Jing Wu

82 papers A* 7A 8B 3C 2Journal 50Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Survey of Object Goal Navigation.
IEEE Trans Autom. Sci. Eng.
Jingwen Sun, Jing Wu, Ze Ji, Yu-Kun Lai
2025 J jnl
Dictionary Based Generative Adversarial Network for Multi-Collection Style Transfer.
IEEE Trans. Multim.
Jing Huo, Shiyin Jin, Jiashen Li, Pinzhuo Tian, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
2025 J jnl
Guest Editorial: Multi-view representation learning for computer vision.
IET Comput. Vis.
Xin Ning, Jun Zhou, Jian Cheng, Jing Wu, Chen Wang, Lin Gu
2025 J jnl
MirrorSAM2: Segment Mirror in Videos with Depth Perception.
CoRR
Mingchen Xu, Yu-Kun Lai, Ze Ji, Jing Wu
2025 J jnl
REST: A resolution preserving network for photorealistic style transfer via semantic distillation.
Comput. Vis. Image Underst.
Jing Huo, Zheng Gu, Jiulin Zhang, Xiangde Liu, Shiyin Jin, Pinzhuo Tian, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
2025 A conf
RGB-D Video Mirror Detection.
WACV
Mingchen Xu, Peter Herbert, Yu-Kun Lai, Ze Ji, Jing Wu
2025 J jnl
RuleExplorer: A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers.
IEEE Trans. Vis. Comput. Graph.
Zhen Li, Weikai Yang, Jun Yuan, Jing Wu, Changjian Chen, Yao Ming, Fan Yang, Hui Zhang, Shixia Liu
2025 J jnl
SEA: Semantic Map Prediction for Active Exploration of Uncertain Areas.
CoRR
Hongyu Ding, Xinyue Liang, Yudong Fang, You Wu, Jieqi Shi, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
2024 J jnl
A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers.
CoRR
Zhen Li, Weikai Yang, Jun Yuan, Jing Wu, Changjian Chen, Yao Ming, Fan Yang, Hui Zhang, Shixia Liu
2024 J jnl
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision.
IEEE Trans. Vis. Comput. Graph.
Changjian Chen, Yukai Guo, Fengyuan Tian, Shilong Liu, Weikai Yang, Zhaowei Wang, Jing Wu, Hang Su, Hanspeter Pfister, Shixia Liu
2024 J jnl
Benchmarking visual SLAM methods in mirror environments.
Comput. Vis. Media
Peter Herbert, Jing Wu, Ze Ji, Yu-Kun Lai
2024 J jnl
Efficient Hierarchical Reinforcement Learning for Mapless Navigation With Predictive Neighbouring Space Scoring.
IEEE Trans Autom. Sci. Eng.
Yan Gao, Jing Wu, Xintong Yang, Ze Ji
2024 A* conf
Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling.
ICML
Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin
2024 A conf
Fusion of Short-term and Long-term Attention for Video Mirror Detection.
ICME
Mingchen Xu, Jing Wu, Yu-Kun Lai, Ze Ji
2024 J jnl
Fusion of Short-term and Long-term Attention for Video Mirror Detection.
CoRR
Mingchen Xu, Jing Wu, Yu-Kun Lai, Ze Ji
2024 J jnl
GAM: General affordance-based manipulation for contact-rich object disentangling tasks.
Neurocomputing
Xintong Yang, Jing Wu, Yu-Kun Lai, Ze Ji
2024 A conf
GRPSNET: Multi-Class Part Parsing Based on Graph Reasoning.
ICME
Njuod Alsudays, Jing Wu, Yu-Kun Lai, Ze Ji
2024 J jnl
Interactive Reweighting for Mitigating Label Quality Issues.
IEEE Trans. Vis. Comput. Graph.
Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu
2024 J jnl
Mapless navigation via Hierarchical Reinforcement Learning with memory-decaying novelty.
Robotics Auton. Syst.
Yan Gao, Feiqiang Lin, Boliang Cai, Jing Wu, Changyun Wei, Raphael Grech, Ze Ji
2024 A conf
RSMPNet: Relationship Guided Semantic Map Prediction.
WACV
Jingwen Sun, Jing Wu, Ze Ji, Yu-Kun Lai
2024 A conf
Sparse Convolutional Networks for Surface Reconstruction from Noisy Point Clouds.
WACV
Tao Wang, Jing Wu, Ze Ji, Yu-Kun Lai
2024 J jnl
Towards efficient image and video style transfer via distillation and learnable feature transformation.
Comput. Vis. Image Underst.
Jing Huo, Meihao Kong, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
2024 J jnl
Zero-Shot Video Editing through Adaptive Sliding Score Distillation.
CoRR
Lianghan Zhu, Yanqi Bao, Jing Huo, Jing Wu, Yu-Kun Lai, Wenbin Li, Yang Gao
2023 J jnl
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision.
CoRR
Changjian Chen, Yukai Guo, Fengyuan Tian, Shilong Liu, Weikai Yang, Zhaowei Wang, Jing Wu, Hang Su, Hanspeter Pfister, Shixia Liu
2023 A conf
AFPSNet: Multi-Class Part Parsing based on Scaled Attention and Feature Fusion.
WACV
Njuod Alsudays, Jing Wu, Yu-Kun Lai, Ze Ji
2023 A* conf
Feature Proliferation - the "Cancer" in StyleGAN and its Treatments.
ICCV
Shuang Song, Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin
2023 J jnl
Feature Proliferation - the "Cancer" in StyleGAN and its Treatments.
CoRR
Shuang Song, Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin
2023 J jnl
Interactive Reweighting for Mitigating Label Quality Issues.
CoRR
Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu
2023 J jnl
Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction.
IEEE Trans. Vis. Comput. Graph.
Jiazhi Xia, Linquan Huang, Weixing Lin, Xin Zhao, Jing Wu, Yang Chen, Ying Zhao, Wei Chen
2023 J jnl
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective.
CoRR
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
2023 J jnl
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective.
IEEE Trans. Cogn. Dev. Syst.
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
2022 J jnl
A Unified Understanding of Deep NLP Models for Text Classification.
CoRR
Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu
2022 J jnl
A Unified Understanding of Deep NLP Models for Text Classification.
IEEE Trans. Vis. Comput. Graph.
Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu
2022 — conf
Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning.
ICAC
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
2022 J jnl
Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning.
CoRR
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
2022 A* conf
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling.
ICML
Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin
2022 J jnl
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling.
CoRR
Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin
2022 J jnl
Hierarchical Reinforcement Learning With Universal Policies for Multistep Robotic Manipulation.
IEEE Trans. Neural Networks Learn. Syst.
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai, Changyun Wei, Guoliang Liu, Rossitza Setchi
2022 J jnl
Playing Lottery Tickets in Style Transfer Models.
CoRR
Meihao Kong, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
2022 J jnl
Towards Better Caption Supervision for Object Detection.
IEEE Trans. Vis. Comput. Graph.
Changjian Chen, Jing Wu, Xiaohan Wang, Shouxing Xiang, Song-Hai Zhang, Qifeng Tang, Shixia Liu
2021 J jnl
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet.
CoRR
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
2021 — conf
An Open-Source Multi-goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet.
TAROS
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
2021 J jnl
Analyzing the Noise Robustness of Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph.
Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu
2021 J jnl
Interactive Graph Construction for Graph-Based Semi-Supervised Learning.
IEEE Trans. Vis. Comput. Graph.
Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu
2021 J jnl
Learning 3D face reconstruction from a single sketch.
Graph. Model.
Li Yang, Jing Wu, Jing Huo, Yu-Kun Lai, Yang Gao
2021 A* conf
MLVSNet: Multi-level Voting Siamese Network for 3D Visual Tracking.
ICCV
Zhoutao Wang, Qian Xie, Yu-Kun Lai, Jing Wu, Kun Long, Jun Wang
2021 J jnl
MW-GAN: Multi-Warping GAN for Caricature Generation With Multi-Style Geometric Exaggeration.
IEEE Trans. Image Process.
Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao
2021 A* conf
Manifold Alignment for Semantically Aligned Style Transfer.
ICCV
Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao
2021 A* conf
VENet: Voting Enhancement Network for 3D Object Detection.
ICCV
Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Dening Lu, Mingqiang Wei, Jun Wang
2021 J jnl
Vote-Based 3D Object Detection with Context Modeling and SOB-3DNMS.
Int. J. Comput. Vis.
Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang
2020 J jnl
Analyzing the Noise Robustness of Deep Neural Networks.
CoRR
Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu
2020 B conf
Automated Robot-based Large-Scale 3D Surface Imaging.
KES
Kun Chen, Jingjing Wen, Jing Wu, Ze Ji
2020 J jnl
E
CoRR
Junqi Wu, Zhibin Niu, Jing Wu, Xiufeng Liu, Jiawan Zhang
2020 A* conf
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection.
CVPR
Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang
2020 J jnl
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection.
CoRR
Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang
2020 J jnl
MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration.
CoRR
Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao
2020 J jnl
Manifold Alignment for Semantically Aligned Style Transfer.
CoRR
Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao
2019 J jnl
Computer-assisted Relief Modelling: A Comprehensive Survey.
Comput. Graph. Forum
Yu-Wei Zhang, Jing Wu, Zhongping Ji, Mingqiang Wei, Caiming Zhang
2019 A conf
Discriminative Features Matter: Multi-layer Bilinear Pooling for Camera Localization.
BMVC
Xin Wang, Xiang Wang, Chen Wang, Xiao Bai, Jing Wu, Edwin Robert Hancock
2019 J jnl
InSocialNet: Interactive visual analytics for role - event videos.
Comput. Vis. Media
Yaohua Pan, Zhibin Niu, Jing Wu, Jiawan Zhang
2019 — conf
Interactive Correction of Mislabeled Training Data.
VAST
Shouxing Xiang, Xi Ye, Jiazhi Xia, Jing Wu, Yang Chen, Shixia Liu
2018 — conf
Seeing the Unseen: Locating Objects from Reflections.
TAROS
Jing Wu, Ze Ji
2018 J jnl
Visual Diagnosis of Tree Boosting Methods.
IEEE Trans. Vis. Comput. Graph.
Shixia Liu, Jiannan Xiao, Junlin Liu, Xiting Wang, Jing Wu, Jun Zhu
2016 J jnl
Improving Shape from Shading with Interactive Tabu Search.
J. Comput. Sci. Technol.
Jing Wu, Paul L. Rosin, Xianfang Sun, Ralph R. Martin
2014 J jnl
Use of non-photorealistic rendering and photometric stereo in making bas-reliefs from photographs.
Graph. Model.
Jing Wu, Ralph R. Martin, Paul L. Rosin, Xianfang Sun, Yu-Kun Lai, Y.-H. Liu, Christian Wallraven
2013 J jnl
Making bas-reliefs from photographs of human faces.
Comput. Aided Des.
Jing Wu, Ralph R. Martin, Paul L. Rosin, Xianfang Sun, Frank C. Langbein, Yu-Kun Lai, A. David Marshall, Y.-H. Liu
2012 — conf
Estimating Surface Characteristics and Extracting Features from Polarisation.
SSPR/SPR
Lichi Zhang, Edwin R. Hancock, Jing Wu
2011 — conf
An information theoretic approach to gender feature selection.
ICCV Workshops
Zhihong Zhang, Edwin R. Hancock, Jing Wu
2011 J jnl
Gender discriminating models from facial surface normals.
Pattern Recognit.
Jing Wu, William A. P. Smith, Edwin R. Hancock
2011 J jnl
Supervised relevance maps for increasing the distinctiveness of facial images.
Pattern Recognit.
Michal Kawulok, Jing Wu, Edwin R. Hancock
2010 J jnl
Facial gender classification using shape-from-shading.
Image Vis. Comput.
Jing Wu, William A. P. Smith, Edwin R. Hancock
2009 B conf
Extracting gender discriminating features from facial needle-maps.
ICIP
Jing Wu, William A. P. Smith, Edwin R. Hancock, Michal Kawulok
2009 — conf
Semi-supervised Feature Selection for Gender Classification.
ACCV (2)
Jing Wu, William A. P. Smith, Edwin R. Hancock
2009 — —
Statistical approaches to gender classification in the surface normal domain.
Jing Wu
2008 — conf
Facial Gender Classification Using Shape from Shading and Weighted Principal Geodesic Analysis.
ICIAR
Jing Wu, William A. P. Smith, Edwin R. Hancock
2008 B conf
Gender classification based on facial surface normals.
ICPR
Jing Wu, William A. P. Smith, Edwin R. Hancock
2008 — conf
Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification.
SSPR/SPR
Jing Wu, William A. P. Smith, Edwin R. Hancock
2007 — conf
Face Recognition Using Principal Geodesic Analysis and Manifold Learning.
IbPRIA (1)
Matthew P. Dickens, William A. P. Smith, Jing Wu, Edwin R. Hancock
2007 A conf
Gender Classification using Shape from Shading.
BMVC
Jing Wu, William A. P. Smith, Edwin R. Hancock
2007 — conf
Learning Mixture Models for Gender Classification Based on Facial Surface Normals.
IbPRIA (1)
Jing Wu, William A. P. Smith, Edwin R. Hancock
2007 C conf
Weighted Principal Geodesic Analysis for Facial Gender Classification.
CIARP
Jing Wu, William A. P. Smith, Edwin R. Hancock
2006 C conf
Gender Classification Using Principal Geodesic Analysis and Gaussian Mixture Models.
CIARP
Jing Wu, William A. P. Smith, Edwin R. Hancock