| Resnest: Split-attention networks H Zhang, C Wu, Z Zhang, Y Zhu, H Lin, Z Zhang, Y Sun, T He, J Mueller, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 979 | 2022 |
| Improving Semantic Segmentation via Video Propagation and Label Relaxation Y Zhu, K Sapra, FA Reda, KJ Shih, S Newsam, A Tao, B Catanzaro IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 341 | 2019 |
| Hidden two-stream convolutional networks for action recognition Y Zhu, Z Lan, S Newsam, AG Hauptmann Asian Conference on Computer Vision (ACCV), 2018 | 302 | 2018 |
| Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ... The Journal of Machine Learning Research 21 (1), 845-851, 2020 | 170 | 2020 |
| Selective sparse sampling for fine-grained image recognition Y Ding, Y Zhou, Y Zhu, Q Ye, J Jiao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 161 | 2019 |
| DenseNet for Dense Flow Y Zhu, S Newsam Image Processing (ICIP), 2017 IEEE International Conference on, 2017 | 158 | 2017 |
| Vision-language navigation with self-supervised auxiliary reasoning tasks F Zhu, Y Zhu, X Chang, X Liang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 150 | 2020 |
| Deep local video feature for action recognition Z Lan, Y Zhu, AG Hauptmann, S Newsam Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 126 | 2017 |
| Motion-aware feature for improved video anomaly detection Y Zhu, S Newsam arXiv preprint arXiv:1907.10211, 2019 | 104 | 2019 |
| Vidtr: Video transformer without convolutions Y Zhang, X Li, C Liu, B Shuai, Y Zhu, B Brattoli, H Chen, I Marsic, J Tighe Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 99* | 2021 |
| A comprehensive study of deep video action recognition Y Zhu, X Li, C Liu, M Zolfaghari, Y Xiong, C Wu, Z Zhang, J Tighe, ... arXiv preprint arXiv:2012.06567, 2020 | 94 | 2020 |
| Towards universal representation for unseen action recognition Y Zhu, Y Long, Y Guan, S Newsam, L Shao Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 92 | 2018 |
| Resnest: Split-attention networks. arXiv 2020 H Zhang, C Wu, Z Zhang, Y Zhu, Z Zhang, H Lin, Y Sun, T He, J Mueller, ... arXiv preprint arXiv:2004.08955, 2004 | 60 | 2004 |
| Guided Optical Flow Learning Y Zhu, Z Lan, S Newsam, AG Hauptmann arXiv preprint arXiv:1702.02295, 2017 | 55 | 2017 |
| Improving semantic segmentation via efficient self-training Y Zhu, Z Zhang, C Wu, Z Zhang, T He, H Zhang, R Manmatha, M Li, ... IEEE transactions on pattern analysis and machine intelligence, 2021 | 54 | 2021 |
| Land use classification using convolutional neural networks applied to ground-level images Y Zhu, S Newsam Proceedings of the 23rd SIGSPATIAL International Conference on Advances in …, 2015 | 51 | 2015 |
| Domain Consensus Clustering for Universal Domain Adaptation G Li, G Kang, Y Zhu, Y Wei, Y Yang | 46 | 2021 |
| Depth2action: Exploring embedded depth for large-scale action recognition Y Zhu, S Newsam European Conference on Computer Vision (ECCV), 668-684, 2016 | 42 | 2016 |
| Fine-grained land use classification at the city scale using ground-level images Y Zhu, X Deng, S Newsam IEEE Transactions on Multimedia 21 (7), 1825-1838, 2019 | 36 | 2019 |
| Spatio-temporal sentiment hotspot detection using geotagged photos Y Zhu, S Newsam Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances …, 2016 | 36 | 2016 |
Shawn NewsamUniversity of California, MercedVerified email at ucmerced.edu
