Kun Zhou 周昆

Ph.D.

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 obtained my Ph.D. in the Department of SSE, 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

[09/2024] One papers is accepted by NeurIPS 2024.
[06/2024] One papers is accepted by ECCV 2024.
[12/2023] One papers is 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.
[1/2021] One paper is accepted by TPAMI 2021.

Selected Publications [Google Scholar]

T-PAMI(2), CVPR(4), NeurIPS(2), ICCV(1), ECCV(1), AAAI(1), ICLR(1).

	UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond Kun Zhou,Xinyu Lin, Zhonghang Liu, Xiaoguang Han, Jiangbo Lu Conference on Neural Information Processing Systems (NeurIPS) 2024
	Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement Kun Zhou,Xinyu Lin, Wenbo Li, Xiaogang Xu, Yuanhao Cai, Zhonghang Liu, Xiaoguang Han, Jiangbo Lu Proceedings of the European Conference on Computer Vision (ECCV) 2024 [paper\|code] Enhancing any LLIE frameworks and significantly (up to +7dB) with only extra 88K parameters.
	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 Restoring HQ 4K novel views from any NeRF or even GS models. [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 The first general NeRF enhancer. [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]
	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]
	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]
	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]
	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]
	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]
	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]
	Mutual Guidance and Residual Integration for Image Enhancement Kun Zhou, Wenbo Li, Xiaoguang Han, Jiangbo Lu arXiv:2211.13919 [paper]
	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

Conference Program Committee :

Journal Reviewer:

Conference Reviewer:

	UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond Kun Zhou,Xinyu Lin, Zhonghang Liu, Xiaoguang Han, Jiangbo Lu Conference on Neural Information Processing Systems (NeurIPS) 2024
	Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement Kun Zhou,Xinyu Lin, Wenbo Li, Xiaogang Xu, Yuanhao Cai, Zhonghang Liu, Xiaoguang Han, Jiangbo Lu Proceedings of the European Conference on Computer Vision (ECCV) 2024 [paper\|code] Enhancing any LLIE frameworks and significantly (up to +7dB) with only extra 88K parameters.
	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 Restoring HQ 4K novel views from any NeRF or even GS models. [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 The first general NeRF enhancer. [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]
	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]
	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]
	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]
	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]
	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]
	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]
	Mutual Guidance and Residual Integration for Image Enhancement Kun Zhou, Wenbo Li, Xiaoguang Han, Jiangbo Lu arXiv:2211.13919 [paper]
	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]