Haozhi Qi

Email: hqi AT berkeley.edu
CV & 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 FAIR. My research lies at the intersection of robotics, computer vision, tactile sensing, and machine learning.
I received my Bachelor's degree from Hong Kong University of Science and Technology (HKUST), where I was advised by Prof. Chi-Keung Tang. I also spent two years at Microsoft Research Asia (MSRA), working on computer vision with Dr. Jifeng Dai and Dr. Yichen Wei.
I'm on the job market!

Activities

Papers (*indicates equal technical contribution)

Code Release Progress: 17 / 20 (85.0%).
From Simple to Complex Skills: The Case of In-Hand Object Reorientation
Haozhi Qi, Brent Yi, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
International Conference on Robotics and Automation (ICRA), 2025
[Paper] [Website]
Learning Visuotactile Skills with Two Multifingered Hands
Toru Lin, Yu Zhang*, Qiyang Li*, Haozhi Qi*, Brent Yi, Sergey Levine, Jitendra Malik
International Conference on Robotics and Automation (ICRA), 2025
[Paper] [Code] [Website] [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
International Conference on Robotics and Automation (ICRA), 2025
[Paper] [Website] [Summary]
Hand-Object Interaction Pretraining from Videos
Himanshu Gaurav Singh*, Antonio Loquercio*, Carlo Sferrazza, Jane Wu, Haozhi Qi, Pieter Abbeel, Jitendra Malik
International Conference on Robotics and Automation (ICRA), 2025
[Paper] [Code] [Website] [Summary]
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] [Code] [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, Joseph Ortiz, Mustafa Mukadam
Science Robotics, Nov 2024 (Journal Cover)
[Paper] [Code] [Website] [Video]
Digitizing Touch with an Artificial Multimodal Fingertip
Mike Lambeta, Tingfan Wu, Ali Sengül, Victoria Rose Most, Nolan Black, Kevin Sawyer, Romeo Mercado, Haozhi Qi, Alexander Sohn, Byron Taylor, Norb Tydingco, Gregg Kammerer, Dave Stroud, Jake Khatha, Kurt Jenkins, Kyle Most, Neal Stein, Ricardo Chavira, Thomas Craven-Bartle, Eric Sanchez, Yitian Ding, Jitendra Malik, Roberto Calandra
Tech Report, Nov 2024
[Paper] [Code] [Website]
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]
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]