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ORCIDJing Wu 0004
Person information
- affiliation: Cardiff University, School of Computer Science and Informatics, UK
- affiliation (PhD 2009): University of York, UK
Other persons with the same name
- Jing Wu — disambiguation page
- Jing Wu 0001 — Communications Research Centre Canada, Ottawa, ON, Canada
- Jing Wu 0002
![[0000-0003-1853-6025]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1853-6025")
— Southwestern University of Finance and Economics, School of Economic Information Engineering, Wenjiang, China (and 1 more) - Jing Wu 0003 — University of Chicago, Booth School of Business, IL, USA (and 1 more)
- Jing Wu 0005 — Central South University, School of Geosciences and Info-Physics, Changsha, China
- Jing Wu 0006 — Shanghai Jiao Tong University, Department of Automation, School of Electronic Information and Electrical Engineering, China (and 3 more)
- Jing Wu 0007 — University of Maryland, College Park, MD, USA
- Jing Wu 0008 — University of Western Brittany, Brest, France
- Jing Wu 0009 — Sun Yat-sen University, Guangzhou, China
- Jing Wu 0010 — Medical University of Vienna, Vienna, Austria
- Jing Wu 0011 — Inner Mongolia University, Hohhot, China
- Jing Wu 0012 — Shared Services Canada, Ottawa, Canada (and 1 more)
- Jing Wu 0013 — Nanyang Technological University, National Institute of Education, Singapore
- Jing Wu 0014 — Lanzhou Central Meteorological Observatory, Lanzhou, China
- Jing Wu 0015 — University of Washington, Seattle, WA, USA
- Jing Wu 0016 — Wuhan University, Hubei, China
- Jing Wu 0017 — Southeast University, Nanjing, China
- Jing Wu 0018 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China (and 2 more)
- Jing Wu 0019 — Wuhan University of Science and Technology, College of Computer Science and Technology, China
- Jing Wu 0020 — University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Jing Wu 0021 — Monash University, Department of Electrical and Computer Systems Engineering, Melbourne, Australia
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2020 – today
- 2025
[j27]Jingwen Sun, Jing Wu, Ze Ji, Yu-Kun Lai:
A Survey of Object Goal Navigation. IEEE Trans Autom. Sci. Eng. 22: 2292-2308 (2025)- [c31]Mingchen Xu, Peter Herbert, Yu-Kun Lai, Ze Ji, Jing Wu:
RGB-D Video Mirror Detection. WACV 2025: 9640-9649 - 2024
- [j26]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: 103947 (2024) - [j25]Peter Herbert, Jing Wu, Ze Ji, Yu-Kun Lai:
Benchmarking visual SLAM methods in mirror environments. Comput. Vis. Media 10(2): 215-241 (2024) - [j24]Xintong Yang, Jing Wu, Yu-Kun Lai, Ze Ji:
GAM: General affordance-based manipulation for contact-rich object disentangling tasks. Neurocomputing 578: 127386 (2024) - [j23]Yan Gao, Feiqiang Lin, Boliang Cai, Jing Wu, Changyun Wei, Raphael Grech, Ze Ji:
Mapless navigation via Hierarchical Reinforcement Learning with memory-decaying novelty. Robotics Auton. Syst. 182: 104815 (2024) - [j22]Yan Gao, Jing Wu, Xintong Yang, Ze Ji:
Efficient Hierarchical Reinforcement Learning for Mapless Navigation With Predictive Neighbouring Space Scoring. IEEE Trans Autom. Sci. Eng. 21(4): 5457-5472 (2024) - [j21]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): 76-86 (2024) - [j20]Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu:
Interactive Reweighting for Mitigating Label Quality Issues. IEEE Trans. Vis. Comput. Graph. 30(3): 1837-1852 (2024) - [c30]Njuod Alsudays, Jing Wu, Yu-Kun Lai, Ze Ji:
GRPSNET: Multi-Class Part Parsing Based on Graph Reasoning. ICME 2024: 1-10 - [c29]Mingchen Xu, Jing Wu, Yu-Kun Lai, Ze Ji:
Fusion of Short-term and Long-term Attention for Video Mirror Detection. ICME 2024: 1-9 - [c28]Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin:
Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling. ICML 2024 - [c27]Jingwen Sun, Jing Wu, Ze Ji, Yu-Kun Lai:
RSMPNet: Relationship Guided Semantic Map Prediction. WACV 2024: 302-311 - [c26]Tao Wang, Jing Wu, Ze Ji, Yu-Kun Lai:
Sparse Convolutional Networks for Surface Reconstruction from Noisy Point Clouds. WACV 2024: 3200-3209 - [i17]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 abs/2406.04888 (2024) - [i16]Mingchen Xu, Jing Wu, Yu-Kun Lai, Ze Ji:
Fusion of Short-term and Long-term Attention for Video Mirror Detection. CoRR abs/2407.07999 (2024) - [i15]Zhen Li, Weikai Yang, Jun Yuan, Jing Wu, Changjian Chen, Yao Ming, Fan Yang, Hui Zhang, Shixia Liu:
A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers. CoRR abs/2409.03164 (2024) - 2023
- [j19]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): 1139-1149 (2023) - [j18]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): 734-744 (2023) - [c25]Shuang Song, Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin:
Feature Proliferation - the "Cancer" in StyleGAN and its Treatments. ICCV 2023: 2360-2370 - [c24]Njuod Alsudays, Jing Wu, Yu-Kun Lai, Ze Ji:
AFPSNet: Multi-Class Part Parsing based on Scaled Attention and Feature Fusion. WACV 2023: 4022-4031 - [i14]Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai:
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective. CoRR abs/2303.05344 (2023) - [i13]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. CoRR abs/2308.05168 (2023) - [i12]Shuang Song, Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin:
Feature Proliferation - the "Cancer" in StyleGAN and its Treatments. CoRR abs/2310.08921 (2023) - [i11]Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu:
Interactive Reweighting for Mitigating Label Quality Issues. CoRR abs/2312.05067 (2023) - 2022
- [j17]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): 4727-4741 (2022) - [j16]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): 1941-1954 (2022) - [j15]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): 4980-4994 (2022) - [c23]Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin:
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling. ICML 2022: 13271-13284 - [c22]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: 1-6 - [i10]Meihao Kong, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao:
Playing Lottery Tickets in Style Transfer Models. CoRR abs/2203.13802 (2022) - [i9]Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin:
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling. CoRR abs/2206.06014 (2022) - [i8]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. CoRR abs/2206.09355 (2022) - [i7]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 abs/2207.09243 (2022) - 2021
- [j14]Li Yang, Jing Wu, Jing Huo, Yu-Kun Lai, Yang Gao:
Learning 3D face reconstruction from a single sketch. Graph. Model. 115: 101102 (2021) - [j13]Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang:
Vote-Based 3D Object Detection with Context Modeling and SOB-3DNMS. Int. J. Comput. Vis. 129(6): 1857-1874 (2021) - [j12]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: 8644-8657 (2021) - [j11]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): 3289-3304 (2021) - [j10]Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu:
Interactive Graph Construction for Graph-Based Semi-Supervised Learning. IEEE Trans. Vis. Comput. Graph. 27(9): 3701-3716 (2021) - [c21]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: 3081-3090 - [c20]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: 3692-3701 - [c19]Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao:
Manifold Alignment for Semantically Aligned Style Transfer. ICCV 2021: 14841-14849 - [c18]Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai:
An Open-Source Multi-goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet. TAROS 2021: 14-24 - [i6]Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai:
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet. CoRR abs/2105.05985 (2021) - 2020
- [c17]Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang:
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection. CVPR 2020: 10444-10453 - [c16]Kun Chen, Jingjing Wen, Jing Wu, Ze Ji:
Automated Robot-based Large-Scale 3D Surface Imaging. KES 2020: 2949-2958 - [i5]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 abs/2001.01870 (2020) - [i4]Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu:
Analyzing the Noise Robustness of Deep Neural Networks. CoRR abs/2001.09395 (2020) - [i3]Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang:
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection. CoRR abs/2004.05679 (2020) - [i2]Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao:
Manifold Alignment for Semantically Aligned Style Transfer. CoRR abs/2005.10777 (2020) - [i1]Junqi Wu, Zhibin Niu, Jing Wu, Xiufeng Liu, Jiawan Zhang:
E3: Visual Exploration of Spatiotemporal Energy Demand. CoRR abs/2006.09487 (2020)
2010 – 2019
- 2019
- [j9]Yu-Wei Zhang, Jing Wu, Zhongping Ji, Mingqiang Wei, Caiming Zhang:
Computer-assisted Relief Modelling: A Comprehensive Survey. Comput. Graph. Forum 38(2): 521-534 (2019) - [j8]Yaohua Pan, Zhibin Niu, Jing Wu, Jiawan Zhang:
InSocialNet: Interactive visual analytics for role - event videos. Comput. Vis. Media 5(4): 375-390 (2019) - [c15]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: 87 - [c14]Shouxing Xiang, Xi Ye, Jiazhi Xia, Jing Wu, Yang Chen, Shixia Liu:
Interactive Correction of Mislabeled Training Data. VAST 2019: 57-68 - 2018
- [j7]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): 163-173 (2018) - [c13]Jing Wu, Ze Ji:
Seeing the Unseen: Locating Objects from Reflections. TAROS 2018: 221-233 - 2016
- [j6]Jing Wu, Paul L. Rosin, Xianfang Sun, Ralph R. Martin:
Improving Shape from Shading with Interactive Tabu Search. J. Comput. Sci. Technol. 31(3): 450-462 (2016) - 2014
- [j5]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): 202-213 (2014) - 2013
- [j4]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): 671-682 (2013) - 2012
- [c12]Lichi Zhang, Edwin R. Hancock, Jing Wu:
Estimating Surface Characteristics and Extracting Features from Polarisation. SSPR/SPR 2012: 400-408 - 2011
- [j3]Michal Kawulok, Jing Wu, Edwin R. Hancock:
Supervised relevance maps for increasing the distinctiveness of facial images. Pattern Recognit. 44(4): 929-939 (2011) - [j2]Jing Wu, William A. P. Smith, Edwin R. Hancock:
Gender discriminating models from facial surface normals. Pattern Recognit. 44(12): 2871-2886 (2011) - [c11]Zhihong Zhang, Edwin R. Hancock, Jing Wu:
An information theoretic approach to gender feature selection. ICCV Workshops 2011: 1425-1431 - 2010
- [j1]Jing Wu, William A. P. Smith, Edwin R. Hancock:
Facial gender classification using shape-from-shading. Image Vis. Comput. 28(6): 1039-1048 (2010)
2000 – 2009
- 2009
- [b1]Jing Wu:
Statistical approaches to gender classification in the surface normal domain. University of York, UK, 2009 - [c10]Jing Wu, William A. P. Smith, Edwin R. Hancock:
Semi-supervised Feature Selection for Gender Classification. ACCV (2) 2009: 23-33 - [c9]Jing Wu, William A. P. Smith, Edwin R. Hancock, Michal Kawulok:
Extracting gender discriminating features from facial needle-maps. ICIP 2009: 2449-2452 - 2008
- [c8]Jing Wu, William A. P. Smith, Edwin R. Hancock:
Facial Gender Classification Using Shape from Shading and Weighted Principal Geodesic Analysis. ICIAR 2008: 925-934 - [c7]Jing Wu, William A. P. Smith, Edwin R. Hancock:
Gender classification based on facial surface normals. ICPR 2008: 1-4 - [c6]Jing Wu, William A. P. Smith, Edwin R. Hancock:
Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification. SSPR/SPR 2008: 664-673 - 2007
- [c5]Jing Wu, William A. P. Smith, Edwin R. Hancock:
Gender Classification using Shape from Shading. BMVC 2007: 1-10 - [c4]Jing Wu, William A. P. Smith, Edwin R. Hancock:
Weighted Principal Geodesic Analysis for Facial Gender Classification. CIARP 2007: 331-339 - [c3]Jing Wu, William A. P. Smith, Edwin R. Hancock:
Learning Mixture Models for Gender Classification Based on Facial Surface Normals. IbPRIA (1) 2007: 39-46 - [c2]Matthew P. Dickens, William A. P. Smith, Jing Wu, Edwin R. Hancock:
Face Recognition Using Principal Geodesic Analysis and Manifold Learning. IbPRIA (1) 2007: 426-434 - 2006
- [c1]Jing Wu, William A. P. Smith, Edwin R. Hancock:
Gender Classification Using Principal Geodesic Analysis and Gaussian Mixture Models. CIARP 2006: 58-67
Coauthor Index
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