About

Yunzhong Hou (侯云钟) is a research fellow at the Australian National University, collaborating closely with Prof. Tom Gedeon and Prof. Liang Zheng. Prior to that, he completed his PhD at the same university in 2023, under the esteemed guidance of Prof. Liang Zheng, Prof. Stephen Gould, and Prof. Hongdong Li. He earned a bachelor’s degree in electronic engineering from Tsinghua University in 2018.

Specializing in computer vision and deep learning, his current research interest lies in AI videography and photography, embodied agents, and 3D understanding. Yunzhong is actively involved in the academic community, contributing as a conference reviewer for prominent conferences such as CVPR, ECCV, ICCV, NeurIPS, ACM MM, and IJCAI. He also serves as a journal reviewer for respected publications like TPAMI, TIP, TMM, and TCSVT, and an area chair for ICASSP and ACM MM.

For more details, please find his CV here.

News

2024.12   Check out our latest work on drone videography, “Learning Camera Movement Control from Real-World Drone Videos“, where we take a different approach to AIGC and record the scene as is rather than creating from scratch. paper, code.

2024.10   I am serving as an Area Chair for ACM Multimedia 2024 [full program]. An honor to serve as Session Chair and host Oral Session 13 - Machine Learning for Multimedia with Prof. Chang Xu. Excited to present our latest work on AI drone videography at the ACM MM Area Chair Workshop for ACM MM 2024.

2024.07   Glad to present our latest work on AI drone videography at the International Research Workshop Data Science and AI & Robotics (DSAIR24) at University of Canberra following the invitation from Prof. Shuangzhe Liu.

2024.05   Our paper on color quantization and pixel art creation, “Scalable Deep Color Quantization: A Cluster Imitation Approach“, is accepted by IEEE Trans on Image Processing. paper, code.

2024.02   Our paper on camera configuration optimizaiton, “Learning to Select Views for Efficient Multi-View Understanding“, is accepted by CVPR 2024. See you in Seattle! paper, code.

2023.12   Our grant proposal “Privacy-Percerving Perception for Robotics” is awarded by the HMI seed grant for 25,000 AUD! Big thank you to Dylan, Rahul, and Mike!

Research Papers

Learning to Select Camera Views: Efficient Multiview Understanding at Few Glances
Yunzhong Hou, Stephen Gould, Liang Zheng,
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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Scalable Deep Color Quantization: a Cluster Imitation Approach
Yunzhong Hou, Stephen Gould, Liang Zheng,
IEEE Transaction on Image Processing (IEEE TIP), 2024
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View-coherent correlation consistency for semi-supervised semantic segmentation
Yunzhong Hou, Stephen Gould, Liang Zheng,
Pattern Recognition (PR), 2024
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Optimizing Camera Configurations for Multi-View Pedestrian Detection
Yunzhong Hou, Xingjian Leng, Tom Gedeon, Liang Zheng,
arXiv preprint, 2023
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Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking
Yunzhong Hou, Zhongdao Wang, Shengjin Wang, Liang Zheng
IEEE Transaction on Image Processing (IEEE TIP), 2022
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Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)
Yunzhong Hou, Liang Zheng
ACM Multimedia (ACM MM), 2021
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Ranking Models in Unlabeled New Environments
Xiaoxiao Sun, Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng
International Conference on Computer Vision (ICCV), 2021
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Visualizing Adapted Knowledge in Domain Transfer
Yunzhong Hou, Liang Zheng
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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Multiview Pedestrian Detection with Feature Perspective Transformation
Yunzhong Hou, Liang Zheng, Stephen Gould
European Conference on Computer Vision (ECCV), 2020
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Learning to Structure an Image with Few Colors
Yunzhong Hou, Liang Zheng, Stephen Gould
Conference on Computer Vision and Pattern Recognition (CVPR), 2020
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Contact

Please contact me via e-mail.