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Journal Articles
- 2020
[j1]Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper R. R. Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, Tom Duerig, Vittorio Ferrari:
The Open Images Dataset V4. Int. J. Comput. Vis. 128(7): 1956-1981 (2020)
Conference and Workshop Papers
- 2024
- [c5]Imad Eddine Toubal, Aditya Avinash, Neil Gordon Alldrin, Jan Dlabal, Wenlei Zhou, Enming Luo, Otilia Stretcu, Hao Xiong, Chun-Ta Lu, Howard Zhou, Ranjay Krishna, Ariel Fuxman, Tom Duerig:
Modeling Collaborator: Enabling Subjective Vision Classification with Minimal Human Effort via LLM Tool-Use. CVPR 2024: 17553-17563 - 2021
- [c4]Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yun-Hsuan Sung, Zhen Li, Tom Duerig:
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision. ICML 2021: 4904-4916 - 2020
- [c3]Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi:
Ultra Fine-Grained Image Semantic Embedding. WSDM 2020: 277-285 - 2016
- [c2]Calvin Murdock, Zhen Li, Howard Zhou
, Tom Duerig:
Blockout: Dynamic Model Selection for Hierarchical Deep Networks. CVPR 2016: 2583-2591 - [c1]Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei:
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. ECCV (3) 2016: 301-320
Informal and Other Publications
- 2024
- [i8]Imad Eddine Toubal, Aditya Avinash, Neil Gordon Alldrin, Jan Dlabal, Wenlei Zhou, Enming Luo, Otilia Stretcu, Hao Xiong, Chun-Ta Lu, Howard Zhou, Ranjay Krishna, Ariel Fuxman, Tom Duerig:
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use. CoRR abs/2403.02626 (2024) - 2021
- [i7]Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yun-Hsuan Sung, Zhen Li, Tom Duerig:
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision. CoRR abs/2102.05918 (2021) - [i6]Chun-Ta Lu, Yun Zeng, Da-Cheng Juan, Yicheng Fan, Zhe Li, Jan Dlabal, Yi-Ting Chen, Arjun Gopalan, Allan Heydon, Chun-Sung Ferng, Reah Miyara, Ariel Fuxman, Futang Peng, Zhen Li, Tom Duerig, Andrew Tomkins:
CARLS: Cross-platform Asynchronous Representation Learning System. CoRR abs/2105.12849 (2021) - 2020
- [i5]Yang Feng, Futang Peng, Xu Zhang, Wei Zhu, Shanfeng Zhang, Howard Zhou, Zhen Li, Tom Duerig, Shih-Fu Chang, Jiebo Luo:
Unifying Specialist Image Embedding into Universal Image Embedding. CoRR abs/2003.03701 (2020) - 2019
- [i4]Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi:
Graph-RISE: Graph-Regularized Image Semantic Embedding. CoRR abs/1902.10814 (2019) - 2018
- [i3]Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper R. R. Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Tom Duerig, Vittorio Ferrari:
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale. CoRR abs/1811.00982 (2018) - 2015
- [i2]Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei:
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. CoRR abs/1511.06789 (2015) - [i1]Calvin Murdock, Zhen Li, Howard Zhou, Tom Duerig:
Blockout: Dynamic Model Selection for Hierarchical Deep Networks. CoRR abs/1512.05246 (2015)
Coauthor Index
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