Haozhi Qi

Email: hqi AT berkeley.edu
Google Scholar & GitHub & Twitter
I am a Ph.D. Candidate at UC Berkeley advised by Prof. Yi Ma and Prof. Jitendra Malik, and a visiting researcher at Meta AI. My research focuses on the intersection of robotics, computer vision, tactile sensing, and machine learning. I am particularly interested in developing algorithms for generalizable and robust robot manipulation via the integration of deep learning and visuotactile sensing.
I obtained my Bachelor's degree from Hong Kong University of Science and Technology (HKUST) advised by Prof. Chi-Keung Tang. I also spent two years in Microsoft Research Asia (MSRA) where I was a research intern advised by Dr. Jifeng Dai and Dr. Yichen Wei.

Activities

Papers (*indicates equal technical contribution)

Code Release Progress: 14 / 18 (77.8%).
Lessons from Learning to Spin “Pens”
Jun Wang*, Ying Yuan*, Haichuan Che*, Haozhi Qi*, Yi Ma, Jitendra Malik, Xiaolong Wang
Conference on Robot Learning (CoRL), 2024
[Paper] [Code] [Website] [Summary]
Twisting Lids Off with Two Hands
Toru Lin*, Zhao-Heng Yin*, Haozhi Qi, Pieter Abbeel, Jitendra Malik
Conference on Robot Learning (CoRL), 2024
[Paper] [Website] [Video] [Summary]
Hand-Object Interaction Pretraining from Videos
Himanshu Gaurav Singh*, Antonio Loquercio*, Carlo Sferrazza, Jane Wu, Haozhi Qi, Pieter Abbeel, Jitendra Malik
Tech Report, Sep 2024
[Paper] [Website] [Code] [Summary]
Learning In-Hand Translation Using Tactile Skin With Shear and Normal Force Sensing
Jessica Yin, Haozhi Qi, Jitendra Malik, James Pikul, Mark Yim, Tess Hellebrekers
Tech Report, Jul 2024
[Paper] [Website] [Summary]
Learning Visuotactile Skills with Two Multifingered Hands
Toru Lin, Yu Zhang*, Qiyang Li*, Haozhi Qi*, Brent Yi, Sergey Levine, Jitendra Malik
Tech Report, Apr 2024
[Paper] [Code] [Website] [Summary]
General In-Hand Object Rotation with Vision and Touch
Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
Conference on Robot Learning (CoRL), 2023
[Paper] [Website] [Video] [Summary]
Neural feels with Neural Fields: Visuo-tactile Perception for In-Hand Manipulation
Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joe Ortiz, Mustafa Mukadam
Tech Report, Dec 2023
[Paper] [Website] [Video]
Perceiving Extrinsic Contacts from Touch Improves Learning Insertion Policies
Carolina Higuera, Joseph Ortiz, Haozhi Qi, Luis Pineda, Byron Boots, Mustafa Mukadam
Tech Report, Sep 2023
[Paper] [Code] [Video] [Summary]
In-Hand Object Rotation via Rapid Motor Adaptation
Haozhi Qi*, Ashish Kumar*, Roberto Calandra, Yi Ma, Jitendra Malik
Conference on Robot Learning (CoRL), 2022
[Paper] [Code] [Website] [Video] [Summary]
Outstanding Demo Award at NeurIPS 2023 Robot Learning Workshop
Coupling Vision and Proprioception for Navigation of Legged Robots
Zipeng Fu*, Ashish Kumar*, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak
Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] [Code] [Website] [Video] [Summary]
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
Kwan Ho Ryan Chan*, Yaodong Yu*, Chong You*, Haozhi Qi, John Wright, Yi Ma
Journal of Machine Learning Research (JMLR), accepted in 2022
[Paper] [Code] [Summary]
Ours
GT
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik
International Conference on Learning Representations (ICLR), 2021
[Paper] [Code] [Website] [Summary]
Deep Isometric Learning for Visual Recognition
Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik
International Conference on Machine Learning (ICML), 2020
[Paper] [Code] [Website] [Video] [Summary]
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution
Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma
Neural Information Processing System (NIPS), 2019
[Paper] [Code]
Learning to Reconstruct 3D Manhattan Wireframes from a Single Image
Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma
International Conference on Computer Vision (ICCV), 2019 (Oral, 4.3% acceptance rate)
[Paper] [Code]
End-to-End Wireframe Parsing
Yichao Zhou, Haozhi Qi, Yi Ma
International Conference on Computer Vision (ICCV), 2019
[Paper] [Code]
Deformable Convolutional Networks
Jifeng Dai*, Haozhi Qi*, Yuwen Xiong*, Yi Li*, Guodong Zhang*, Han Hu, Yichen Wei
International Conference on Computer Vision (ICCV), 2017 (Oral, 2.1% acceptance rate)
[Paper] [Code]
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li*, Haozhi Qi*, Jifeng Dai, Xiangyang Ji, Yichen Wei
Computer Vision and Pattern Recognition (CVPR), 2017 (Spotlight, 8.0% acceptance rate)
[Paper] [Code]