shapes. IEEE Transactions on Image Processing 15 (11), pp.3478-3487. (10.1109/TIP.2006.877527)
• Zunic, J. , Rosin, P. L. and Kopanja, L. 2006. Shape Orientability. Lecture Notes in Computer Science 3852 , pp.11-20. (10.1007/11612704_2)

2005

• Cosker, D. P. et al. 2005. Toward Perceptually Realistic Talking Heads: Models, Methods, and McGurk. ACM Transactions on Applied Perception 2 (3), pp.270-285. (10.1145/1077399.1077405)
• Krumhuber, E. et al. 2005. Synthetic humans for the study of subtle temporal aspects in facial displays. Presented at: XIIIth Conference of the International Society for Research on Emotions Bari, Italy 11-15 July 2005.
• Krumhuber, E. et al. 2005. Temporal dynamics of smiling: Human versus synthetic faces. Presented at: XIIIth Conference of the International Society for Research on Emotions Bari, Italy 11-15 July 2005.
• Rosin, P. L. and Hervás, J. 2005. Remote sensing image thresholding methods for determining landslide activity. International Journal of Remote Sensing 26 (6), pp.1075-1092. (10.1080/01431160512331330481)
• Rosin, P. L. 2005. Computing global shape measures. In: Chen, C. H. ed. Handbook of Pattern Recognition and Computer Vision. World Scientific Publishing. , pp.177-196. (10.1142/9789812775320_0010)
• Rosin, P. L. and Zunic, J. 2005. Measuring rectilinearity. Computer Vision and Image Understanding 99 (2), pp.175-188. (10.1016/j.cviu.2005.01.003)

2004

• Cosker, D. P. et al. 2004. Speech driven facial animation using a hidden Markov coarticulation model. Presented at: 17th International Conference on Pattern Recognition Cambridge, UK 23-26 August.
• Cosker, D. P. et al. 2004. Speech-driven facial animation using a hierarchical model. IEE Proceedings - Vision Image and Signal Processing 151 (4), pp.314-321. (10.1049/ip-vis:20040752)
• Hicks, Y. A. et al. 2004. Building shape and texture models of diatoms for analysis and synthesis of drawings and identification. Presented at: Irish Machine Vision and Image Processing Conference Dublin 1-3 Sept 2004.
• Mann, D. G. et al., 2004. Heroic failure or new dawn? Image-based identification of microalgae. The Phycologist 66 , pp.24-25.
• Martin, R. R. and Rosin, P. L. 2004. Turning shape decision problems into measures. International Journal of Shape Modeling 10 (01), pp.83. (10.1142/S0218654304000614)
• Rosin, P. L. 2004. Measuring sigmoidality. Pattern Recognition 37 (8), pp.1735-1744. (10.1016/j.patcog.2004.02.011)
• Rosin, P. L. 2004. On the construction of ovals. Presented at: Fifth Interdisciplinary Conference of The International Society of The Arts, Mathematics, and Architecture Chicago, IL, USA 15-19 June 2004.
• Rosin, P. l. and Mumford, C. L. 2004. A symmetric convexity measure. Presented at: 17th International Conference on Pattern Recognition (ICPR 2004) Cambridge, UK 23-26 August 2004. Published in: Kittler, J. , Petrou, M. and Nixon, M. eds. Proceedings of the 17th International Conference on Pattern Recognition. Vol. 4.Piscataway, NJ: IEEE. , pp.11-14. (10.1109/ICPR.2004.1333693)
• Rosin, P. L. and Rana, O. F. 2004. Agent-based computer vision [Editorial]. Pattern Recognition 37 (4), pp.627-629. (10.1016/j.patcog.2003.09.013)
• Stewart, S. A. et al., 2004. Multiscale structure in sedimentary basins. Basin Research 16 (2), pp.183-197. (10.1111/j.1365-2117.2004.00228.x)
• Zunic, J. and Rosin, P. L. 2004. A New Convexity Measure for Polygons. IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (7), pp.923-934. (10.1109/TPAMI.2004.19)

2003

• Cosker, D. P. et al. 2003. Speaker-independent speech-driven facial animation using a hierarchical model. Presented at: International Conference on Visual Information Engineering 2003 University of Surrey, UK 7-9 July 2003.
• Cosker, D. P. et al. 2003. Video realistic talking heads using hierarchical non-linear speech-appearance models. Presented at: Mirage 2003 Rocquencourt, France 10-11 March 2003.
• Zunic, J. and Rosin, P. L. 2003. Rectilinearity measurements for polygons. IEEE transactions on pattern analysis and machine intelligence 25 (9), pp.1193-1200. (10.1109/TPAMI.2003.1227997)

2002

• Hicks, Y. A. et al. 2002. Automatic landmarking for building biological shape models. Presented at: 2002 International Conference on Image Processing Rochester, New York 22-25 Sept 2002.
• Hicks, Y. A. et al. 2002. Modelling life cycle related and individual shape variation in biological specimens. Presented at: 13th British Machine Vision Conference Cardiff, Wales 2-5 Sept 2002.
• Rosin, P. L. , Marshall, A. D. and Morgan, J. E. 2002. Multimodal retinal imaging: new strategies for the detection of glaucoma. Presented at: 2002 International Conference on Image Processing Rochester, NY, USA 22-25 September 2002. Proceedings of the 2002 International Conference on Image Processing. Vol. 3.IEEE. , pp.III-137. (10.1109/ICIP.2002.1038923)

2001

• Eakins, J. P. et al., 2001. Comparison of the effectiveness of alternative feature sets in shape retrieval of multicomponent images. Presented at: Storage and Retrieval for Media Databases 2001 San Jose, CA, USA 24-26 January 2001. Published in: Yeung, M. M. , Li, C. and Lienhart, R. W. eds. Storage and Retrieval for Media Databases 2001. Proceedings of SPIE Vol. 4315. The International Society for Optical Engineering. , pp.196. (10.1117/12.410929)
• Gagaudakis, G. and Rosin, P. L. 2001. Shape measures for image retrieval. Presented at: 2001 International Conference on Image Processing Thessaloniki, Greece 7-10 October 2001. Proceedings of the 2001 International Conference on Image Processing. Vol. 2.IEEE. , pp.757-760. (10.1109/ICIP.2001.958604)
• Nyongesa, H. O. , Otieno, A. W. and Rosin, P. L. 2001. Neural fuzzy analysis of delaminated composites from shearography imaging. Composite Structures 54 (2-3), pp.313-318. (10.1016/S0263-8223(01)00103-9)
• Rosin, P. L. 2001. Robust pixel unmixing. IEEE Transactions on Geoscience and Remote Sensing 39 (9), pp.1978-1983. (10.1109/36.951088)
• Rosin, P. L. 2001. Straightening and Partitioning Shapes. Lecture Notes in Computer Science 2059 , pp.440-450. (10.1007/3-540-45129-3_40)
• Rosin, P. L. 2001. Unimodal Thresholding. Pattern Recognition 34 (11), pp.2083-2096. (10.1016/S0031-3203(00)00136-9)