| Tokens-to-token vit: Training vision transformers from scratch on imagenet L Yuan, Y Chen, T Wang, W Yu, Y Shi, ZH Jiang, FEH Tay, J Feng, S Yan Proceedings of the IEEE/CVF international conference on computer vision, 558-567, 2021 | 1941 | 2021 |
| Dual path networks Y Chen, J Li, H Xiao, X Jin, S Yan, J Feng Advances in neural information processing systems 30, 2017 | 985 | 2017 |
| Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution Y Chen, H Fan, B Xu, Z Yan, Y Kalantidis, M Rohrbach, S Yan, J Feng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 651 | 2019 |
| -Nets: Double Attention Networks Y Chen, Y Kalantidis, J Li, S Yan, J Feng Advances in Neural Information Processing System (NIPS 2018), 350-359, 2018 | 636 | 2018 |
| Stc: A simple to complex framework for weakly-supervised semantic segmentation Y Wei, X Liang, Y Chen, X Shen, MM Cheng, J Feng, Y Zhao, S Yan IEEE transactions on pattern analysis and machine intelligence 39 (11), 2314 …, 2016 | 621 | 2016 |
| Graph-Based Global Reasoning Networks C Yunpeng, R Marcus, Y Zhicheng, Y Shuicheng, F Jiashi, K Yannis IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 433-442, 2019 | 524* | 2019 |
| Multi-fiber Networks for Video Recognition Y Chen, Y Kalantidis, J Li, S Yan, J Feng European Conference on Computer Vision, 364-380, 2018 | 263 | 2018 |
| Rethinking bottleneck structure for efficient mobile network design D Zhou, Q Hou, Y Chen, J Feng, S Yan Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 227 | 2020 |
| Highly efficient salient object detection with 100k parameters SH Gao, YQ Tan, MM Cheng, C Lu, Y Chen, S Yan European Conference on Computer Vision, 702-721, 2020 | 195 | 2020 |
| ConvBERT: Improving BERT with Span-based Dynamic Convolution J Zihang, Y Weihao, Z Daquan, C Yunpeng, F Jiashi, Y Shuicheng Conference on Neural Information Processing Systems (NeurIPS), 2020 | 177 | 2020 |
| Video scene parsing with predictive feature learning X Jin, X Li, H Xiao, X Shen, Z Lin, J Yang, Y Chen, J Dong, L Liu, Z Jie, ... Proceedings of the IEEE International Conference on Computer Vision, 5580-5588, 2017 | 146 | 2017 |
| Learning to segment with image-level annotations Y Wei, X Liang, Y Chen, Z Jie, Y Xiao, Y Zhao, S Yan Pattern Recognition 59, 234-244, 2016 | 119 | 2016 |
| Adversarialnas: Adversarial neural architecture search for gans C Gao, Y Chen, S Liu, Z Tan, S Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 92 | 2020 |
| Self-supervised neural aggregation networks for human parsing J Zhao, J Li, X Nie, F Zhao, Y Chen, Z Wang, J Feng, S Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 80 | 2017 |
| Predicting scene parsing and motion dynamics in the future X Jin, H Xiao, X Shen, J Yang, Z Lin, Y Chen, Z Jie, J Feng, S Yan Advances in neural information processing systems 30, 2017 | 79 | 2017 |
| Dynamic Feature Fusion for Semantic Edge Detection Y Hu, Y Chen, X Li, J Feng Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 | 75 | 2019 |
| Pnp-detr: Towards efficient visual analysis with transformers T Wang, L Yuan, Y Chen, J Feng, S Yan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 74 | 2021 |
| Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks Y Chen, X Jin, B Kang, J Feng, S Yan Twenty-Seventh International Joint Conference on Artificial Intelligence …, 2018 | 67* | 2018 |
| Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models Y Gu, X Wang, JZ Wu, Y Shi, Y Chen, Z Fan, W Xiao, R Zhao, S Chang, ... Advances in Neural Information Processing Systems 36, 2024 | 65 | 2024 |
| Training group orthogonal neural networks with privileged information Y Chen, X Jin, J Feng, S Yan Twenty-Sixth International Joint Conference on Artificial Intelligence …, 2017 | 49 | 2017 |
Shuicheng Yan, Fellow of AAAI, ACM,...Kunlun 2050 Research & Skywork AI, previously Sea AI Lab在 kunlun-inc.com 的电子邮件经过验证
