| 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 | 665 | 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 | 554 | 2017 |
| 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 | 436 | 2014 |
| 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 | 303 | 2018 |
| 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 | 232 | 2018 |
| Video compression through image interpolation CY Wu, N Singhal, P Krahenbuhl Proceedings of the European conference on computer vision (ECCV), 416-431, 2018 | 182 | 2018 |
| 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 | 68 | 2020 |
| Fashion++: Minimal Edits for Outfit Improvement WL Hsiao, I Katsman, CY Wu, D Parikh, K Grauman International Conference on Computer Vision (ICCV), 2019 | 55 | 2019 |
| A ConvNet for the 2020s Z Liu, H Mao, CY Wu, C Feichtenhofer, T Darrell, S Xie arXiv preprint arXiv:2201.03545, 2022 | 53 | 2022 |
| 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 | 36 | 2004 |
| Joint Training of Ratings and Reviews with Recurrent Recommender Networks CY Wu, A Ahmed, A Beutel, AJ Smola ICLR Workshop, 2016 | 29 | 2016 |
| Lossless image compression through super-resolution S Cao, CY Wu, P Krähenbühl arXiv preprint arXiv:2004.02872, 2020 | 23 | 2020 |
| 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 | 23 | 2016 |
| Masked Feature Prediction for Self-Supervised Visual Pre-Training C Wei, H Fan, S Xie, CY Wu, A Yuille, C Feichtenhofer arXiv preprint arXiv:2112.09133, 2021 | 22 | 2021 |
| Explaining reviews and ratings with paco: Poisson additive co-clustering CY Wu, A Beutel, A Ahmed, AJ Smola Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 21 | 2016 |
| Predicting latent structured intents from shopping queries CY Wu, A Ahmed, GR Kumar, R Datta Proceedings of the 26th International Conference on World Wide Web, 1133-1141, 2017 | 17 | 2017 |
| Doubly greedy primal-dual coordinate descent for sparse empirical risk minimization Q Lei, IEH Yen, C Wu, IS Dhillon, P Ravikumar International Conference on Machine Learning, 2034-2042, 2017 | 15 | 2017 |
| Towards long-form video understanding CY Wu, P Krahenbuhl Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 13 | 2021 |
| Improved multiscale vision transformers for classification and detection Y Li, CY Wu, H Fan, K Mangalam, B Xiong, J Malik, C Feichtenhofer arXiv preprint arXiv:2112.01526, 2021 | 12 | 2021 |
| Memory optimization for deep networks A Shah, CY Wu, J Mohan, V Chidambaram, P Krähenbühl arXiv preprint arXiv:2010.14501, 2020 | 4 | 2020 |
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