Hanzhe Hu

Hanzhe Hu

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hanzheh [at] cs.cmu.edu, huhz [at] pku.edu.cn

I am a PhD student at School of Computer Science of Carnegie Mellon University, adviced by Prof. Shubham Tulsiani. I am a part of CMU Computer Vision Group. I obtained my Master's degree in Computer Science from School of EECS of Peking University, where I was fortunate to be adviced by Prof. Liwei Wang. I also spent some wonderful time working with Dr. Han Hu at Microsoft Research Asia (MSRA) and Prof. Xiaolong Wang at UCSD.

My research interests are computer vision, computer graphics and machine learning, especially 3D vision, scene understanding and label-efficient learning.

I am always open to research collaborations. Feel free to contact me.

News

(02/2024) One paper is accepted by CVPR2024!
(08/2022) I started my PhD at CMU SCS.
(07/2022) One paper is accepted by ECCV2022!
(06/2022) I graduated from Peking University!
(11/2021) Two papers are submitted to CVPR2022.
(09/2021) One paper is accepted by NeurIPS2021 as Spotlight!
(07/2021) One paper is accepted by ICCV2021!
(07/2021) I am selected as "Top 10 Outstanding Researcher" (学术十杰), EECS of Peking University!
(05/2021) One paper is submitted to NeurIPS2021.
(03/2021) One paper is accepted by CVPR2021!
(12/2020) One paper is accepted by AAAI2021!
(07/2020) One paper is accepted by ECCV2020!
(06/2020) One paper is accepted by ICPR2020.
(03/2020) One paper is accepted by CVPR2020!
(09/2019) I began my graudate study in CS at PKU.

Publications (Full list can be found here.)

		MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation Hanzhe Hu, Zhizhuo Zhou, Varun Jampani, Shubham Tulsiani IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 [Paper] [Project] [Code]
		Learning Implicit Feature Alignment Function for Semantic Segmentation Hanzhe Hu, Yinbo Chen, Jiarui Xu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang European Conference on Computer Vision (ECCV), 2022 [Paper] [Code]
		Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang Neural Information Processing Systems (NeurIPS), 2021 (Spotlight) [Paper] [Code]
		Region-aware Contrastive Learning for Semantic Segmentation Hanzhe Hu, Jinshi Cui, Liwei Wang International Conference in Computer Vision (ICCV), 2021 [Paper] [Code]
		Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection Hanzhe Hu, Shuai Bai, Aoxue Li, Jinshi Cui, Liwei Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [Paper] [Code]
		Context-aware Graph Convolution Network for Target Re-identification Deyi Ji, Haoran Wang, Hanzhe Hu, Weihao Gan, Wei Wu, Junjie Yan AAAI Conference on Aritifical Intelligence (AAAI), 2021 [Paper]
		Class-wise Dynamic Graph Convolution for Semantic Segmentation Hanzhe Hu, Deyi Ji, Weihao Gan, Shuai Bai, Wei Wu, Junjie Yan European Conference on Computer Vision (ECCV), 2020 [Paper]
		Boundary-aware Graph Convolution for Semantic Segmentation Hanzhe Hu, Jinshi Cui, Hongbin Zha International Conference on Pattern Recognition (ICPR), 2020 [Paper]
		Adaptive Dilated Network with Self-Correction Supervision for Counting Shuai Bai, Zhiqun He, Yu Qiao, Hanzhe Hu, Wei Wu, Junjie Yan IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 [Paper]

Thesis

Label-Efficient Learning for Object Recognition
Hanzhe Hu
Master's Thesis, Peking University, 2022

Academic Services

Conference Reviewer
- Advances in Neural Information Processing Systems (NeurIPS)
- International Conference on Machine Learning (ICML)
- International Conference on Learning Representations (ICLR)
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- European Conference on Computer Vision (ECCV)
- International Conference on Computer Vision (ICCV)
- British Machine Vision Conference (BMVC)
- Winter Conference on Applications of Computer Vision (WACV)
Journal Reviewer
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Image Processing (TIP)
- Springer - International Journal of Computer Vision (IJCV)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
- Elsevier - Neurocomputing

Honors and Awards

Award for Academic Innovation, Peking University, 2021
Merit Student of Peking University, 2021
Top 10 Outstanding Researcher (学术十杰), EECS, Peking University, 2021
HUAWEI Scholarship (top 2%), 2021
Scholarship for Outstanding Research, 2020
Peking University Scholarship, 2019
Xingquan Scholarship, Nanjing University, 2018
Scholarship for Outstanding Student, Nanjing University, 2018

Misc

I love traveling and reading books.