Chao-Yuan Wu

42 papers A* 18A 2Journal 19Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
SAM 2: Segment Anything in Images and Videos.
ICLR
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloé Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross B. Girshick, Piotr Dollár, Christoph Feichtenhofer
2024 A* conf
PointInfinity: Resolution-Invariant Point Diffusion Models.
CVPR
Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu
2024 J jnl
PointInfinity: Resolution-Invariant Point Diffusion Models.
CoRR
Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu
2024 J jnl
SAM 2: Segment Anything in Images and Videos.
CoRR
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloé Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross B. Girshick, Piotr Dollár, Christoph Feichtenhofer
2023 A* conf
Multiview Compressive Coding for 3D Reconstruction.
CVPR
Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari
2023 J jnl
Multiview Compressive Coding for 3D Reconstruction.
CoRR
Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari
2023 J jnl
Reversible Vision Transformers.
CoRR
Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik
2022 A* conf
A ConvNet for the 2020s.
CVPR
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie
2022 J jnl
A ConvNet for the 2020s.
CoRR
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie
2022 A* conf
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection.
CVPR
Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
2022 A* conf
Masked Feature Prediction for Self-Supervised Visual Pre-Training.
CVPR
Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer
2022 A* conf
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition.
CVPR
Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
2022 J jnl
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition.
CoRR
Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
2022 A* conf
Reversible Vision Transformers.
CVPR
Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik
2021 J jnl
Improved Multiscale Vision Transformers for Classification and Detection.
CoRR
Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
2021 J jnl
Masked Feature Prediction for Self-Supervised Visual Pre-Training.
CoRR
Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer
2021 A* conf
Memory Optimization for Deep Networks.
ICLR
Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl
2021 A* conf
Towards Long-Form Video Understanding.
CVPR
Chao-Yuan Wu, Philipp Krähenbühl
2021 J jnl
Towards Long-Form Video Understanding.
CoRR
Chao-Yuan Wu, Philipp Krähenbühl
2020 A* conf
A Multigrid Method for Efficiently Training Video Models.
CVPR
Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl
2020 J jnl
Lossless Image Compression through Super-Resolution.
CoRR
Sheng Cao, Chao-Yuan Wu, Philipp Krähenbühl
2020 J jnl
Memory Optimization for Deep Networks.
CoRR
Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl
2019 J jnl
A Multigrid Method for Efficiently Training Video Models.
CoRR
Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl
2019 A* conf
Fashion++: Minimal Edits for Outfit Improvement.
ICCV
Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman
2019 J jnl
Fashion++: Minimal Edits for Outfit Improvement.
CoRR
Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman
2019 A* conf
Long-Term Feature Banks for Detailed Video Understanding.
CVPR
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick
2018 A* conf
Compressed Video Action Recognition.
CVPR
Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl
2018 J jnl
Long-Term Feature Banks for Detailed Video Understanding.
CoRR
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick
2018 — conf
Video Compression Through Image Interpolation.
ECCV (8)
Chao-Yuan Wu, Nayan Singhal, Philipp Krähenbühl
2018 J jnl
Video Compression through Image Interpolation.
CoRR
Chao-Yuan Wu, Nayan Singhal, Philipp Krähenbühl
2017 J jnl
Compressed Video Action Recognition.
CoRR
Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl
2017 A* conf
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization.
ICML
Qi Lei, Ian En-Hsu Yen, Chao-Yuan Wu, Inderjit S. Dhillon, Pradeep Ravikumar
2017 — conf
Joint Training of Ratings and Reviews with Recurrent Recommender Networks.
ICLR (Workshop)
Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola
2017 A* conf
Predicting Latent Structured Intents from Shopping Queries.
WWW
Chao-Yuan Wu, Amr Ahmed, Gowtham Ramani Kumar, Ritendra Datta
2017 A conf
Recurrent Recommender Networks.
WSDM
Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola, How Jing
2017 A* conf
Sampling Matters in Deep Embedding Learning.
ICCV
R. Manmatha, Chao-Yuan Wu, Alexander J. Smola, Philipp Krähenbühl
2017 J jnl
Sampling Matters in Deep Embedding Learning.
CoRR
Chao-Yuan Wu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl
2017 J jnl
Spectral Methods for Nonparametric Models.
CoRR
Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J. Smola
2016 — conf
Explaining Reviews and Ratings with PACO: Poisson Additive Co-Clustering.
WWW (Companion Volume)
Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J. Smola
2016 A conf
Using Navigation to Improve Recommendations in Real-Time.
RecSys
Chao-Yuan Wu, Christopher V. Alvino, Alexander J. Smola, Justin Basilico
2015 J jnl
Explaining reviews and ratings with PACO: Poisson Additive Co-Clustering.
CoRR
Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J. Smola
2014 A* conf
Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS).
KDD
Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, Chong Wang