Jing Wu

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 39

Top Venues

CoRR

IEEE Trans. Vis. Comput. Graph.

ICCV

Comput. Vis. Media

University of York, UK (PHD)

Education History

University of York, UK

PHD

Publications

Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yu-Feng Li, Shixia Liu
Interactive Reweighting for Mitigating Label Quality Issues. IEEE Trans. Vis. Comput. Graph. 30 (3) (2024)
Lianghan Zhu, Yanqi Bao, Jing Huo, Jing Wu, Yu-Kun Lai, Wenbin Li, Yang Gao
Zero-Shot Video Editing through Adaptive Sliding Score Distillation. CoRR (2024)
Jingwen Sun, Jing Wu, Ze Ji, Yu-Kun Lai
RSMPNet: Relationship Guided Semantic Map Prediction. WACV (2024)
Xintong Yang, Jing Wu, Yu-Kun Lai, Ze Ji
GAM: General affordance-based manipulation for contact-rich object disentangling tasks. Neurocomputing 578 (2024)
Jing Huo, Meihao Kong, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
Towards efficient image and video style transfer via distillation and learnable feature transformation. Comput. Vis. Image Underst. 241 (2024)
Changjian Chen, Yukai Guo, Fengyuan Tian, Shilong Liu, Weikai Yang, Zhaowei Wang, Jing Wu, Hang Su, Hanspeter Pfister, Shixia Liu
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Mingchen Xu, Jing Wu, Yu-Kun Lai, Ze Ji
Fusion of Short-term and Long-term Attention for Video Mirror Detection. CoRR (2024)
Peter Herbert, Jing Wu, Ze Ji, Yu-Kun Lai
Benchmarking visual SLAM methods in mirror environments. Comput. Vis. Media 10 (2) (2024)
Tao Wang, Jing Wu, Ze Ji, Yu-Kun Lai
Sparse Convolutional Networks for Surface Reconstruction from Noisy Point Clouds. WACV (2024)
Jiazhi Xia, Linquan Huang, Weixing Lin, Xin Zhao, Jing Wu, Yang Chen, Ying Zhao, Wei Chen
Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective. IEEE Trans. Cogn. Dev. Syst. 15 (3) (2023)
Changjian Chen, Jing Wu, Xiaohan Wang, Shouxing Xiang, Song-Hai Zhang, Qifeng Tang, Shixia Liu
Towards Better Caption Supervision for Object Detection. IEEE Trans. Vis. Comput. Graph. 28 (4) (2022)
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai, Changyun Wei, Guoliang Liu, Rossitza Setchi
Hierarchical Reinforcement Learning With Universal Policies for Multistep Robotic Manipulation. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Meihao Kong, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
Playing Lottery Tickets in Style Transfer Models. CoRR (2022)
Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling. CoRR (2022)
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning. ICAC (2022)
Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling. ICML (2022)
Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu
A Unified Understanding of Deep NLP Models for Text Classification. IEEE Trans. Vis. Comput. Graph. 28 (12) (2022)
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning. CoRR (2022)
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
An Open-Source Multi-goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet. TAROS (2021)
Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yu-Feng Li, Shixia Liu
Interactive Graph Construction for Graph-Based Semi-Supervised Learning. IEEE Trans. Vis. Comput. Graph. 27 (9) (2021)
Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu
Analyzing the Noise Robustness of Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 27 (7) (2021)
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet. CoRR (2021)
Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Dening Lu, Mingqiang Wei, Jun Wang
VENet: Voting Enhancement Network for 3D Object Detection. ICCV (2021)
Li Yang, Jing Wu, Jing Huo, Yu-Kun Lai, Yang Gao
Learning 3D face reconstruction from a single sketch. Graph. Model. 115 (2021)
Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao
Manifold Alignment for Semantically Aligned Style Transfer. ICCV (2021)
Zhoutao Wang, Qian Xie, Yu-Kun Lai, Jing Wu, Kun Long, Jun Wang
MLVSNet: Multi-level Voting Siamese Network for 3D Visual Tracking. ICCV (2021)
Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao
MW-GAN: Multi-Warping GAN for Caricature Generation With Multi-Style Geometric Exaggeration. IEEE Trans. Image Process. 30 (2021)
Kun Chen, Jingjing Wen, Jing Wu, Ze Ji
Automated Robot-based Large-Scale 3D Surface Imaging. KES (2020)
Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao
MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration. CoRR (2020)
Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao
Manifold Alignment for Semantically Aligned Style Transfer. CoRR (2020)
Junqi Wu, Zhibin Niu, Jing Wu, Xiufeng Liu, Jiawan Zhang
: Visual Exploration of Spatiotemporal Energy Demand. CoRR (2020)
Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu
Analyzing the Noise Robustness of Deep Neural Networks. CoRR (2020)
Yaohua Pan, Zhibin Niu, Jing Wu, Jiawan Zhang
InSocialNet: Interactive visual analytics for role - event videos. Comput. Vis. Media 5 (4) (2019)
Xin Wang, Xiang Wang, Chen Wang, Xiao Bai, Jing Wu, Edwin Robert Hancock
Discriminative Features Matter: Multi-layer Bilinear Pooling for Camera Localization. BMVC (2019)
Shouxing Xiang, Xi Ye, Jiazhi Xia, Jing Wu, Yang Chen, Shixia Liu
Interactive Correction of Mislabeled Training Data. VAST (2019)
Shixia Liu, Jiannan Xiao, Junlin Liu, Xiting Wang, Jing Wu, Jun Zhu
Visual Diagnosis of Tree Boosting Methods. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Jing Wu, Ze Ji
Seeing the Unseen: Locating Objects from Reflections. TAROS (2018)
Jing Wu, Paul L. Rosin, Xianfang Sun, Ralph R. Martin
Improving Shape from Shading with Interactive Tabu Search. J. Comput. Sci. Technol. 31 (3) (2016)
Jing Wu, Ralph R. Martin, Paul L. Rosin, Xianfang Sun, Yu-Kun Lai, Y.-H. Liu, Christian Wallraven
Use of non-photorealistic rendering and photometric stereo in making bas-reliefs from photographs. Graph. Model. 76 (4) (2014)
Jing Wu, Ralph R. Martin, Paul L. Rosin, Xianfang Sun, Frank C. Langbein, Yu-Kun Lai, A. David Marshall, Y.-H. Liu
Making bas-reliefs from photographs of human faces. Comput. Aided Des. 45 (3) (2013)
Lichi Zhang, Edwin R. Hancock, Jing Wu
Estimating Surface Characteristics and Extracting Features from Polarisation. SSPR/SPR (2012)
Zhihong Zhang, Edwin R. Hancock, Jing Wu
An information theoretic approach to gender feature selection. ICCV Workshops (2011)
Michal Kawulok, Jing Wu, Edwin R. Hancock
Supervised relevance maps for increasing the distinctiveness of facial images. Pattern Recognit. 44 (4) (2011)
Jing Wu, William A. P. Smith, Edwin R. Hancock
Gender discriminating models from facial surface normals. Pattern Recognit. 44 (12) (2011)
Jing Wu, William A. P. Smith, Edwin R. Hancock
Facial gender classification using shape-from-shading. Image Vis. Comput. 28 (6) (2010)
Jing Wu, William A. P. Smith, Edwin R. Hancock
Semi-supervised Feature Selection for Gender Classification. ACCV (2) (2009)
Jing Wu, William A. P. Smith, Edwin R. Hancock, Michal Kawulok
Extracting gender discriminating features from facial needle-maps. ICIP (2009)
Jing Wu, William A. P. Smith, Edwin R. Hancock
Facial Gender Classification Using Shape from Shading and Weighted Principal Geodesic Analysis. ICIAR (2008)
Jing Wu, William A. P. Smith, Edwin R. Hancock
Gender classification based on facial surface normals. ICPR (2008)
Jing Wu, William A. P. Smith, Edwin R. Hancock
Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification. SSPR/SPR (2008)
Jing Wu, William A. P. Smith, Edwin R. Hancock
Gender Classification using Shape from Shading. BMVC (2007)
Matthew P. Dickens, William A. P. Smith, Jing Wu, Edwin R. Hancock
Face Recognition Using Principal Geodesic Analysis and Manifold Learning. IbPRIA (1) (2007)
Jing Wu, William A. P. Smith, Edwin R. Hancock
Learning Mixture Models for Gender Classification Based on Facial Surface Normals. IbPRIA (1) (2007)
Jing Wu, William A. P. Smith, Edwin R. Hancock
Weighted Principal Geodesic Analysis for Facial Gender Classification. CIARP (2007)
Jing Wu, William A. P. Smith, Edwin R. Hancock
Gender Classification Using Principal Geodesic Analysis and Gaussian Mixture Models. CIARP (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jing Wu