Chao-Yuan Wu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 37

Top Topics

Diffusion Model

Movie Recommendation

Lossless Image Compression

Nonnegative Matrix Tri Factorization

Top Venues

Publications

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