![Jing Wu](https://profiles-cardiff.imgix.net/attachments/1633?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Jing Wu
Lecturer
School of Computer Science and Informatics
- WuJ11@cardiff.ac.uk
- +44 29206 88810
- Abacws, Room Room 2.08, Senghennydd Road, Cathays, Cardiff, CF24 4AG
- Available for postgraduate supervision
Overview
I am a lecturer in the School of Computer Science and Informatics at Cardiff University, and a member of the Visual Computing research section. My research interests lie in the area of 3D reconstruction, visual understanding, and visual analytics. I am currently working on semantic segmentation, visual SLAM, and researching into visual analysis tools for explainable machine learning in computer vision.
Before becoming a lecturer, I was a postdoc in the school and worked on two projects: bas-relief generation (RIVIC), and realistic shape from shading (EPSRC). I received PhD from the University of York, United Kingdom, with thesis on statistical approaches to gender classification in the surface normal domain. I received MSc and BSc in Computer Science from Nanjing University, China.
Publication
2024
- 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)
- 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.
- 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.
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)
- 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.
- 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)
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)
- 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)
- 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., 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
- 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)
- 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
- 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.
- 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.
- 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)
- 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.
- 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)
- 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)
- 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)
- 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)
- 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)
Research
Research projects I am working / have worked on:
- Reflection Aware Visual Simultaneous Localization and Mapping (RA-vSLAM), Main Supervisor, EPSRC DTP. Oct 2020 - Mar 2024
- Study of style transfer based and 3D assisted caricature generation techniques, PI, Travel fund to visit Nanjing University. June 2020 - June 2022.
- Learning-based and 3D assisted caricaturization of multi-modal portraits, PI, Travel fund to visit Nanjing University. Apr 2018 - Apr 2020.
- Pushing the boundary of vision-based 3D surface imaging, CoI, Renishaw and Cardiff University Strategic Fund. Apr 2018 - Mar 2019.
- Realistic SFS with user interaction, which developed an interactive framework to tackle intrinsic problems of SFS, and combined heuristic search to improve the intuitiveness of user interaction. Research Associate, EPSRC. July 2013 - July 2016.
- Generating bas-reliefs from face photographs, which developed a framework combining techniques of machine learning, SFS, photometric stereo, and non-photorealistic rendering to tackle the problem of bas-relief generation from a single input face image. It is part of a RIVIC (The Welsh Research Institute of Visual Computing) scientific programme - Vision-based Geometric Modelling. Research Associate. Sep 2009 - June 2013.
- SFS in facial gender classification, which proposed a shape-from-shading (SFS) based representation that can implicitly encode both the 2D texture and the 3D shape information to improve facial gender classification using either information alone. PhD. Oct 2005 - Sep 2009.
Teaching
2022/23-2023/24:
- CM1103 Problem Solving with Python
- CMT107 Visual Computing
2016/17-2021/22:
- CM1101 Computational Thinking
- CM1103 Problem Solving with Python
2015/16:
- CM1103 Problem Solving with Python
- CMT202 Distributed and Cloud Computing
Biography
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: Postdoctoral Research Associate, School of Computer Science and Informatics, Cardiff University
Honours and awards
- Outstanding Contribution Award, Cardiff University, 2023
- TAROS Best Paper Award, 2018
- BMVC Best Security Paper Prize, 2007
-
Overseas Research Students Awards Scheme (ORSAS), UK, 2005 - 2008
Professional memberships
- Member of ACM, IEEE
- HEA Fellowship
Committees and reviewing
- I am on the editorial board of Displays. 2020 Onwards
- Guest editor of special issues:
- in IET Image Processing: Image Processing in the Metaverse. (submission deadline: 31 March 2023)
- in IET Computer Vision: Multiview Representation Learning for Computer Vision. (submission deadline: 15 Sep 2022)
- in CMES: enabled and human-centric Computational Intelligence Solutions for Visual Understanding and Application. 2022
- Programme committee: CGVC (2018/2019/2020/2021/2022/2023), BMVC (2019/2020/2021), WACV (2021)
- Journal and Conference reviewer: CVPR, ICCV, TVCG, Pattern Recognition, Pattern Recognition Letters, Neurocomputing, The Visual Computer, etc.
Supervisions
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
Current supervision
Njuod Alsudays
Research student
Peter Herbert
Research student
Jingwen Sun
Research student
Mingchen Xu
Research student
Past projects
- Asmail Alajeli Saleh Muftah, thesis "Computer-Aided Diagnosis of Prostate Cancer via Machine Learning using Multiparametric MRI", Oct 2018 - Sep 2023, successfully defended with minor corrections. (Co-supervisor)
- Xintong Yang, thesis "Robotic Object Manipulation via Hierarchical and Affordance Learning", Oct 2019 - Sep 2023, PhD Awarded. (Co-supervisor)
- Stefano Zappala, thesis "In-vivo Digital Volume Correlation via Magnetic Resonance Imaging: Application to Positional Brain Shift and Deep Tissue Injury", Oct 2016 - Sep 2022, PhD Awarded (without minor corrections). (Co-supervisor)
Research themes
Specialisms
- Computer vision
- Visual Analytics
- Artificial intelligence