| Squeeze-and-excitation networks J Hu, L Shen, S Albanie, G Sun, E Wu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 | 12681 | 2019 |
| Squeeze-and-excitation networks J Hu, L Shen, G Sun IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7132-7141, 2018 | 12681 | 2018 |
| 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 | 284 | 2018 |
| 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 | 270 | 2016 |
| 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 | 70 | 2021 |
| Unifying Nonlocal Blocks for Neural Networks L Zhu, Q She, D Li, Y Lu, X Kang, J Hu, C Wang IEEE International Conference on Computer Vision (ICCV), 2021 | 2 | 2021 |
| 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 | 1 | 2021 |
| Elastic-Link for Binarized Neural Network J Hu, W Ziheng, V Tan, Z Lu, M Zeng, E Wu AAAI Conference on Artificial Intelligence (AAAI), 2022 | | 2022 |
| Domain-Invariant Representation Learning with Global and Local Consistency W Qiang, J Li, J Hu, B Su, C Zheng, H Xiong | | 2021 |
| OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework D Chen, V Tan, Z Lu, J Hu arXiv preprint arXiv:2109.07852, 2021 | | 2021 |
| Information Theory-Guided Heuristic Progressive Multi-View Coding J Li, W Qiang, H Gao, B Su, F Razzak, J Hu, C Zheng, H Xiong arXiv preprint arXiv:2109.02344, 2021 | | 2021 |
Gang SunMomentaVerified email at momenta.ai
