Haozhi Qi

Email: hqi AT berkeley.edu
Google Scholar & GitHub Profile
I am a third-year Ph.D. Student at UC Berkeley advised by Prof. Yi Ma and Prof. Jitendra Malik. 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.

Papers (* indicates equal contribution)

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]
Deep Networks from the Principle of Rate Reduction
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
Tech report, arXiv, Oct. 2020
[Paper] [Code]
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]
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]
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]