| Squeeze-and-excitation networks J Hu, L Shen, G Sun IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7132-7141, 2018 | 36674 | 2018 |
| 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 | 1548* | 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 | 769 | 2018 |
| 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 | 414 | 2021 |
| 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 | 313 | 2016 |
| Squeeze-and-excitation networks. arXiv 2017 J Hu, L Shen, S Albanie, G Sun, E Wu arXiv preprint arXiv:1709.01507 7, 0 | 142 | |
| 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 | 39 | 2021 |
| 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 | 27 | 2021 |
| Elastic Aggregation for Federated Optimization D Chen*, J Hu*, VJK Tan, E Wu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 24 | 2023 |
| Kangaroo: A powerful video-language model supporting long-context video input J Liu, Y Wang, H Ma, X Wu, X Ma, X Wei, J Jiao, E Wu, J Hu* arXiv preprint arXiv:2408.15542, 2024 | 13 | 2024 |
| 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 | 11 | 2023 |
| 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 | 6 | 2022 |
| 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 | 5 | 2024 |
| 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 | 4 | 2024 |
| Bag of Tricks with Quantized Convolutional Neural Networks for image classification J Hu, M Zeng, E Wu ICASSP, 2023 | 3 | 2023 |
| 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 | 2 | 2024 |
| Real3D: The Curious Case of Neural Scene Degeneration D Chen, J Hu, X Wei, E Wu AAAI Conference on Artificial Intelligence (AAAI), 2024 | 1 | 2024 |
| 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 | 1 | 2022 |
| HyperSeg: Towards Universal Visual Segmentation with Large Language Model C Wei, Y Zhong, H Tan, Y Liu, Z Zhao, J Hu, Y Yang arXiv preprint arXiv:2411.17606, 2024 | | 2024 |
| High-Resolution Image Synthesis via Next-Token Prediction D Chen, J Hu, T Yue, X Wei arXiv preprint arXiv:2411.14808, 2024 | | 2024 |
Gang SunMomentaVerified email at momenta.ai
