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Jing Zhang
Jing Zhang
School of Software, Beihang University
Verified email at buaa.edu.cn - Homepage
Title
Cited by
Cited by
Year
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
J Zhang, W Li, P Ogunbona
IEEE Conference on Computer Vision and Pattern Recognition, 2017
6192017
Importance Weighted Adversarial Nets for Partial Domain Adaptation
J Zhang, Z Ding, W Li, P Ogunbona
IEEE Conference on Computer Vision and Pattern Recognition, 2018
4762018
Action recognition from depth maps using deep convolutional neural networks
P Wang, W Li, Z Gao, J Zhang, C Tang, PO Ogunbona
IEEE Transactions on Human-Machine Systems 46 (4), 498-509, 2015
3422015
RGB-D-based action recognition datasets: A survey
J Zhang, W Li, PO Ogunbona, P Wang, C Tang
Pattern Recognition 60, 86-105, 2016
2992016
Cross-view locality preserved diversity and consensus learning for multi-view unsupervised feature selection
C Tang, X Zheng, X Liu, W Zhang, J Zhang, J Xiong, L Wang
IEEE Transactions on Knowledge and Data Engineering 34 (10), 4705-4716, 2021
1592021
Recent advances in transfer learning for cross-dataset visual recognition: A problem-oriented perspective
J Zhang, W Li, P Ogunbona, D Xu
ACM Computing Surveys (CSUR) 52 (1), 1-38, 2019
1292019
Convnets-based action recognition from depth maps through virtual cameras and pseudocoloring
P Wang, W Li, Z Gao, C Tang, J Zhang, P Ogunbona
Proceedings of the 23rd ACM international conference on Multimedia, 1119-1122, 2015
1192015
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
J Tian, J Zhang*, W Li, D Xu
IEEE Transactions on Circuits and Systems for Video Technology, 2021
832021
3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds
D Cai, L Zhao, J Zhang*, L Sheng, D Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
712022
Deep convolutional neural networks for action recognition using depth map sequences
P Wang, W Li, Z Gao, J Zhang, C Tang, P Ogunbona
arXiv preprint arXiv:1501.04686, 2015
672015
Online Action Recognition based on Incremental Learning of Weighted Covariance Descriptors
C Tang, W Li, C Hou, P Wang, Y Hou, J Zhang, PO Ogunbona
arXiv preprint arXiv:1511.03028, 2015
52*2015
Source Data-free Unsupervised Domain Adaptation for Semantic Segmentation
M Ye, J Zhang*, J Ouyang, D Yuan
29th ACM International Conference on Multimedia, 2021
342021
A Large Scale RGB-D Dataset for Action Recognition
J Zhang, W Li, P Wang, P Ogunbona, S Liu, C Tang
UHA3DS in International Conference on Pattern Recognition, 2016
272016
Unsupervised domain adaptation: A multi-task learning-based method
J Zhang, W Li, P Ogunbona
Knowledge-Based Systems, 2019
202019
Progressive Modality Cooperation for Multi-Modality Domain Adaptation
W Zhang, D Xu, J Zhang, W Ouyang
IEEE Transactions on Image Processing, 2021
192021
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter
J Wang, X Li, J Zhang*, Q Xu, Q Zhou, Q Yu, L Sheng, D Xu
arXiv preprint arXiv:2309.02773, 2023, 2023
162023
Towards Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline
L Zhao, D Cai, J Zhang*, L Sheng, D Xu, R Zheng, Y Zhao, L Wang, X Fan
IEEE Transactions on Circuits and Systems for Video Technology, 2022
162022
Few-Shot Domain Expansion for Face Anti-Spoofing
B Yang, J Zhang*, Z Yin, J Shao
arXiv preprint arXiv:2106.14162, 2021
162021
DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
X Xing, C Wang, H Zhou, J Zhang, Q Yu, D Xu
Advances in Neural Information Processing Systems (NeurIPS 2023), 2023
112023
Improving rgb-d point cloud registration by learning multi-scale local linear transformation
Z Wang, X Huo, Z Chen, J Zhang, L Sheng, D Xu
European Conference on Computer Vision, 175-191, 2022
112022
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