| A convnet for the 2020s Z Liu, H Mao, CY Wu, C Feichtenhofer, T Darrell, S Xie Proceedings of the IEEE/CVF conference on computer vision and pattern
, 2022 | 6277 | 2022 |
| Sampling Matters in Deep Embedding Learning CY Wu, R Manmatha, AJ Smola, P Krähenbühl Computer Vision (ICCV), 2017 IEEE International Conference on, 2859-2867, 2017 | 1125 | 2017 |
| Recurrent Recommender Networks CY Wu, A Ahmed, A Beutel, AJ Smola, H Jing Proceedings of the Tenth ACM International Conference on Web Search and Data
, 2017 | 847 | 2017 |
| Mvitv2: Improved multiscale vision transformers for classification and detection Y Li, CY Wu, H Fan, K Mangalam, B Xiong, J Malik, C Feichtenhofer Proceedings of the IEEE/CVF conference on computer vision and pattern
, 2022 | 784 | 2022 |
| Masked feature prediction for self-supervised visual pre-training C Wei, H Fan, S Xie, CY Wu, A Yuille, C Feichtenhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2022 | 697 | 2022 |
| Long-Term Feature Banks for Detailed Video Understanding CY Wu, C Feichtenhofer, H Fan, K He, P Krähenbühl, R Girshick Computer Vision and Pattern Recognition (CVPR), 2019 IEEE Conference on, 2018 | 594 | 2018 |
| Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS) Q Diao, M Qiu, CY Wu, AJ Smola, J Jiang, C Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge
, 2014 | 543 | 2014 |
| Compressed video action recognition CY Wu, M Zaheer, H Hu, R Manmatha, AJ Smola, P Krähenbühl Proceedings of the IEEE conference on computer vision and pattern
, 2018 | 409 | 2018 |
| Video compression through image interpolation CY Wu, N Singhal, P Krahenbuhl Proceedings of the European conference on computer vision (ECCV), 416-431, 2018 | 390 | 2018 |
| Memvit: Memory-augmented multiscale vision transformer for efficient long-term video recognition CY Wu, Y Li, K Mangalam, H Fan, B Xiong, J Malik, C Feichtenhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2022 | 219 | 2022 |
| Sam 2: Segment anything in images and videos N Ravi, V Gabeur, YT Hu, R Hu, C Ryali, T Ma, H Khedr, R Rädle, ... arXiv preprint arXiv:2408.00714, 2024 | 212 | 2024 |
| Towards long-form video understanding CY Wu, P Krahenbuhl Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2021 | 160 | 2021 |
| A multigrid method for efficiently training video models CY Wu, R Girshick, K He, C Feichtenhofer, P Krahenbuhl Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2020 | 119 | 2020 |
| Fashion++: Minimal Edits for Outfit Improvement WL Hsiao, I Katsman, CY Wu, D Parikh, K Grauman International Conference on Computer Vision (ICCV), 2019 | 107 | 2019 |
| Multiview compressive coding for 3D reconstruction CY Wu, J Johnson, J Malik, C Feichtenhofer, G Gkioxari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2023 | 67 | 2023 |
| Reversible vision transformers K Mangalam, H Fan, Y Li, CY Wu, B Xiong, C Feichtenhofer, J Malik Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2022 | 53 | 2022 |
| Lossless image compression through super-resolution S Cao, CY Wu, P Krähenbühl arXiv preprint arXiv:2004.02872, 2020 | 46 | 2020 |
| Joint Training of Ratings and Reviews with Recurrent Recommender Networks CY Wu, A Ahmed, A Beutel, AJ Smola ICLR Workshop, 2016 | 41 | 2016 |
| Using navigation to improve recommendations in real-time CY Wu, CV Alvino, AJ Smola, J Basilico Proceedings of the 10th ACM Conference on Recommender Systems, 341-348, 2016 | 35 | 2016 |
| Memory optimization for deep networks A Shah, CY Wu, J Mohan, V Chidambaram, P Krähenbühl arXiv preprint arXiv:2010.14501, 2020 | 29 | 2020 |
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