Chao-Yuan Wu

Publications

2023
	Multiview Compressive Coding for 3D Reconstruction Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari CVPR, 2023 [paper] [project page] [code]
2022
	MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer* CVPR, 2022 (Oral) [paper] [code]
	Improved Multiscale Vision Transformers for Classification and Detection Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer* CVPR, 2022 [paper] [code]
	A ConvNet for the 2020s Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie CVPR, 2022 [paper] [code & models]
	Masked Feature Prediction for Self-Supervised Visual Pre-Training Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan Yuille, Christoph Feichtenhofer CVPR, 2022 [paper] [code]
	Reversible Vision Transformers Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik CVPR, 2022 (Oral) [paper] [project page] [code]
2021
	Towards Long-Form Video Understanding Chao-Yuan Wu, Philipp Krähenbühl CVPR, 2021 [paper] [project page & dataset] [code & models]
	Memory Optimization for Deep Networks Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl ICLR, 2021 (Spotlight) [paper] [code]
2020
	Lossless Image Compression through Super-Resolution Sheng Cao, Chao-Yuan Wu, Philipp Krähenbühl arXiv, 2020 [paper] [code & models]
	A Multigrid Method for Efficiently Training Video Models Chao-Yuan Wu, Ross Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl CVPR, 2020 (Oral) [paper] [code & models]
2019
	Fashion++: Minimal Edits for Outfit Improvement Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman ICCV, 2019 [paper] [code & models] Media coverage: [Facebook AI Blog] [Vogue] [VentureBeat] [WIRED] [deeplearning.ai]
	Long-Term Feature Banks for Detailed Video Understanding Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross Girshick CVPR, 2019 (Oral) [paper] [code & models] [CVPR oral talk]
2018
	Video Compression through Image Interpolation Chao-Yuan Wu, Nayan Singhal, Philipp Krähenbühl ECCV, 2018 [paper] [details] [code & models]
	Compressed Video Action Recognition Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J Smola, Philipp Krähenbühl CVPR, 2018 (Spotlight) [paper] [details] [code] [spotlight talk]
2017 or earlier
	Sampling Matters in Deep Embedding Learning Chao-Yuan Wu, R Manmatha, Alexander J Smola, Philipp Krähenbühl ICCV, 2017 [paper] [details] [code] [code (third-party 1)] [code (third-party 2)]
	Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization Qi Lei, Ian En-Hsu Yen, Chao-Yuan Wu, Inderjit S Dhillon, Pradeep Ravikumar ICML, 2017
	Recurrent Recommender Networks Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J Smola, How Jing WSDM, 2017
	Predicting Latent Structured Intents from Shopping Queries Chao-Yuan Wu, Amr Ahmed, Gowtham Ramani Kumar, Ritendra Datta WWW, 2017
	Joint Training of Ratings and Reviews with Recurrent Recommender Networks Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J Smola ICLR, 2017 Workshop
	Spectral Methods for Nonparametric Models Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J Smola arXiv preprint, 2017
	Explaining reviews and ratings with PACO: Poisson Additive Co-Clustering Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J Smola WWW, 2016 (Poster)
	Using Navigation to Improve Recommendations in Real-time Chao-Yuan Wu, Christopher V Alvino, Alexander J Smola, Justin Basilico RecSys, 2016
	Jointly Modeling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS) Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J Smola, Jing Jiang, Chong Wang KDD, 2014