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Jie Hu
Jie Hu
Other namesHu Jie, 胡杰
State Key Laboratory of Computer Science, Institute of Software,Chinese Academy of Sciences; Meituan
Verified email at ios.ac.cn
Title
Cited by
Cited by
Year
Squeeze-and-excitation networks
J Hu, L Shen, G Sun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7132-7141, 2018
312702018
Squeeze-and-excitation networks
J Hu, L Shen, G Sun, S Albanie, E Wu
IEEE transactions on pattern analysis and machine intelligence (TPAMI) 42 (8 …, 2020
1426*2020
Gather-excite: Exploiting feature context in convolutional neural networks
J Hu, L Shen, S Albanie, G Sun, A Vedaldi
Neural Information Processing Systems (NeurIPS), 2018
6822018
Involution: Inverting the Inherence of Convolution for Visual Recognition
D Li, J Hu, C Wang, X Li, Q She, L Zhu, T Zhang, Q Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
3442021
A key volume mining deep framework for action recognition
W Zhu, J Hu, G Sun, X Cao, Y Qiao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1991-1999, 2016
3062016
Squeeze-and-excitation networks. In 2018 IEEE
J Hu, L Shen, G Sun
CVF conference on computer vision and pattern recognition, 7132-7141, 2021
1412021
Learning the Superpixel in a Non-iterative and Lifelong Manner
L Zhu, Q She, B Zhang, Y Lu, Z Lu, D Li, J Hu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
332021
Unifying nonlocal blocks for neural networks
L Zhu, Q She, D Li, Y Lu, X Kang, J Hu, C Wang
International Conference on Computer Vision (ICCV), 12292-12301, 2021
262021
Elastic Aggregation for Federated Optimization
D Chen*, J Hu*, VJK Tan, E Wu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
132023
OpenFed: A comprehensive and versatile open-source federated learning framework
D Chen, V Tan, Z Lu, E Wu, J Hu
IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2023
72023
Elastic-Link for Binarized Neural Network
J Hu, Z Wu, V Tan, Z Lu, M Zeng, E Wu
AAAI Conference on Artificial Intelligence (AAAI), 2022
62022
Intriguing property and counterfactual explanation of gan for remote sensing image generation
X Su, W Qiang, J Hu, F Wu, C Zheng, F Sun
International Journal of Computer Vision (IJCV), 2024
12024
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
Q Ji, J Li, J Hu, R Wang, C Zheng, F Xu
AAAI Conference on Artificial Intelligence (AAAI), 2024
12024
Bag of Tricks with Quantized Convolutional Neural Networks for image classification
J Hu, M Zeng, E Wu
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2023
12023
Rethinking skip connection model as a learnable Markov chain
D Chen*, J Hu*, W Qiang, X Wei, E Wu
International Conference on Learning Representations (ICLR), 2022
12022
Real3D: The Curious Case of Neural Scene Degeneration
D Chen, J Hu, X Wei, E Wu
AAAI Conference on Artificial Intelligence (AAAI), 2024
2024
Self-Supervised Representation Learning with Meta Comprehensive Regularization
H Guo, Y Ba, J Hu, L Si, W Qiang, L Shi
AAAI Conference on Artificial Intelligence (AAAI), 2024
2024
Domain-Invariant Representation Learning with Global and Local Consistency
W Qiang, J Li, J Hu, B Su, C Zheng, H Xiong
2021
When Self-Supervised Learning Meets Unbounded Pseudo-Label Generation
W Qiang, L Si, J Hu, J Li, C Zheng, F Sun, H Xiong
Zero-Shot Video Sampling from Image
D Chen, J Hu, X Wei
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