| 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 | 376 | 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 | 374 | 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 | 365 | 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 | 140 | 2018 |
| 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 | 124 | 2018 |
| Video compression through image interpolation CY Wu, N Singhal, P Krahenbuhl Proceedings of the European Conference on Computer Vision (ECCV), 416-431, 2018 | 97 | 2018 |
| Fashion++: Minimal Edits for Outfit Improvement WL Hsiao, I Katsman, CY Wu, D Parikh, K Grauman International Conference on Computer Vision (ICCV), 2019 | 23 | 2019 |
| Joint Training of Ratings and Reviews with Recurrent Recommender Networks CY Wu, A Ahmed, A Beutel, AJ Smola ICLR Workshop, 2016 | 18 | 2016 |
| 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 | 18 | 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 | 15 | 2016 |
| 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 | 14 | 2020 |
| 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 | 14 | 2017 |
| 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 | 10 | 2017 |
| Lossless image compression through super-resolution S Cao, CY Wu, P Krähenbühl arXiv preprint arXiv:2004.02872, 2020 | 4 | 2020 |
| Spectral methods for nonparametric models HYF Tung, CY Wu, M Zaheer, AJ Smola arXiv preprint arXiv:1704.00003, 2017 | 3 | 2017 |
| Additive co-clustering of gaussians and poissons for joint modeling of ratings and reviews CY Wu, A Beutel, A Ahmed, AJ Smola NIPS workshop on Nonparametric Methods for Large Scale Representation …, 2015 | 1 | 2015 |
| Memory Optimization for Deep Networks A Shah, CY Wu, J Mohan, V Chidambaram, P Krähenbühl arXiv preprint arXiv:2010.14501, 2020 | | 2020 |
| Long-Term Feature Banks for Detailed Video Understanding Download PDF CY Wu, C Feichtenhofer, H Fan, K He, P Krähenbühl, R Girshick | | |
| Fashion++: Minimal Edits for Outfit Improvement Open Website WL Hsiao, I Katsman, CY Wu, D Parikh, K Grauman | | |
| Supplementary Material: A Multigrid Method for Efficiently Training Video Models CY Wu, R Girshick, K He, C Feichtenhofer, P Krähenbühl | | |
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