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Stephen Tian
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2020 – today
- 2023
- [c11]Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu:
Learning to Design and Use Tools for Robotic Manipulation. CoRL 2023: 887-905 - [c10]Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu:
Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CVPR 2023: 9021-9031 - [c9]Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei:
MaskViT: Masked Visual Pre-Training for Video Prediction. ICLR 2023 - [c8]Stephen Tian, Chelsea Finn, Jiajun Wu:
A Control-Centric Benchmark for Video Prediction. ICLR 2023 - [c7]Klemen Kotar, Stephen Tian, Hong-Xing Yu, Dan Yamins, Jiajun Wu:
Are These the Same Apple? Comparing Images Based on Object Intrinsics. NeurIPS 2023 - [i13]Stephen Tian, Chelsea Finn, Jiajun Wu:
A Control-Centric Benchmark for Video Prediction. CoRR abs/2304.13723 (2023) - [i12]Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu:
Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CoRR abs/2306.08748 (2023) - [i11]Klemen Kotar, Stephen Tian, Hong-Xing Yu, Daniel L. K. Yamins, Jiajun Wu:
Are These the Same Apple? Comparing Images Based on Object Intrinsics. CoRR abs/2311.00750 (2023) - [i10]Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu:
Learning to Design and Use Tools for Robotic Manipulation. CoRR abs/2311.00754 (2023) - [i9]Roya Firoozi, Johnathan Tucker, Stephen Tian, Anirudha Majumdar, Jiankai Sun, Weiyu Liu, Yuke Zhu, Shuran Song, Ashish Kapoor, Karol Hausman, Brian Ichter, Danny Driess, Jiajun Wu, Cewu Lu, Mac Schwager:
Foundation Models in Robotics: Applications, Challenges, and the Future. CoRR abs/2312.07843 (2023) - 2022
- [i8]Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei:
MaskViT: Masked Visual Pre-Training for Video Prediction. CoRR abs/2206.11894 (2022) - 2021
- [c6]Aviral Kumar, Anikait Singh, Stephen Tian, Chelsea Finn, Sergey Levine:
A Workflow for Offline Model-Free Robotic Reinforcement Learning. CoRL 2021: 417-428 - [c5]Stephen Tian, Suraj Nair, Frederik Ebert, Sudeep Dasari, Benjamin Eysenbach, Chelsea Finn, Sergey Levine:
Model-Based Visual Planning with Self-Supervised Functional Distances. ICLR 2021 - [i7]Aviral Kumar, Anikait Singh, Stephen Tian, Chelsea Finn, Sergey Levine:
A Workflow for Offline Model-Free Robotic Reinforcement Learning. CoRR abs/2109.10813 (2021) - 2020
- [j1]Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian H. Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, Dinesh Jayaraman, Roberto Calandra:
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation. IEEE Robotics Autom. Lett. 5(3): 3838-3845 (2020) - [c4]Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn:
Learning Predictive Models from Observation and Interaction. ECCV (20) 2020: 708-725 - [c3]Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine:
OmniTact: A Multi-Directional High-Resolution Touch Sensor. ICRA 2020: 618-624 - [i6]Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine:
OmniTact: A Multi-Directional High Resolution Touch Sensor. CoRR abs/2003.06965 (2020) - [i5]Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian H. Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, Dinesh Jayaraman, Roberto Calandra:
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation. CoRR abs/2005.14679 (2020) - [i4]Stephen Tian, Suraj Nair, Frederik Ebert, Sudeep Dasari, Benjamin Eysenbach, Chelsea Finn, Sergey Levine:
Model-Based Visual Planning with Self-Supervised Functional Distances. CoRR abs/2012.15373 (2020)
2010 – 2019
- 2019
- [c2]Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn:
RoboNet: Large-Scale Multi-Robot Learning. CoRL 2019: 885-897 - [c1]Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine:
Manipulation by Feel: Touch-Based Control with Deep Predictive Models. ICRA 2019: 818-824 - [i3]Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine:
Manipulation by Feel: Touch-Based Control with Deep Predictive Models. CoRR abs/1903.04128 (2019) - [i2]Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn:
RoboNet: Large-Scale Multi-Robot Learning. CoRR abs/1910.11215 (2019) - [i1]Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn:
Learning Predictive Models From Observation and Interaction. CoRR abs/1912.12773 (2019)
Coauthor Index
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