| Dual path networks Y Chen, J Li, H Xiao, X Jin, S Yan, J Feng arXiv preprint arXiv:1707.01629, 2017 | 567 | 2017 |
| 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 | 397 | 2016 |
| -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 | 212 | 2018 |
| 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 arXiv preprint arXiv:1904.05049, 2019 | 211 | 2019 |
| Graph-based global reasoning networks Y Chen, M Rohrbach, Z Yan, Y Shuicheng, J Feng, Y Kalantidis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 191 | 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 | 131 | 2018 |
| Tokens-to-token vit: Training vision transformers from scratch on imagenet L Yuan, Y Chen, T Wang, W Yu, Y Shi, Z Jiang, FEH Tay, J Feng, S Yan arXiv preprint arXiv:2101.11986, 2021 | 96 | 2021 |
| 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 | 94 | 2016 |
| 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 | 84 | 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 arXiv preprint arXiv:1711.03270, 2017 | 59 | 2017 |
| 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 | 43* | 2018 |
| 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 | 41 | 2017 |
| 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 | 35 | 2017 |
| 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 | 33 | 2020 |
| Multi-path feedback recurrent neural networks for scene parsing X Jin, Y Chen, Z Jie, J Feng, S Yan Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 32 | 2017 |
| Compact image fingerprint via multiple kernel hashing F Zou, Y Chen, J Song, K Zhou, Y Yang, N Sebe IEEE transactions on multimedia 17 (7), 1006-1018, 2015 | 32 | 2015 |
| 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 | 30 | 2020 |
| Learning to segment human by watching youtube X Liang, Y Wei, L Lin, Y Chen, X Shen, J Yang, S Yan IEEE transactions on pattern analysis and machine intelligence 39 (7), 1462-1468, 2016 | 24 | 2016 |
| 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 | 22 | 2020 |
| 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 | 20 | 2020 |
Shuicheng Yan, Fellow of ACM, SAEn...Sea AI Lab, SingaporeVerified email at sea.com
