Követés
Jie Zhou
Jie Zhou
Professor, Department of Automation, Tsinghua University
E-mail megerősítve itt: tsinghua.edu.cn
Cím
Hivatkozott rá
Hivatkozott rá
Év
Dynamicvit: Efficient vision transformers with dynamic token sparsification
Y Rao, W Zhao, B Liu, J Lu, J Zhou, CJ Hsieh
Advances in neural information processing systems 34, 13937-13949, 2021
7552021
Point-bert: Pre-training 3d point cloud transformers with masked point modeling
X Yu, L Tang, Y Rao, T Huang, J Zhou, J Lu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
7342022
Deep Hashing for Compact Binary Codes Learning
JZ Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin
IEEE Conference on Computer Vision and Pattern Recognition, 2475-2483, 2015
653*2015
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
C Jin, W Chen, Y Cao, Z Xu, Z Tan, X Zhang, L Deng, C Zheng, J Zhou, ...
Nature communications 11 (1), 5088, 2020
6292020
Denseclip: Language-guided dense prediction with context-aware prompting
Y Rao, W Zhao, G Chen, Y Tang, Z Zhu, G Huang, J Zhou, J Lu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
6192022
Runtime neural pruning
J Lin, Y Rao, J Lu, J Zhou
Advances in neural information processing systems 30, 2017
6072017
Pointr: Diverse point cloud completion with geometry-aware transformers
X Yu, Y Rao, Z Wang, Z Liu, J Lu, J Zhou
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
5582021
Neighborhood repulsed metric learning for kinship verification
J Lu, X Zhou, YP Tan, Y Shang, J Zhou
IEEE transactions on pattern analysis and machine intelligence 36 (2), 331-345, 2013
5292013
Global filter networks for image classification
Y Rao, W Zhao, Z Zhu, J Lu, J Zhou
Advances in neural information processing systems 34, 980-993, 2021
5192021
Deep progressive reinforcement learning for skeleton-based action recognition
Y Tang, Y Tian, J Lu, P Li, J Zhou
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4882018
Learning compact binary face descriptor for face recognition
J Lu, VE Liong, X Zhou, J Zhou
IEEE transactions on pattern analysis and machine intelligence 37 (10), 2041 …, 2015
4512015
Learning compact binary descriptors with unsupervised deep neural networks
K Lin, J Lu, CS Chen, J Zhou
Proceedings of the IEEE conference on computer vision and pattern …, 2016
4272016
Structure-preserving super resolution with gradient guidance
C Ma, Y Rao, Y Cheng, C Chen, J Lu, J Zhou
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
4252020
Coin: A large-scale dataset for comprehensive instructional video analysis
Y Tang, D Ding, Y Rao, Y Zheng, D Zhang, L Zhao, J Lu, J Zhou
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
3422019
Hornet: Efficient high-order spatial interactions with recursive gated convolutions
Y Rao, W Zhao, Y Tang, J Zhou, SN Lim, J Lu
Advances in Neural Information Processing Systems 35, 10353-10366, 2022
3342022
Smooth representation clustering
H Hu, Z Lin, J Feng, J Zhou
Proceedings of the IEEE conference on computer vision and pattern …, 2014
3332014
Moving vehicle detection for automatic traffic monitoring
J Zhou, D Gao, D Zhang
IEEE transactions on vehicular technology 56 (1), 51-59, 2007
3292007
Counterfactual attention learning for fine-grained visual categorization and re-identification
Y Rao, G Chen, J Lu, J Zhou
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
3182021
Collaborative filtering: Weighted nonnegative matrix factorization incorporating user and item graphs
Q Gu, J Zhou, C Ding
SIAM SDM, 199-210, 2010
3172010
Co-clustering on manifolds
Q Gu, J Zhou
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
3052009
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Cikkek 1–20