Stephen Tian

According to our database, Stephen Tian authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Foundation Models in Robotics: Applications, Challenges, and the Future.

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

CoRR, 2023

Are These the Same Apple? Comparing Images Based on Object Intrinsics.

Klemen Kotar, Stephen Tian, Hong-Xing Yu, Dan Yamins, Jiajun Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Control-Centric Benchmark for Video Prediction.

Stephen Tian, Chelsea Finn, Jiajun Wu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MaskViT: Masked Visual Pre-Training for Video Prediction.

Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multi-Object Manipulation via Object-Centric Neural Scattering Functions.

Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning to Design and Use Tools for Robotic Manipulation.

Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu

Proceedings of the Conference on Robot Learning, 2023

2021

Model-Based Visual Planning with Self-Supervised Functional Distances.

Stephen Tian, Suraj Nair, Frederik Ebert, Sudeep Dasari, Benjamin Eysenbach, Chelsea Finn, Sergey Levine

Proceedings of the 9th International Conference on Learning Representations, 2021

A Workflow for Offline Model-Free Robotic Reinforcement Learning.

Aviral Kumar, Anikait Singh, Stephen Tian, Chelsea Finn, Sergey Levine

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation.

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

IEEE Robotics Autom. Lett., 2020

OmniTact: A Multi-Directional High-Resolution Touch Sensor.

Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning Predictive Models from Observation and Interaction.

Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Manipulation by Feel: Touch-Based Control with Deep Predictive Models.

Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine

Proceedings of the International Conference on Robotics and Automation, 2019

RoboNet: Large-Scale Multi-Robot Learning.

Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn

Proceedings of the 3rd Annual Conference on Robot Learning, 2019