Trosolwyg
My research is in the area of 3D reconstruction in computer vision, with current particular interests in non-rigid 3D reconstruction and motion estimation from image sequences.
More information can be found on my personal webpage.
Cyhoeddiad
2025
- Wu, J., Lai, Y., Xu, M., Herbert, P. and Ji, Z. 2025. RGB-D video mirror detection. Presented at: WACV 2025, Tucson, Arizona, 28 February - 04 March 2025.
2024
- Gao, Y., Lin, F., Cai, B., Wu, J., Wei, C., Grech, R. and Ji, Z. 2024. Mapless navigation via Hierarchical Reinforcement Learning with memory-decaying novelty. Robotics and Autonomous Systems 182, article number: 104815. (10.1016/j.robot.2024.104815)
- Li, Z. et al. 2024. RuleExplorer: A scalable matrix visualization for understanding tree ensemble classifiers. IEEE Transactions on Visualization and Computer Graphics (10.1109/TVCG.2024.3514115)
- Gao, Y., Wu, J., Yang, X. and Ji, Z. 2024. Efficient hierarchical reinforcement learning for mapless navigation with predictive neighbouring space scoring. IEEE Transactions on Automation Science and Engineering 21(4), pp. 5457-5472. (10.1109/TASE.2023.3312237)
- Njuod, A., Wu, J., Lai, Y. and Ji, Z. 2024. GRPSNET: Multi-class part parsing based on graph reasoning. Presented at: IEEE Conference on Multimedia Expo 2024, Niagara Falls, Canada, 15-19 July 2024IEEE International Conference on Multimedia and Expo (ICME). IEEE pp. 1-10., (10.1109/ICME57554.2024.10687831)
- Wu, J., Lai, Y., Xu, M. and Ji, Z. 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 20242024 IEEE International Conference on Multimedia and Expo (ICME). IEEE pp. 1-9., (10.1109/icme57554.2024.10688367)
- Huo, J., Kong, M., Li, W., Wu, J., Lai, Y. and Gao, Y. 2024. Towards efficient image and video style transfer via distillation and learnable feature transformation. Computer Vision and Image Understanding 241, article number: 103947. (10.1016/j.cviu.2024.103947)
- Yang, X., Wu, J., Lai, Y. and Ji, Z. 2024. GAM: General Affordance-based Manipulation for contact-rich object disentangling tasks. Neurocomputing 578, article number: 127386. (10.1016/j.neucom.2024.127386)
- Yang, W., Guo, Y., Wu, J., Wang, Z., Guo, L., Li, Y. and Liu, S. 2024. Interactive reweighting for mitigating label quality issues. IEEE Transactions on Visualization and Computer Graphics 30(3), pp. 1837-1852. (10.1109/TVCG.2023.3345340)
- Sun, J., Wu, J., Ji, Z. and Lai, Y. 2024. A survey of object goal navigation. IEEE Transactions on Automation Science and Engineering (10.1109/TASE.2024.3378010)
- Zappalá, S., Keenan, B. E., Marshall, D., Wu, J., Evans, S. L. and Al-Dirini, R. M. 2024. In vivo strain measurements in the human buttock during sitting using MR-based digital volume correlation. Journal of Biomechanics 163, article number: 111913. (10.1016/j.jbiomech.2023.111913)
- Herbert, P., Wu, J., Ji, Z. and Lai, Y. 2024. Benchmarking visual SLAM methods in mirror environments. Computational Visual Media 10(2), pp. 215-241. (10.1007/s41095-022-0329-x)
- Liang, Y., Wu, J., Lai, Y. and Qin, Y. 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.
- Wang, T., Wu, J., Ji, Z. and Lai, Y. 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.
- Sun, J., Wu, J., Ji, Z. and Lai, Y. 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.
- Gao, Y., Huo, J., Li, W., Wu, J., Lai, Y. and Gao, Y. 2024. Object goal navigation based on path planning characteristics. CAAI Transactions on Intelligence Technology
2023
- Chen, C. et al. 2023. A unified interactive model evaluation for classification, object detection, and instance segmentation in computer vision. Presented at: IEEE VIS 2023, Melbourne, Australia, 22-27 October 2023. Institute of Electrical and Electronics Engineers, (10.1109/TVCG.2023.3326588)
- Yang, X., Ji, Z., Wu, J. and Lai, Y. 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., Liang, Y., Wu, J., Lai, Y. and Qin, Y. 2023. Feature proliferation — the "cancer" in StyleGAN and its treatments. Presented at: International Conference on Computer Vision (ICCV) 2023, Paris, France, October 1 - 6, 2023Proceedings of IEEE/CVF International Conference on Computer Vision. IEEE pp. 2360-2370., (10.1109/ICCV51070.2023.00224)
- Alsudays, N., Wu, J., Lai, Y. and Ji, Z. 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 20232023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE pp. 4022-4031., (10.1109/WACV56688.2023.00402)
- Xia, J. et al. 2023. Interactive visual cluster analysis by contrastive dimensionality reduction. IEEE Transactions on Visualization and Computer Graphics 29(1), pp. 734-744. (10.1109/TVCG.2022.3209423)
- Wang, T., Wu, J., Ji, Z. and Lai, Y. 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 2023Proceedings EG UK Computer Graphics & Visual Computing. Eurographics - The European Association for Computer Graphics, (10.2312/cgvc.20231188)
- Gao, Y., Ji, Z., Wu, J., Wei, C. and Grech, R. 2023. Hierarchical reinforcement learning-based mapless navigation with predictive exploration worthiness. Presented at: IEEE International Conference on Mechatronics and Automation, Harbin, Heilongjiang, China, 6-9 August 2023.
2022
- Li, Z. et al. 2022. A unified understanding of deep NLP models for text classification. IEEE Transactions on Visualization and Computer Graphics 28(12), pp. 4980-4994. (10.1109/TVCG.2022.3184186)
- Grange, J. A., Princis, H., Kozlowski, T. R. W., Amadou-Dioffo, A., Wu, J., Hicks, Y. A. and Johansen, M. K. 2022. XAI & I: Self-explanatory AI facilitating mutual understanding between AI and human experts. Presented at: 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022), 7-9 September 2022. Elsevier, (10.1016/j.procs.2022.09.419)
- Kong, M., Huo, J., Li, W., Wu, J., Lai, Y. and Gao, Y. 2022. Playing lottery tickets in style transfer models. Presented at: MM '22: The 30th ACM International Conference on Multimedia, 10-14 October 2022M4MM '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., Ji, Z., Wu, J. and Lai, Y. 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 20222022 27th International Conference on Automation and Computing (ICAC). IEEE, (10.1109/ICAC55051.2022.9911100)
- Yang, X., Ji, Z., Wu, J., Lai, Y., Wei, C., Liu, G. and Setchi, R. 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)
- Chen, C., Wu, J., Wang, X., Xiang, S., Zhang, S., Tang, Q. and Liu, S. 2022. Towards better caption supervision for object detection. IEEE Transactions on Visualization and Computer Graphics 28(4), pp. 1941-1954. (10.1109/TVCG.2021.3138933)
- Wang, Z., Xie, Q., Lai, Y., Wu, J., Long, K. and Wang, J. 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 20212021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE pp. 3081-3090., (10.1109/ICCV48922.2021.00309)
- Liang, Y., Wu, J., Lai, Y. and Qin, Y. 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.
2021
- Yang, X., Ji, Z., Wu, J. and Lai, Y. 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 Presented at Fox, C. et al. eds.Towards Autonomous Robotic Systems. TAROS 2021. Lecture Notes in Computer Science Springer pp. 14-24.
- Hou, H., Huo, J., Wu, J., Lai, Y. and Gao, Y. 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)
- Zappala, S. et al. 2021. Full-field MRI measurements of in-vivo positional brain shift reveal the significance of intra-cranial geometry and head orientation for stereotactic surgery. Scientific Reports 11(1), article number: 17684. (10.1038/s41598-021-97150-5)
- Chen, C., Wang, Z., Wu, J., Wang, X., Guo, L., Li, Y. and Liu, S. 2021. Interactive graph construction for graph-based semi-supervised learning. IEEE Transactions on Visualization and Computer Graphics 27(9), pp. 3701-3716. (10.1109/TVCG.2021.3084694)
- Xie, Q., Lai, Y., Wu, J., Wang, Z., Lu, D., Wei, M. and Wang, J. 2021. VENet: Voting Enhancement Network for 3D object detection. Presented at: CVF/IEEE International Conference on Computer Vision (ICCV 2021), Virtual, 11-17 October 2021.
- Huo, J., Jin, S., Li, W., Wu, J., Lai, Y., Shi, Y. and Gao, Y. 2021. Manifold alignment for semantically aligned style transfer. Presented at: CVF/IEEE International Conference on Computer Vision (ICCV 2021), Virtual, 11-17 October 2021.
- Cao, K., Liu, M., Su, H., Wu, J., Zhu, J. and Liu, S. 2021. Analyzing the noise robustness of deep neural networks. IEEE Transactions on Visualization and Computer Graphics 27(7), pp. 3289-3304. (10.1109/TVCG.2020.2969185)
- Xie, Q., Lai, Y., Wu, J., Wang, Z., Zhang, Y., Xu, K. and Wang, J. 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)
- Yang, L., Wu, J., Huo, J., Lai, Y. and Gao, Y. 2021. Learning 3D face reconstruction from a single sketch. Graphical Models 115, article number: 101102. (10.1016/j.gmod.2021.101102)
2020
- Xie, Q., Lai, Y., Wu, J., Wang, Z., Zhang, Y., Xu, K. and Wang, J. 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 20202020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE pp. 10444-10453., (10.1109/CVPR42600.2020.01046)
2019
- Pan, Y., Niu, Z., Wu, J. and Zhang, J. 2019. InSocialNet: Interactive visual analytics for role-event videos. Computational Visual Media 5(4), pp. 375-390. (10.1007/s41095-019-0157-9)
- Xiang, S., Ye, X., Xia, J., Wu, J., Chen, Y. and Liu, S. 2019. Interactive correction of mislabeled training data. Presented at: IEEE VIS 2019, Vancouver, BC, Canada, 20-25 October 20192019 IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE, (10.1109/VAST47406.2019.8986943)
- Wang, X., Wang, X., Wang, C., Bai, X., Wu, J. and Hancock, E. R. 2019. Discriminative features matter: Multi-layer bilinear pooling for camera localization. Presented at: BMVC 2019: 30th British Machine Vision Conference, Cardiff, UK, 9-12 September, 2019.
- Zhang, Y., Wu, J., Ji, Z., Wei, M. and Zhang, C. 2019. Computer-assisted relief modelling: a comprehensive survey. Presented at: Eurographics Conference 2019 STARs, Genova, Italy, 6-10 May 2019.
2018
- Wu, J. and Ji, Z. 2018. Seeing the unseen: Locating objects from reflections. Presented at: 19th Towards Autonomous Robotic Systems (TAROS) Conference, Bristol, UK, 25- 27 July 2018.
- Liu, S., Xiao, J., Liu, J., Wang, X., Wu, J. and Zhu, J. 2018. Visual diagnosis of tree boosting methods. IEEE Transactions on Visualization and Computer Graphics 24(1), pp. 163-173. (10.1109/TVCG.2017.2744378)
2016
- Wu, J., Rosin, P. L., Sun, X. and Martin, R. R. 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)
2014
- Wu, J., Martin, R. R., Rosin, P. L., Sun, X., Lai, Y., Liu, Y. -. H. and Wallraven, C. 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)
2013
- 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)
2012
- Zhang, L., Hancock, E. R. and Wu, J. 2012. Estimating surface characteristics and extracting features from polarisation. Presented at: Joint IAPR International Workshop, SSPR&SPR 2012, Hiroshima, Japan, November 7-9, 2012 Presented at Gimel'farb, G. et al. eds.Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR & SPR 2012, Hiroshima, Japan, November 7-9, 2012, Proceedings.. Lecture Notes in Computer Science Vol. 7626. Springer Berlin Heidelberg: Springer pp. 400-408., (10.1007/978-3-642-34166-3_44)
2011
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2011. Gender discriminating models from facial surface normals. Pattern Recognition 44(12), pp. 2871-2886. (10.1016/j.patcog.2011.04.013)
- Kawulok, M., Wu, J. and Hancock, E. R. 2011. Supervised relevance maps for increasing the distinctiveness of facial images. Pattern Recognition 44(4), pp. 929-939. (10.1016/j.patcog.2010.10.010)
- Zhang, Z., Hancock, E. R. and Wu, J. 2011. An information theoretic approach to gender feature selection. Presented at: 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), Barcelona, Spain, 6-13 Nov 20112011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). Piscataway, N.J.: IEEE pp. 1425-1431., (10.1109/ICCVW.2011.6130418)
2010
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2010. Facial gender classification using shape-from-shading. Image and Vision Computing 28(6), pp. 1039-1048. (10.1016/j.imavis.2009.09.003)
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2010. Semi-supervised feature selection for gender classification. Presented at: 9th Asian Conference on Computer Vision, Xi’an, China, 23-27 September 2009 Presented at Zha, H., Taniguchi, R. and Maybank, S. eds.Computer Vision – ACCV 2009: 9th Asian Conference on Computer Vision, Xi’an, September 23-27, 2009, Revised Selected Papers, Part II, Vol. II. Lecture Notes in Computer Science Vol. 5995. Berlin Heidelberg: Springer pp. 23-33., (10.1007/978-3-642-12304-7_3)
2009
- Wu, J., Smith, W. A. P., Hancock, E. R. and Kawulok, M. 2009. Extracting gender discriminating features from facial needle-maps. Presented at: 2009 IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 7-10 Nov 20092009 IEEE International Conference on Image Processing: Proceedings. Piscataway, NJ: IEEE pp. 2449-2452., (10.1109/ICIP.2009.5414129)
2008
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2008. Supervised principal geodesic analysis on facial surface normals for gender classification. Presented at: Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, 4-6 December 2008 Presented at da Vitoria Lobo, N. et al. eds.Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings. Lecture Notes in Computer Science Vol. 5342. Berlin Heidelberg: Springer pp. 664-673., (10.1007/978-3-540-89689-0_70)
- Wu, J., Smith, W. A. P. and Hancock, E. 2008. Gender classification based on facial surface normals. Presented at: 19th International Conference on Pattern Recognition (ICPR 2008), Tampa, Florida, 8-11 December 200819th International Conference on Pattern Recognition (ICPR 2008). Piscataway, NJ: IEEE pp. 1-4., (10.1109/ICPR.2008.4761056)
- Wu, J., Smith, W. and Hancock, E. 2008. Gender classification based on facial surface normals. Presented at: International Conference on Pattern Recognition, Tampa, FL., 8-11 Dec 200819th International Conference on Pattern Recognition : (ICPR 2008) ; Tampa, Florida, USA 8-11 December 2008.. Piscataway, N.J.: IEEE pp. 1-4., (10.1109/ICPR.2008.4761056)
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2008. Facial gender classification using shape from shading and weighted principal geodesic analysis. Presented at: 5th International Conference, ICIAR 2008, Póvoa de Varzim, Portugal, 25-27 June 2008 Presented at Campilho, A. and Kamel, M. eds.Image Analysis and Recognition: 5th International Conference, ICIAR 2008, Póvoa de Varzim, Portugal, June 25-27, 2008. Proceedings.. Lecture Notes in Computer Science Vol. 5112. Berlin Heidelberg: Springer pp. 925-934., (10.1007/978-3-540-69812-8_92)
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2008. Weighted principal geodesic analysis for facial gender classification. Presented at: 12th Iberoamericann Congress on Pattern Recognition, CIARP 2007, Valparaiso, Chile, 13-16 November 2007 Presented at Rueda, L., Mery, D. and Kittler, J. eds.Progress in Pattern Recognition, Image Analysis and Applications: 12th Iberoamericann Congress on Pattern Recognition, CIARP 2007, Valparaiso, Chile, November 13-16, 2007. Proceedings.. Lecture Notes in Computer Science Vol. 4756. Berlin Heidelberg: Springer pp. 331-339., (10.1007/978-3-540-76725-1_35)
2007
- Wu, J., Smith, W. A. and Hancock, E. R. 2007. Gender classification using shape from shading. Presented at: BMVC 2007, Warwick, UK, 10-13 September 2007 Presented at Rajpoot, N. M. and Bhalerao, M. L. eds.Proceedings of the British Machine Conference. BMVA Press pp. 50.1-50.10., (10.5244/C.21.50)
- Dickens, M. P., Smith, W. A. P., Wu, J. and Hancock, E. R. . 2007. Face recognition using principal geodesic analysis and manifold learning. Presented at: Third Iberian Conference, IbPRIA 2007, Girona, Spain, 6-8 June 2007 Presented at Martí, J. ed.Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part I, Vol. 4477. Lecture Notes in Computer Science Vol. 4477. Berlin Heidelberg: Springer pp. 426-434., (10.1007/978-3-540-72847-4_55)
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2007. Learning mixture models for gender classification based on facial surface normals. Presented at: Third Iberian Conference, IbPRIA 2007, Girona, Spain, 6-8 June 2007 Presented at Marti, J. et al. eds.Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part I, Vol. 4477. Lecture Notes in Computer Science Vol. 4477. Springer Berlin Heidelberg pp. 39-46., (10.1007/978-3-540-72847-4_7)
2006
- Wu, J., Smith, W. A. P. and Hancock, E. 2006. Gender classification using principal geodesic analysis and gaussian mixture models. Lecture Notes in Computer Science 4225, pp. 58-67. (10.1007/11892755_6)
Articles
- Gao, Y., Lin, F., Cai, B., Wu, J., Wei, C., Grech, R. and Ji, Z. 2024. Mapless navigation via Hierarchical Reinforcement Learning with memory-decaying novelty. Robotics and Autonomous Systems 182, article number: 104815. (10.1016/j.robot.2024.104815)
- Li, Z. et al. 2024. RuleExplorer: A scalable matrix visualization for understanding tree ensemble classifiers. IEEE Transactions on Visualization and Computer Graphics (10.1109/TVCG.2024.3514115)
- Gao, Y., Wu, J., Yang, X. and Ji, Z. 2024. Efficient hierarchical reinforcement learning for mapless navigation with predictive neighbouring space scoring. IEEE Transactions on Automation Science and Engineering 21(4), pp. 5457-5472. (10.1109/TASE.2023.3312237)
- Huo, J., Kong, M., Li, W., Wu, J., Lai, Y. and Gao, Y. 2024. Towards efficient image and video style transfer via distillation and learnable feature transformation. Computer Vision and Image Understanding 241, article number: 103947. (10.1016/j.cviu.2024.103947)
- Yang, X., Wu, J., Lai, Y. and Ji, Z. 2024. GAM: General Affordance-based Manipulation for contact-rich object disentangling tasks. Neurocomputing 578, article number: 127386. (10.1016/j.neucom.2024.127386)
- Yang, W., Guo, Y., Wu, J., Wang, Z., Guo, L., Li, Y. and Liu, S. 2024. Interactive reweighting for mitigating label quality issues. IEEE Transactions on Visualization and Computer Graphics 30(3), pp. 1837-1852. (10.1109/TVCG.2023.3345340)
- Sun, J., Wu, J., Ji, Z. and Lai, Y. 2024. A survey of object goal navigation. IEEE Transactions on Automation Science and Engineering (10.1109/TASE.2024.3378010)
- Zappalá, S., Keenan, B. E., Marshall, D., Wu, J., Evans, S. L. and Al-Dirini, R. M. 2024. In vivo strain measurements in the human buttock during sitting using MR-based digital volume correlation. Journal of Biomechanics 163, article number: 111913. (10.1016/j.jbiomech.2023.111913)
- Herbert, P., Wu, J., Ji, Z. and Lai, Y. 2024. Benchmarking visual SLAM methods in mirror environments. Computational Visual Media 10(2), pp. 215-241. (10.1007/s41095-022-0329-x)
- Gao, Y., Huo, J., Li, W., Wu, J., Lai, Y. and Gao, Y. 2024. Object goal navigation based on path planning characteristics. CAAI Transactions on Intelligence Technology
- Yang, X., Ji, Z., Wu, J. and Lai, Y. 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)
- Xia, J. et al. 2023. Interactive visual cluster analysis by contrastive dimensionality reduction. IEEE Transactions on Visualization and Computer Graphics 29(1), pp. 734-744. (10.1109/TVCG.2022.3209423)
- Li, Z. et al. 2022. A unified understanding of deep NLP models for text classification. IEEE Transactions on Visualization and Computer Graphics 28(12), pp. 4980-4994. (10.1109/TVCG.2022.3184186)
- Yang, X., Ji, Z., Wu, J., Lai, Y., Wei, C., Liu, G. and Setchi, R. 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)
- Chen, C., Wu, J., Wang, X., Xiang, S., Zhang, S., Tang, Q. and Liu, S. 2022. Towards better caption supervision for object detection. IEEE Transactions on Visualization and Computer Graphics 28(4), pp. 1941-1954. (10.1109/TVCG.2021.3138933)
- Hou, H., Huo, J., Wu, J., Lai, Y. and Gao, Y. 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)
- Zappala, S. et al. 2021. Full-field MRI measurements of in-vivo positional brain shift reveal the significance of intra-cranial geometry and head orientation for stereotactic surgery. Scientific Reports 11(1), article number: 17684. (10.1038/s41598-021-97150-5)
- Chen, C., Wang, Z., Wu, J., Wang, X., Guo, L., Li, Y. and Liu, S. 2021. Interactive graph construction for graph-based semi-supervised learning. IEEE Transactions on Visualization and Computer Graphics 27(9), pp. 3701-3716. (10.1109/TVCG.2021.3084694)
- Cao, K., Liu, M., Su, H., Wu, J., Zhu, J. and Liu, S. 2021. Analyzing the noise robustness of deep neural networks. IEEE Transactions on Visualization and Computer Graphics 27(7), pp. 3289-3304. (10.1109/TVCG.2020.2969185)
- Xie, Q., Lai, Y., Wu, J., Wang, Z., Zhang, Y., Xu, K. and Wang, J. 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)
- Yang, L., Wu, J., Huo, J., Lai, Y. and Gao, Y. 2021. Learning 3D face reconstruction from a single sketch. Graphical Models 115, article number: 101102. (10.1016/j.gmod.2021.101102)
- Pan, Y., Niu, Z., Wu, J. and Zhang, J. 2019. InSocialNet: Interactive visual analytics for role-event videos. Computational Visual Media 5(4), pp. 375-390. (10.1007/s41095-019-0157-9)
- Liu, S., Xiao, J., Liu, J., Wang, X., Wu, J. and Zhu, J. 2018. Visual diagnosis of tree boosting methods. IEEE Transactions on Visualization and Computer Graphics 24(1), pp. 163-173. (10.1109/TVCG.2017.2744378)
- Wu, J., Rosin, P. L., Sun, X. and Martin, R. R. 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)
- Wu, J., Martin, R. R., Rosin, P. L., Sun, X., Lai, Y., Liu, Y. -. H. and Wallraven, C. 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)
- 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)
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2011. Gender discriminating models from facial surface normals. Pattern Recognition 44(12), pp. 2871-2886. (10.1016/j.patcog.2011.04.013)
- Kawulok, M., Wu, J. and Hancock, E. R. 2011. Supervised relevance maps for increasing the distinctiveness of facial images. Pattern Recognition 44(4), pp. 929-939. (10.1016/j.patcog.2010.10.010)
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2010. Facial gender classification using shape-from-shading. Image and Vision Computing 28(6), pp. 1039-1048. (10.1016/j.imavis.2009.09.003)
- Wu, J., Smith, W. A. P. and Hancock, E. 2006. Gender classification using principal geodesic analysis and gaussian mixture models. Lecture Notes in Computer Science 4225, pp. 58-67. (10.1007/11892755_6)
Conferences
- Wu, J., Lai, Y., Xu, M., Herbert, P. and Ji, Z. 2025. RGB-D video mirror detection. Presented at: WACV 2025, Tucson, Arizona, 28 February - 04 March 2025.
- Njuod, A., Wu, J., Lai, Y. and Ji, Z. 2024. GRPSNET: Multi-class part parsing based on graph reasoning. Presented at: IEEE Conference on Multimedia Expo 2024, Niagara Falls, Canada, 15-19 July 2024IEEE International Conference on Multimedia and Expo (ICME). IEEE pp. 1-10., (10.1109/ICME57554.2024.10687831)
- Wu, J., Lai, Y., Xu, M. and Ji, Z. 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 20242024 IEEE International Conference on Multimedia and Expo (ICME). IEEE pp. 1-9., (10.1109/icme57554.2024.10688367)
- Liang, Y., Wu, J., Lai, Y. and Qin, Y. 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.
- Wang, T., Wu, J., Ji, Z. and Lai, Y. 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.
- Sun, J., Wu, J., Ji, Z. and Lai, Y. 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.
- Chen, C. et al. 2023. A unified interactive model evaluation for classification, object detection, and instance segmentation in computer vision. Presented at: IEEE VIS 2023, Melbourne, Australia, 22-27 October 2023. Institute of Electrical and Electronics Engineers, (10.1109/TVCG.2023.3326588)
- Song, S., Liang, Y., Wu, J., Lai, Y. and Qin, Y. 2023. Feature proliferation — the "cancer" in StyleGAN and its treatments. Presented at: International Conference on Computer Vision (ICCV) 2023, Paris, France, October 1 - 6, 2023Proceedings of IEEE/CVF International Conference on Computer Vision. IEEE pp. 2360-2370., (10.1109/ICCV51070.2023.00224)
- Alsudays, N., Wu, J., Lai, Y. and Ji, Z. 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 20232023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE pp. 4022-4031., (10.1109/WACV56688.2023.00402)
- Wang, T., Wu, J., Ji, Z. and Lai, Y. 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 2023Proceedings EG UK Computer Graphics & Visual Computing. Eurographics - The European Association for Computer Graphics, (10.2312/cgvc.20231188)
- Gao, Y., Ji, Z., Wu, J., Wei, C. and Grech, R. 2023. Hierarchical reinforcement learning-based mapless navigation with predictive exploration worthiness. Presented at: IEEE International Conference on Mechatronics and Automation, Harbin, Heilongjiang, China, 6-9 August 2023.
- Grange, J. A., Princis, H., Kozlowski, T. R. W., Amadou-Dioffo, A., Wu, J., Hicks, Y. A. and Johansen, M. K. 2022. XAI & I: Self-explanatory AI facilitating mutual understanding between AI and human experts. Presented at: 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022), 7-9 September 2022. Elsevier, (10.1016/j.procs.2022.09.419)
- Kong, M., Huo, J., Li, W., Wu, J., Lai, Y. and Gao, Y. 2022. Playing lottery tickets in style transfer models. Presented at: MM '22: The 30th ACM International Conference on Multimedia, 10-14 October 2022M4MM '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., Ji, Z., Wu, J. and Lai, Y. 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 20222022 27th International Conference on Automation and Computing (ICAC). IEEE, (10.1109/ICAC55051.2022.9911100)
- Wang, Z., Xie, Q., Lai, Y., Wu, J., Long, K. and Wang, J. 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 20212021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE pp. 3081-3090., (10.1109/ICCV48922.2021.00309)
- Liang, Y., Wu, J., Lai, Y. and Qin, Y. 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.
- Yang, X., Ji, Z., Wu, J. and Lai, Y. 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 Presented at Fox, C. et al. eds.Towards Autonomous Robotic Systems. TAROS 2021. Lecture Notes in Computer Science Springer pp. 14-24.
- Xie, Q., Lai, Y., Wu, J., Wang, Z., Lu, D., Wei, M. and Wang, J. 2021. VENet: Voting Enhancement Network for 3D object detection. Presented at: CVF/IEEE International Conference on Computer Vision (ICCV 2021), Virtual, 11-17 October 2021.
- Huo, J., Jin, S., Li, W., Wu, J., Lai, Y., Shi, Y. and Gao, Y. 2021. Manifold alignment for semantically aligned style transfer. Presented at: CVF/IEEE International Conference on Computer Vision (ICCV 2021), Virtual, 11-17 October 2021.
- Xie, Q., Lai, Y., Wu, J., Wang, Z., Zhang, Y., Xu, K. and Wang, J. 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 20202020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE pp. 10444-10453., (10.1109/CVPR42600.2020.01046)
- Xiang, S., Ye, X., Xia, J., Wu, J., Chen, Y. and Liu, S. 2019. Interactive correction of mislabeled training data. Presented at: IEEE VIS 2019, Vancouver, BC, Canada, 20-25 October 20192019 IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE, (10.1109/VAST47406.2019.8986943)
- Wang, X., Wang, X., Wang, C., Bai, X., Wu, J. and Hancock, E. R. 2019. Discriminative features matter: Multi-layer bilinear pooling for camera localization. Presented at: BMVC 2019: 30th British Machine Vision Conference, Cardiff, UK, 9-12 September, 2019.
- Zhang, Y., Wu, J., Ji, Z., Wei, M. and Zhang, C. 2019. Computer-assisted relief modelling: a comprehensive survey. Presented at: Eurographics Conference 2019 STARs, Genova, Italy, 6-10 May 2019.
- Wu, J. and Ji, Z. 2018. Seeing the unseen: Locating objects from reflections. Presented at: 19th Towards Autonomous Robotic Systems (TAROS) Conference, Bristol, UK, 25- 27 July 2018.
- Zhang, L., Hancock, E. R. and Wu, J. 2012. Estimating surface characteristics and extracting features from polarisation. Presented at: Joint IAPR International Workshop, SSPR&SPR 2012, Hiroshima, Japan, November 7-9, 2012 Presented at Gimel'farb, G. et al. eds.Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR & SPR 2012, Hiroshima, Japan, November 7-9, 2012, Proceedings.. Lecture Notes in Computer Science Vol. 7626. Springer Berlin Heidelberg: Springer pp. 400-408., (10.1007/978-3-642-34166-3_44)
- Zhang, Z., Hancock, E. R. and Wu, J. 2011. An information theoretic approach to gender feature selection. Presented at: 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), Barcelona, Spain, 6-13 Nov 20112011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). Piscataway, N.J.: IEEE pp. 1425-1431., (10.1109/ICCVW.2011.6130418)
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2010. Semi-supervised feature selection for gender classification. Presented at: 9th Asian Conference on Computer Vision, Xi’an, China, 23-27 September 2009 Presented at Zha, H., Taniguchi, R. and Maybank, S. eds.Computer Vision – ACCV 2009: 9th Asian Conference on Computer Vision, Xi’an, September 23-27, 2009, Revised Selected Papers, Part II, Vol. II. Lecture Notes in Computer Science Vol. 5995. Berlin Heidelberg: Springer pp. 23-33., (10.1007/978-3-642-12304-7_3)
- Wu, J., Smith, W. A. P., Hancock, E. R. and Kawulok, M. 2009. Extracting gender discriminating features from facial needle-maps. Presented at: 2009 IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 7-10 Nov 20092009 IEEE International Conference on Image Processing: Proceedings. Piscataway, NJ: IEEE pp. 2449-2452., (10.1109/ICIP.2009.5414129)
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2008. Supervised principal geodesic analysis on facial surface normals for gender classification. Presented at: Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, 4-6 December 2008 Presented at da Vitoria Lobo, N. et al. eds.Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings. Lecture Notes in Computer Science Vol. 5342. Berlin Heidelberg: Springer pp. 664-673., (10.1007/978-3-540-89689-0_70)
- Wu, J., Smith, W. A. P. and Hancock, E. 2008. Gender classification based on facial surface normals. Presented at: 19th International Conference on Pattern Recognition (ICPR 2008), Tampa, Florida, 8-11 December 200819th International Conference on Pattern Recognition (ICPR 2008). Piscataway, NJ: IEEE pp. 1-4., (10.1109/ICPR.2008.4761056)
- Wu, J., Smith, W. and Hancock, E. 2008. Gender classification based on facial surface normals. Presented at: International Conference on Pattern Recognition, Tampa, FL., 8-11 Dec 200819th International Conference on Pattern Recognition : (ICPR 2008) ; Tampa, Florida, USA 8-11 December 2008.. Piscataway, N.J.: IEEE pp. 1-4., (10.1109/ICPR.2008.4761056)
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2008. Facial gender classification using shape from shading and weighted principal geodesic analysis. Presented at: 5th International Conference, ICIAR 2008, Póvoa de Varzim, Portugal, 25-27 June 2008 Presented at Campilho, A. and Kamel, M. eds.Image Analysis and Recognition: 5th International Conference, ICIAR 2008, Póvoa de Varzim, Portugal, June 25-27, 2008. Proceedings.. Lecture Notes in Computer Science Vol. 5112. Berlin Heidelberg: Springer pp. 925-934., (10.1007/978-3-540-69812-8_92)
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2008. Weighted principal geodesic analysis for facial gender classification. Presented at: 12th Iberoamericann Congress on Pattern Recognition, CIARP 2007, Valparaiso, Chile, 13-16 November 2007 Presented at Rueda, L., Mery, D. and Kittler, J. eds.Progress in Pattern Recognition, Image Analysis and Applications: 12th Iberoamericann Congress on Pattern Recognition, CIARP 2007, Valparaiso, Chile, November 13-16, 2007. Proceedings.. Lecture Notes in Computer Science Vol. 4756. Berlin Heidelberg: Springer pp. 331-339., (10.1007/978-3-540-76725-1_35)
- Wu, J., Smith, W. A. and Hancock, E. R. 2007. Gender classification using shape from shading. Presented at: BMVC 2007, Warwick, UK, 10-13 September 2007 Presented at Rajpoot, N. M. and Bhalerao, M. L. eds.Proceedings of the British Machine Conference. BMVA Press pp. 50.1-50.10., (10.5244/C.21.50)
- Dickens, M. P., Smith, W. A. P., Wu, J. and Hancock, E. R. . 2007. Face recognition using principal geodesic analysis and manifold learning. Presented at: Third Iberian Conference, IbPRIA 2007, Girona, Spain, 6-8 June 2007 Presented at Martí, J. ed.Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part I, Vol. 4477. Lecture Notes in Computer Science Vol. 4477. Berlin Heidelberg: Springer pp. 426-434., (10.1007/978-3-540-72847-4_55)
- Wu, J., Smith, W. A. P. and Hancock, E. R. 2007. Learning mixture models for gender classification based on facial surface normals. Presented at: Third Iberian Conference, IbPRIA 2007, Girona, Spain, 6-8 June 2007 Presented at Marti, J. et al. eds.Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part I, Vol. 4477. Lecture Notes in Computer Science Vol. 4477. Springer Berlin Heidelberg pp. 39-46., (10.1007/978-3-540-72847-4_7)
- Alsudays, N., Wu, J., Lai, Y. and Ji, Z. 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 20232023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE pp. 4022-4031., (10.1109/WACV56688.2023.00402)
- Liu, S., Xiao, J., Liu, J., Wang, X., Wu, J. and Zhu, J. 2018. Visual diagnosis of tree boosting methods. IEEE Transactions on Visualization and Computer Graphics 24(1), pp. 163-173. (10.1109/TVCG.2017.2744378)
- Wu, J., Rosin, P. L., Sun, X. and Martin, R. R. 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)
- Wu, J., Martin, R. R., Rosin, P. L., Sun, X., Lai, Y., Liu, Y. -. H. and Wallraven, C. 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)
- 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)
Ymchwil
Prosiectau ymchwil yr wyf yn gweithio arnynt / wedi gweithio ar:
- Reflection Aware Visual Simponaneous Lleoleiddio a Mapio ar y pryd (RA-vSLAM), Prif Oruchwyliwr, EPSRC DTP. Hydref 2020 - Maw 2024
- Astudiaeth o drosglwyddo arddull yn seiliedig a thechnegau cynhyrchu carthion â chymorth 3D, PI, Cronfa Deithio i ymweld â Phrifysgol Nanjing. Mehefin 2020 - Mehefin 2022.
- Caricaturization seiliedig ar ddysgu a chymorth 3D o bortreadau aml-foddol, PI, Cronfa Deithio i ymweld â Phrifysgol Nanjing. Ebrill 2018 - Ebrill 2020.
- Gwthio ffin delweddu wyneb 3D sy'n seiliedig ar weledigaeth, CoI, Renishaw a Chronfa Strategol Prifysgol Caerdydd. Ebrill 2018 - Mawrth 2019.
- SFS realistig gyda rhyngweithio defnyddiwr, a ddatblygodd fframwaith rhyngweithiol i fynd i'r afael â phroblemau cynhenid SFS, a chwilio heuristic cyfunol i wella greddf rhyngweithio defnyddwyr. Cydymaith Ymchwil, EPSRC. Gorffennaf 2013 - Gorffennaf 2016.
- Cynhyrchu rhyddhadau bas o ffotograffau wyneb, a ddatblygodd fframwaith sy'n cyfuno technegau dysgu peiriannau, SFS, stereo ffotometrig, a rendro nad yw'n ffotorealistaidd i fynd i'r afael â'r broblem o gynhyrchu rhyddhad bas o un ddelwedd wyneb mewnbwn. Mae'n rhan o raglen wyddonol RIVIC (Sefydliad Ymchwil Cymru Cyfrifiadura Gweledol) - Modelu Geometrig sy'n seiliedig ar Weledigaeth. Cydymaith Ymchwil. Medi 2009 - Mehefin 2013.
- SFS mewn dosbarthiad rhywedd wynebol, a gynigiodd gynrychiolaeth siâp o gysgodi (SFS) a all amgodio'r gwead 2D a'r wybodaeth siâp 3D yn ymhlyg i wella dosbarthiad rhywedd wyneb gan ddefnyddio'r naill wybodaeth neu'r llall yn unig. PhD. Hydref 2005 - Medi 2009.
Addysgu
2022/23-2023/24:
- CM1103 Datrys Problemau gyda Python
- CMT107 cyfrifiadura gweledol
2016/17-2021/22:
- Meddwl Cyfrifiannol CM1101
- CM1103 Datrys Problemau gyda Python
2015/16:
- CM1103 Datrys Problemau gyda Python
- CMT202 Dosbarthu a Chyfrifiadura Cloud
Bywgraffiad
Education and qualifications
- 2009: PhD (Computer Science), University of York, York, UK
- 2005: MSc (Computer Science and Technology), Nanjing University, Nanjing, China
- 2002: BSc (Computer Science and Technology), Nanjing University, Nanjing, China
Career overview
- 2016 - present: Lecturer, School of Computer Science and Informatics, Cardiff University
- 2009 - 2016: Research Associate, School of Computer Science and Informatics, Cardiff University
Anrhydeddau a dyfarniadau
- Gwobr Cyfraniad Eithriadol, Prifysgol Caerdydd, 2023
- Gwobr Papur Gorau TAROS, 2018
- Gwobr Papur Diogelwch Gorau BMVC, 2007
-
Cynllun Gwobrau Myfyrwyr Ymchwil Dramor (ORSAS), DU, 2005 - 2008
Aelodaethau proffesiynol
- Member of ACM
Pwyllgorau ac adolygu
- Rwy'n aelod o fwrdd golygyddol Displays. 2020 ymlaen
- Golygydd gwadd materion arbennig:
- Prosesu delweddau IET: prosesu delweddau yn y metaverse. (Dyddiad cau cyflwyno: 31 Mawrth 2023)
- yn IET Computer Vision: Multiview Representation Learning for Computer Vision. (Dyddiad cau cyflwyno: 15 Medi 2022)
- mewn CMES: datrysiadau deallusrwydd cyfrifiadurol wedi'u galluogi ac sy'n canolbwyntio ar bobl ar gyfer deall a chymhwyso gweledol. 2022
- Pwyllgor y rhaglen: CGVC (2018/2019/2020/2021/2022/2023), BMVC (2019/2020/2021), WACV (2021)
- Adolygydd cyfnodolion a chynhadledd: CVPR, ICCV, TVCG, ADNABOD PATRWM, LLYTHYRAU ADNABOD PATRWM, NIWROGYFRIFIADURA, Y CYFRIFIADUR GWELEDOL, AC ATI.
Meysydd goruchwyliaeth
I am interested in supervising PhD students in the areas of:
- Visual SLAM
- Semantic Segmentation
- Shape from Shading
- Visual Analytics
For funding opportunities, entry requirements, and online applications, please check:
Computer Science and Informatics - Study - Cardiff University
Goruchwyliaeth gyfredol
![Tony Wang Wang](https://cardiff.imgix.net/__data/assets/image/0014/10841/no-profile.jpg?w=40&h=40&auto=format&crop=faces&fit=crop&q=40)
Tony Wang Wang
Myfyriwr ymchwil
![Njuod Alsudays](https://cardiff.imgix.net/__data/assets/image/0014/10841/no-profile.jpg?w=40&h=40&auto=format&crop=faces&fit=crop&q=40)
Njuod Alsudays
Myfyriwr ymchwil
![Peter Herbert](https://cardiff.imgix.net/__data/assets/image/0014/10841/no-profile.jpg?w=40&h=40&auto=format&crop=faces&fit=crop&q=40)
Peter Herbert
Myfyriwr ymchwil
![Jingwen Sun](https://cardiff.imgix.net/__data/assets/image/0014/10841/no-profile.jpg?w=40&h=40&auto=format&crop=faces&fit=crop&q=40)
Jingwen Sun
Myfyriwr ymchwil
![Mingchen Xu](https://cardiff.imgix.net/__data/assets/image/0014/10841/no-profile.jpg?w=40&h=40&auto=format&crop=faces&fit=crop&q=40)
Mingchen Xu
Myfyriwr ymchwil
Prosiectau'r gorffennol
- Asmail Alajeli Saleh Muftah, traethawd ymchwil "Diagnosis â Chymorth Cyfrifiadur o Ganser y Prostad trwy Ddysgu Peiriant gan ddefnyddio MRI Amlbarametrig", Hydref 2018 - Medi 2023, wedi'i amddiffyn yn llwyddiannus gyda mân gywiriadau. (Cyd-oruchwyliwr)
- Xintong Yang, traethawd ymchwil "Trin Gwrthrychau Robotig trwy Hierarchaidd a Dysgu Fforddiadwy", Hydref 2019 - Medi 2023, PhD Dyfarnwyd. (Cyd-oruchwyliwr)
- Stefano Zappala, traethawd ymchwil "Cydberthynas Cyfrol Digidol In-vivo trwy Delweddu Cyseiniant Magnetig: Cais i Sifft Ymennydd Positional ac Anaf Meinwe Dwfn", Hydref 2016 - Medi 2022, PhD Dyfarnwyd (heb fân gywiriadau). (Cyd-oruchwyliwr)
Contact Details
WuJ11@caerdydd.ac.uk
+44 29206 88810
Abacws, Ystafell Room 2.08, Ffordd Senghennydd, Cathays, Caerdydd, CF24 4AG
+44 29206 88810
Abacws, Ystafell Room 2.08, Ffordd Senghennydd, Cathays, Caerdydd, CF24 4AG
Themâu ymchwil
Arbenigeddau
- Golwg cyfrifiadurol
- Visual Analytics
- Deallusrwydd artiffisial