Fangchen Liu

According to our database, Fangchen Liu authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

2024

MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting.

Fangchen Liu, Kuan Fang, Pieter Abbeel, Sergey Levine

CoRR, 2024

FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning.

Jianlan Luo, Charles Xu, Fangchen Liu, Liam Tan, Zipeng Lin, Jeffrey Wu, Pieter Abbeel, Sergey Levine

CoRR, 2024

2023

SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks.

Xingyu Lin, John So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel

CoRR, 2023

Chain-of-Thought Predictive Control.

Zhiwei Jia, Fangchen Liu, Vineet Thumuluri, Linghao Chen, Zhiao Huang, Hao Su

CoRR, 2023

The Wisdom of Hindsight Makes Language Models Better Instruction Followers.

Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez

Proceedings of the International Conference on Machine Learning, 2023

2022

Masked Autoencoding for Scalable and Generalizable Decision Making.

Fangchen Liu, Hao Liu, Aditya Grover, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards More Generalizable One-shot Visual Imitation Learning.

Mandi Zhao, Fangchen Liu, Kimin Lee, Pieter Abbeel

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator.

Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Masked World Models for Visual Control.

Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel

Proceedings of the Conference on Robot Learning, 2022

2020

State Alignment-based Imitation Learning.

Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su

Proceedings of the 8th International Conference on Learning Representations, 2020

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.

Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SAPIEN: A SimulAted Part-Based Interactive ENvironment.

Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Heat Source Forecast of Ball Screw Drive System Under Actual Working Conditions Based on On-Line Measurement of Temperature Sensors.

Zhenjun Li, Zechen Lu, Chunyu Zhao, Fangchen Liu, Ye Chen

Sensors, 2019

Thermal Performances Prediction Analysis of High Speed Feed Shaft Bearings Under Actual Working Condition.

Zhenjun Li, Chunyu Zhao, Zechen Lu, Fangchen Liu

IEEE Access, 2019

Mapping State Space using Landmarks for Universal Goal Reaching.

Zhiao Huang, Fangchen Liu, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adversarial Defense by Stratified Convolutional Sparse Coding.

Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling.

Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, Trevor Darrell

CoRR, 2018

2017

Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning.

Xiangyu Kong, Bo Xin, Fangchen Liu, Yizhou Wang

CoRR, 2017