Jing Wu

According to our database, Jing Wu authored at least 50 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Benchmarking visual SLAM methods in mirror environments.

Peter Herbert, Jing Wu, Ze Ji, Yu-Kun Lai

Comput. Vis. Media, April, 2024

Interactive Reweighting for Mitigating Label Quality Issues.

Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yu-Feng Li, Shixia Liu

IEEE Trans. Vis. Comput. Graph., March, 2024

A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision.

Changjian Chen, Yukai Guo, Fengyuan Tian, Shilong Liu, Weikai Yang, Zhaowei Wang, Jing Wu, Hang Su, Hanspeter Pfister, Shixia Liu

IEEE Trans. Vis. Comput. Graph., January, 2024

2023

Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective.

Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai

IEEE Trans. Cogn. Dev. Syst., September, 2023

Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction.

Jiazhi Xia, Linquan Huang, Weixing Lin, Xin Zhao, Jing Wu, Yang Chen, Ying Zhao, Wei Chen

IEEE Trans. Vis. Comput. Graph., 2023

AFPSNet: Multi-Class Part Parsing based on Scaled Attention and Feature Fusion.

Njuod Alsudays, Jing Wu, Yu-Kun Lai, Ze Ji

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Feature Proliferation - the "Cancer" in StyleGAN and its Treatments.

Shuang Song, Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Unified Understanding of Deep NLP Models for Text Classification.

Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2022

Towards Better Caption Supervision for Object Detection.

Changjian Chen, Jing Wu, Xiaohan Wang, Shouxing Xiang, Song-Hai Zhang, Qifeng Tang, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2022

Hierarchical Reinforcement Learning With Universal Policies for Multistep Robotic Manipulation.

Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai, Changyun Wei, Guoliang Liu, Rossitza Setchi

IEEE Trans. Neural Networks Learn. Syst., 2022

Playing Lottery Tickets in Style Transfer Models.

Meihao Kong, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao

CoRR, 2022

Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning.

Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai

Proceedings of the 27th International Conference on Automation and Computing, 2022

Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling.

Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin

Proceedings of the International Conference on Machine Learning, 2022

2021

Interactive Graph Construction for Graph-Based Semi-Supervised Learning.

Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yu-Feng Li, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2021

Analyzing the Noise Robustness of Deep Neural Networks.

Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2021

MW-GAN: Multi-Warping GAN for Caricature Generation With Multi-Style Geometric Exaggeration.

Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao

IEEE Trans. Image Process., 2021

Vote-Based 3D Object Detection with Context Modeling and SOB-3DNMS.

Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang

Int. J. Comput. Vis., 2021

Learning 3D face reconstruction from a single sketch.

Li Yang, Jing Wu, Jing Huo, Yu-Kun Lai, Yang Gao

Graph. Model., 2021

An Open-Source Multi-goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet.

Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai

Proceedings of the Towards Autonomous Robotic Systems - 22nd Annual Conference, 2021

VENet: Voting Enhancement Network for 3D Object Detection.

Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Dening Lu, Mingqiang Wei, Jun Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MLVSNet: Multi-level Voting Siamese Network for 3D Visual Tracking.

Zhoutao Wang, Qian Xie, Yu-Kun Lai, Jing Wu, Kun Long, Jun Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Manifold Alignment for Semantically Aligned Style Transfer.

Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

E³: Visual Exploration of Spatiotemporal Energy Demand.

Junqi Wu, Zhibin Niu, Jing Wu, Xiufeng Liu, Jiawan Zhang

CoRR, 2020

Automated Robot-based Large-Scale 3D Surface Imaging.

Kun Chen, Jingjing Wen, Jing Wu, Ze Ji

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

MLCVNet: Multi-Level Context VoteNet for 3D Object Detection.

Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

InSocialNet: Interactive visual analytics for role - event videos.

Yaohua Pan, Zhibin Niu, Jing Wu, Jiawan Zhang

Comput. Vis. Media, 2019

Computer-assisted Relief Modelling: A Comprehensive Survey.

Yu-Wei Zhang, Jing Wu, Zhongping Ji, Mingqiang Wei, Caiming Zhang

Comput. Graph. Forum, 2019

Interactive Correction of Mislabeled Training Data.

Shouxing Xiang, Xi Ye, Jiazhi Xia, Jing Wu, Yang Chen, Shixia Liu

Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019

Discriminative Features Matter: Multi-layer Bilinear Pooling for Camera Localization.

Xin Wang, Xiang Wang, Chen Wang, Xiao Bai, Jing Wu, Edwin Robert Hancock

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Visual Diagnosis of Tree Boosting Methods.

Shixia Liu, Jiannan Xiao, Junlin Liu, Xiting Wang, Jing Wu, Jun Zhu

IEEE Trans. Vis. Comput. Graph., 2018

Seeing the Unseen: Locating Objects from Reflections.

Jing Wu, Ze Ji

Proceedings of the Towards Autonomous Robotic Systems - 19th Annual Conference, 2018

2016

Improving Shape from Shading with Interactive Tabu Search.

Jing Wu, Paul L. Rosin, Xianfang Sun, Ralph R. Martin

J. Comput. Sci. Technol., 2016

2014

Use of non-photorealistic rendering and photometric stereo in making bas-reliefs from photographs.

Jing Wu, Ralph R. Martin, Paul L. Rosin, Xianfang Sun, Yu-Kun Lai, Y.-H. Liu, Christian Wallraven

Graph. Model., 2014

2013

Making bas-reliefs from photographs of human faces.

Jing Wu, Ralph R. Martin, Paul L. Rosin, Xianfang Sun, Frank C. Langbein, Yu-Kun Lai, A. David Marshall, Y.-H. Liu

Comput. Aided Des., 2013

2012

Estimating Surface Characteristics and Extracting Features from Polarisation.

Lichi Zhang, Edwin R. Hancock, Jing Wu

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

2011

Gender discriminating models from facial surface normals.

Jing Wu, William A. P. Smith, Edwin R. Hancock

Pattern Recognit., 2011

Supervised relevance maps for increasing the distinctiveness of facial images.

Michal Kawulok, Jing Wu, Edwin R. Hancock

Pattern Recognit., 2011

An information theoretic approach to gender feature selection.

Zhihong Zhang, Edwin R. Hancock, Jing Wu

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2010

Facial gender classification using shape-from-shading.

Jing Wu, William A. P. Smith, Edwin R. Hancock

Image Vis. Comput., 2010

2009

Statistical approaches to gender classification in the surface normal domain.

Jing Wu

PhD thesis, 2009

Extracting gender discriminating features from facial needle-maps.

Jing Wu, William A. P. Smith, Edwin R. Hancock, Michal Kawulok

Proceedings of the International Conference on Image Processing, 2009

Semi-supervised Feature Selection for Gender Classification.

Jing Wu, William A. P. Smith, Edwin R. Hancock

Proceedings of the Computer Vision, 2009

2008

Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification.

Jing Wu, William A. P. Smith, Edwin R. Hancock

Proceedings of the Structural, 2008

Gender classification based on facial surface normals.

Jing Wu, William A. P. Smith, Edwin R. Hancock

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Facial Gender Classification Using Shape from Shading and Weighted Principal Geodesic Analysis.

Jing Wu, William A. P. Smith, Edwin R. Hancock

Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

2007

Learning Mixture Models for Gender Classification Based on Facial Surface Normals.

Jing Wu, William A. P. Smith, Edwin R. Hancock

Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

Face Recognition Using Principal Geodesic Analysis and Manifold Learning.

Matthew P. Dickens, William A. P. Smith, Jing Wu, Edwin R. Hancock

Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

Weighted Principal Geodesic Analysis for Facial Gender Classification.

Jing Wu, William A. P. Smith, Edwin R. Hancock

Proceedings of the Progress in Pattern Recognition, 2007

Gender Classification using Shape from Shading.

Jing Wu, William A. P. Smith, Edwin R. Hancock

Proceedings of the British Machine Vision Conference 2007, 2007

2006

Gender Classification Using Principal Geodesic Analysis and Gaussian Mixture Models.

Jing Wu, William A. P. Smith, Edwin R. Hancock

Proceedings of the Progress in Pattern Recognition, 2006