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2020 – today

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2024
[c22]
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Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu:
PointInfinity: Resolution-Invariant Point Diffusion Models. CVPR 2024: 10050-10060
[i19]
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  - journals/corr/abs-2404-03566
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Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu:
PointInfinity: Resolution-Invariant Point Diffusion Models. CoRR abs/2404.03566 (2024)
[i18]
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  - journals/corr/abs-2408-00714
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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:
SAM 2: Segment Anything in Images and Videos. CoRR abs/2408.00714 (2024)
2023
[c21]
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Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari:
Multiview Compressive Coding for 3D Reconstruction. CVPR 2023: 9065-9075
[i17]
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  - journals/corr/abs-2301-08247
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Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari:
Multiview Compressive Coding for 3D Reconstruction. CoRR abs/2301.08247 (2023)
[i16]
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  - journals/corr/abs-2302-04869
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Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik:
Reversible Vision Transformers. CoRR abs/2302.04869 (2023)
2022
[c20]
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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: 4794-4804
[c19]
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Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik:
Reversible Vision Transformers. CVPR 2022: 10820-10830
[c18]
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Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie:
A ConvNet for the 2020s. CVPR 2022: 11966-11976
[c17]
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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: 13577-13587
[c16]
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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: 14648-14658
[i15]
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  - journals/corr/abs-2201-03545
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Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie:
A ConvNet for the 2020s. CoRR abs/2201.03545 (2022)
[i14]
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  - journals/corr/abs-2201-08383
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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 abs/2201.08383 (2022)
2021
[c15]
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Chao-Yuan Wu, Philipp Krähenbühl:
Towards Long-Form Video Understanding. CVPR 2021: 1884-1894
[c14]
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  - conf/iclr/ShahWMCK21
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Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl:
Memory Optimization for Deep Networks. ICLR 2021
[i13]
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  - journals/corr/abs-2106-11310
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Chao-Yuan Wu, Philipp Krähenbühl:
Towards Long-Form Video Understanding. CoRR abs/2106.11310 (2021)
[i12]
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  - journals/corr/abs-2112-01526
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Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
Improved Multiscale Vision Transformers for Classification and Detection. CoRR abs/2112.01526 (2021)
[i11]
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  - journals/corr/abs-2112-09133
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Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer:
Masked Feature Prediction for Self-Supervised Visual Pre-Training. CoRR abs/2112.09133 (2021)
2020
[c13]
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  - conf/cvpr/WuGHFK20
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Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl:
A Multigrid Method for Efficiently Training Video Models. CVPR 2020: 150-159
[i10]
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  - journals/corr/abs-2004-02872
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Sheng Cao, Chao-Yuan Wu, Philipp Krähenbühl:
Lossless Image Compression through Super-Resolution. CoRR abs/2004.02872 (2020)
[i9]
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  - journals/corr/abs-2010-14501
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Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl:
Memory Optimization for Deep Networks. CoRR abs/2010.14501 (2020)

2010 – 2019

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2019
[c12]
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  - conf/cvpr/WuF0HKG19
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Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick:
Long-Term Feature Banks for Detailed Video Understanding. CVPR 2019: 284-293
[c11]
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  - conf/iccv/HsiaoKWPG19
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Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman:
Fashion++: Minimal Edits for Outfit Improvement. ICCV 2019: 5046-5055
[i8]
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  - journals/corr/abs-1904-09261
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Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman:
Fashion++: Minimal Edits for Outfit Improvement. CoRR abs/1904.09261 (2019)
[i7]
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  - journals/corr/abs-1912-00998
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Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl:
A Multigrid Method for Efficiently Training Video Models. CoRR abs/1912.00998 (2019)
2018
[c10]
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  - conf/cvpr/WuZHMSK18
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Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl:
Compressed Video Action Recognition. CVPR 2018: 6026-6035
[c9]
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  - conf/eccv/WuSK18
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Chao-Yuan Wu, Nayan Singhal, Philipp Krähenbühl:
Video Compression Through Image Interpolation. ECCV (8) 2018: 425-440
[i6]
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  - journals/corr/abs-1804-06919
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Chao-Yuan Wu, Nayan Singhal, Philipp Krähenbühl:
Video Compression through Image Interpolation. CoRR abs/1804.06919 (2018)
[i5]
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  - journals/corr/abs-1812-05038
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Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick:
Long-Term Feature Banks for Detailed Video Understanding. CoRR abs/1812.05038 (2018)
2017
[c8]
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  - conf/iccv/ManmathaWSK17
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R. Manmatha, Chao-Yuan Wu, Alexander J. Smola, Philipp Krähenbühl:
Sampling Matters in Deep Embedding Learning. ICCV 2017: 2859-2867
[c7]
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Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola:
Joint Training of Ratings and Reviews with Recurrent Recommender Networks. ICLR (Workshop) 2017
[c6]
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  - conf/icml/LeiYWDR17
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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: 2034-2042
[c5]
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  - conf/wsdm/WuABSJ17
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Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola, How Jing:
Recurrent Recommender Networks. WSDM 2017: 495-503
[c4]
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  - conf/www/WuAKD17
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Chao-Yuan Wu, Amr Ahmed, Gowtham Ramani Kumar, Ritendra Datta:
Predicting Latent Structured Intents from Shopping Queries. WWW 2017: 1133-1141
[i4]
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  - journals/corr/TungWZS17
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Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J. Smola:
Spectral Methods for Nonparametric Models. CoRR abs/1704.00003 (2017)
[i3]
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Chao-Yuan Wu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl:
Sampling Matters in Deep Embedding Learning. CoRR abs/1706.07567 (2017)
[i2]
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  - journals/corr/abs-1712-00636
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Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl:
Compressed Video Action Recognition. CoRR abs/1712.00636 (2017)
2016
[c3]
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  - conf/recsys/WuASB16
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Chao-Yuan Wu, Christopher V. Alvino, Alexander J. Smola, Justin Basilico:
Using Navigation to Improve Recommendations in Real-Time. RecSys 2016: 341-348
[c2]
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  - conf/www/WuBAS16
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Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J. Smola:
Explaining Reviews and Ratings with PACO: Poisson Additive Co-Clustering. WWW (Companion Volume) 2016: 127-128
2015
[i1]
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  - journals/corr/WuBAS15
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Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J. Smola:
Explaining reviews and ratings with PACO: Poisson Additive Co-Clustering. CoRR abs/1512.01845 (2015)
2014
[c1]
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  - conf/kdd/DiaoQWSJW14
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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: 193-202

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