Kun Zhou 周昆

Ph.D. Student

Dept. of Computer and Information Engineering
The Chinese University of Hong Kong(Shenzhen)
Shenzhen, Guangdong, China

Email-1: zhoukun AT gmail DOT com
Email-1: kunzhou AT link DOT cuhk DOT edu DOT cn

Biography

I am currently a second-year (2021-now) Ph.D. student in the Department of Computer and Information Engineering, the Chinese University of Hong Kong(Shenzhen), under the supervision of Prof. Xiaoguang Han and Prof. Jiangbo Lu. My research interests lie primarily in computer vision and machine learning. I have done some works about 3d human pose and shape estimation, super-resolution, inpainting, video restoration and frame interpolation.

News

[12/2023] One papers are accepted by TPAMI 2023.
[03/2023] Two papers are accepted by CVPR 2023.
[06/2022] Two papers are accepted by CVPR 2022. And one (MAT) is selected in the CVPR 2022 Best Paper Finalists.
[10/2021] One paper is accepted by AAAI 2022 as an oral persentation.

Selected Publications [Google Scholar]

	From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm Kun Zhou, Wenbo Li, Nianjuan Jiang, Xiaoguang Han, Jiangbo Lu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023 [project\|paper\|Video Demo]
	NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer Kun Zhou, Wenbo Li, Yi Wang, Tao Hu, Nianjuan Jiang, Xiaoguang Han, Jiangbo Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 [project\|paper\|Slides\|code]
	Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation Kun Zhou , Wenbo Li, Xiaoguang Han, Jiangbo Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 [paper]
	Image Inpainting via Iteratively Decoupled Probabilistic Modeling Wenbo Li, Xin Yu, Kun Zhou* , Yibing Song, Zhe Lin, Jiaya Jia* arXiv:2212.02963 [paper\|code]
	MAT: Mask-Aware Transformer for Large Hole Image Inpainting Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, Jiaya Jia IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Best Paper Finalists, Oral) [paper\|code\|Media Report\|Slides\|Poster]
	Revisiting Temporal Alignment for Video Restoration Kun Zhou, Wenbo Li, Liying Lu, Xiaoguang Han, Jiangbo Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 [paper\|code]
	Best-Buddy GANs for Highly Detailed Image Super-Resolution Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Jiangbo Lu, Jiaya Jia Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) 2022 (Oral) [paper\|code]
	Mutual Guidance and Residual Integration for Image Enhancement Kun Zhou, Wenbo Li, Xiaoguang Han, Jiangbo Lu arXiv:2211.13919 [paper]
	HEMlets posh: learning part-centric heatmap triplets for 3D human pose and shape estimation Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021 [paper]
	LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia Advances in Neural Information Processing Systems (NeurIPS) 2020 [paper\|code]
	Hemlets pose: Learning part-centric heatmap triplets for accurate 3d human pose estimation Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu International Conference on Computer Vision (ICCV) 2019 [project\|paper\|code]
	Adversarial 3d human pose estimation via multimodal depth supervision Kun Zhou, Jinmiao Cai, Yao Li, Yulong Shi, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu Ranked fourth in the ECCV2018 PoseTrack Challenge. [paper]
	Fbi-pose: Towards bridging the gap between 2d images and 3d human poses using forward-or-backward information Yulong Shi, Xiaoguang Han, Nianjuan Jiang, Kun Zhou* , Kui Jia, Jiangbo Lu* In 2018, Fbi-pose achieved the top ranking on the Human3.6M Benchmark (H36M_NOS10). [paper]
	Real-time collision detection method for fluid and cloth Hui Zang，Zhen Liu, Yanjie Chai，Tingting Liu, Kun Zhou Journal of Computer Aided Design and Graphics 2018 [paper]

Talk

AI-Time--Computer vision issues in the process of intelligent manufacturing industry upgrading

Academic Service

Journal Reviewer:

Conference Reviewer:

	From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm Kun Zhou, Wenbo Li, Nianjuan Jiang, Xiaoguang Han, Jiangbo Lu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023 [project\|paper\|Video Demo]
	NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer Kun Zhou, Wenbo Li, Yi Wang, Tao Hu, Nianjuan Jiang, Xiaoguang Han, Jiangbo Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 [project\|paper\|Slides\|code]
	Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation Kun Zhou , Wenbo Li, Xiaoguang Han, Jiangbo Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 [paper]
	Image Inpainting via Iteratively Decoupled Probabilistic Modeling Wenbo Li, Xin Yu, Kun Zhou* , Yibing Song, Zhe Lin, Jiaya Jia* arXiv:2212.02963 [paper\|code]
	MAT: Mask-Aware Transformer for Large Hole Image Inpainting Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, Jiaya Jia IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Best Paper Finalists, Oral) [paper\|code\|Media Report\|Slides\|Poster]
	Revisiting Temporal Alignment for Video Restoration Kun Zhou, Wenbo Li, Liying Lu, Xiaoguang Han, Jiangbo Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 [paper\|code]
	Best-Buddy GANs for Highly Detailed Image Super-Resolution Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Jiangbo Lu, Jiaya Jia Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) 2022 (Oral) [paper\|code]
	Mutual Guidance and Residual Integration for Image Enhancement Kun Zhou, Wenbo Li, Xiaoguang Han, Jiangbo Lu arXiv:2211.13919 [paper]
	HEMlets posh: learning part-centric heatmap triplets for 3D human pose and shape estimation Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021 [paper]
	LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia Advances in Neural Information Processing Systems (NeurIPS) 2020 [paper\|code]
	Hemlets pose: Learning part-centric heatmap triplets for accurate 3d human pose estimation Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu International Conference on Computer Vision (ICCV) 2019 [project\|paper\|code]
	Adversarial 3d human pose estimation via multimodal depth supervision Kun Zhou, Jinmiao Cai, Yao Li, Yulong Shi, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu Ranked fourth in the ECCV2018 PoseTrack Challenge. [paper]
	Fbi-pose: Towards bridging the gap between 2d images and 3d human poses using forward-or-backward information Yulong Shi, Xiaoguang Han, Nianjuan Jiang, Kun Zhou* , Kui Jia, Jiangbo Lu* In 2018, Fbi-pose achieved the top ranking on the Human3.6M Benchmark (H36M_NOS10). [paper]
	Real-time collision detection method for fluid and cloth Hui Zang，Zhen Liu, Yanjie Chai，Tingting Liu, Kun Zhou Journal of Computer Aided Design and Graphics 2018 [paper]