I currently work at World Labs as a member of technical staff.
I was a Research Scientist in FAIR, Meta from 2021 to 2023.
I received my CS PhD from UT Austin, advised by Philipp Krähenbühl.
I did my M.S. at MLD, CMU, advised by Alex Smola.
I received the Facebook Fellowship in 2019.
email / CV / Google Scholar / Twitter
2024 | |
|
SAM 2: Segment Anything in Images and Videos
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollár, Christoph Feichtenhofer arXiv, 2024 [paper] [website] [demo] [code] |
|
 |
PointInfinity: Resolution-Invariant Point Diffusion Models
Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu CVPR, 2024 [paper] [website] [code] |
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 |