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ORCIDDian Chen 0001
Person information
- affiliation: University of Texas, Austin, TX, USA
- affiliation (former): University of California, Berkeley, CA, USA
Other persons with the same name
- Dian Chen — disambiguation page
- Dian Chen 0002
![[0000-0001-8596-0243]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8596-0243")
— University of Chinese Academy of Sciences, Beijing, China - Dian Chen 0003 — Shanghai Jiao Tong University, Shanghai, China
- Dian Chen 0004 — Wuhan University, School of Cyber Science and Engineering, China
- Dian Chen 0005 — Toyota Research Institute, Los Altos, CA, USA (and 1 more)
- Dian Chen 0006 — Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China
- Dian Chen 0007 — Virginia Tech, Department of Computer Science, Falls Church, VA, USA
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2020 – today
- 2022
[c8]Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi:
Contrastive Test-Time Adaptation. CVPR 2022: 295-305- [c7]Dian Chen, Philipp Krähenbühl:
Learning from All Vehicles. CVPR 2022: 17201-17210 - [i8]Dian Chen, Philipp Krähenbühl:
Learning from All Vehicles. CoRR abs/2203.11934 (2022) - [i7]Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi:
Contrastive Test-Time Adaptation. CoRR abs/2204.10377 (2022) - 2021
- [c6]Dian Chen, Vladlen Koltun, Philipp Krähenbühl:
Learning to drive from a world on rails. ICCV 2021: 15570-15579 - [i6]Dian Chen, Vladlen Koltun, Philipp Krähenbühl:
Learning to drive from a world on rails. CoRR abs/2105.00636 (2021) - [i5]Michael Laielli, Giscard Biamby, Dian Chen, Adam Loeffler, Phat Dat Nguyen, Ross Luo, Trevor Darrell, Sayna Ebrahimi:
Region-level Active Learning for Cluttered Scenes. CoRR abs/2108.09186 (2021)
2010 – 2019
- 2019
- [c5]Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl:
Learning by Cheating. CoRL 2019: 66-75 - [i4]Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl:
Learning by Cheating. CoRR abs/1912.12294 (2019) - 2018
- [c4]Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik:
Learning Instance Segmentation by Interaction. CVPR Workshops 2018: 2042-2045 - [c3]Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell:
Zero-Shot Visual Imitation. CVPR Workshops 2018: 2050-2053 - [c2]Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell:
Zero-Shot Visual Imitation. ICLR 2018 - [i3]Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell:
Zero-Shot Visual Imitation. CoRR abs/1804.08606 (2018) - [i2]Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik:
Learning Instance Segmentation by Interaction. CoRR abs/1806.08354 (2018) - 2017
- [c1]Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine:
Combining self-supervised learning and imitation for vision-based rope manipulation. ICRA 2017: 2146-2153 - [i1]Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine:
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation. CoRR abs/1703.02018 (2017)
Coauthor Index
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