Zhikang Zou(邹智康)'s Homepage

Zhikang Zou 邹智康

I am currently working at Baidu Inc. as a computer vision researcher, working closely with Xiaoqing Ye and Xiao Tan. I received my bachelor degree and master degree from Huazhong University of Science and Technology in 2020, advised by Prof. Pan Zhou. I had a great time as a research intern at Tecent AI lab at Shenzhen, advised by Linchao Bao.

My research interests are in computer vision and machine learning, with specific interest in 3D detection, pointcloud understanding and crowd counting, etc. Looking for self-motivated interns in Baidu. Please drop your CV to me if you are interested in those topics.

News

2024.03: One paper accepted by CVPR2024.
2024.02: One paper accepted by SCIENCE CHINA Information Sciences (SCIS) 2024 (CCF-A).
2023.09: One paper accepted by NeurIPS2023.
2023.07: One paper accepted by ICCV2023.
2023.02: Two paper accepted by CVPR2023.
2022.06: Two paper accepted by ACMMM2022.
2021.07: Two paper accepted by ICCV2021. It is also my first monocular 3D detection paper.
2021.07: Three paper accepted by ACMMM2021.
2021.07: One paper accepted by ACMMM2020.
2020:11: Share paper list about monocular 3D detection in Awesome-Monocular-3D-detection
2020.07: Joined Baidu Inc. at Shenzhen as a computer vision researcher. Foucs on 3D Vision.
2018.12: Joined Tecent AI lab at Shenzhen as research intern. Started doing research on 3D Vision.

Research Highlight

ICCV23: A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection

CVPR23: CrowdCLIP: Unsupervised Crowd Counting
via Vision-Language Model

ACM MM22: Paint and Distill: Boosting 3D Object Detection with Semantic Passing Network

ACM MM21: Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network

ICCV21: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection

ACM MM21: Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting

Publications (* equal contribution)

	SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model Dingyuan Zhang, Dingkang Liang, Hongcheng Yang, Zhikang Zou, Xiaoqing Ye, Zhe Liu, Xiang Bai SCIENCE CHINA Information Sciences , SCIS 2024 [PDF] [Code] [BibTeX]
	Query-based Temporal Fusion with Explicit Motion for 3D Object Detection Jinghua Hou, Zhe Liu, Dingkang Liang, Zhikang Zou, Xiaoqing Ye, Xiang Bai Neural Information Processing Systems, NeurIPS 2023 [PDF] [Code] [BibTeX]
	A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection Dingyuan Zhang, Dingkang Liang, Zhikang Zou, Jingyu Li, Xiaoqing Ye, Zhe Liu, Xiao Tan, Xiang Bai IEEE International Conference on Computer Vision*, ICCV 2023 [PDF] [Code] [BibTeX]
	CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model Dingkang Liang, Jiahao Xie, Zhikang Zou, Xiaoqing Ye, Wei Xu, Xiang Bai IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2023 [PDF] [Code] [BibTeX]
	SOOD: Towards Semi-Supervised Oriented Object Detection Wei Hua, Dingkang Liang, Jingyu Li, Xiaolong Liu, Zhikang Zou, Xiaoqing Ye, Xiang Bai IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2023 [PDF] [Code] [BibTeX]
	Paint and Distill: Boosting 3D Object Detection with Semantic Passing Network Bo Ju, Zhikang Zou, Xiaoqing Ye, Minyue Jiang, Xiao Tan, Errui Ding, Jingdong Wang ACM International Conference on Multimedia, ACM MM 2022 [PDF] [Code] [BibTeX]
	Repainting and Imitating Learning for Lane Detection Yue He, Minyue Jiang, Xiaoqing Ye, Liang Du, Zhikang Zou, Wei Zhang, Xiao Tan, Errui Ding ACM International Conference on Multimedia, ACM MM 2022 [PDF] [BibTeX]
	SGM3D: Stereo Guided Monocular 3D Object Detection Zheyuan Zhou, Liang Du, Xiaoqing Ye, Zhikang Zou, Xiao Tan, Li Zhang, Xiangyang Xue, Jianfeng Feng IEEE Robotics and Automation Letters*, RA-L 2022 [PDF] [Code] [BibTeX]
	The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection Zhikang Zou, Xiaoqing Ye, Liang Du, Xianhui Cheng, Xiao Tan, Li Zhang, Jianfeng Feng, Xiangyang Xue, Errui Ding IEEE International Conference on Computer Vision, ICCV 2021 [PDF] [BibTeX]
	Revealing the Reciprocal Relations between Self-Supervised Stereo and Monocular Depth Estimation Zhi Chen, Xiaoqing Ye, Wei Yang, Zhenbo Xu, Xiao Tan, Zhikang Zou, Errui Ding, Xinming Zhang, Liusheng Huang IEEE International Conference on Computer Vision, ICCV 2021 [PDF] [BibTeX]
	Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network Zhikang Zou, Xiaoye Qu, Pan Zhou, Shuangjie Xu, Xiaoqing Ye, Wenhao Wu, Jin Ye ACM International Conference on Multimedia, ACM MM 2021 [PDF] [BibTeX]
	Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li ACM International Conference on Multimedia, ACM MM 2021 [PDF] [Code] [BibTeX]
	Leaping from 2D Detection to Efficient 6DoF Object Pose Estimation Jinhui Liu, Zhikang Zou, Xiaoqing Ye, Xiao Tan, Errui Ding, Feng Xu, Xin Yu European Conference on Computer Vision*, ECCVw 2020 [PDF] [BibTeX]
	Crowd Counting via Hierarchical Scale Recalibration Network Zhikang Zou, Yifan Liu, Shuangjie Xu, Wei Wei, Shiping Wen, Pan Zhou European Conference on Artificial Intelligence, ECAI 2020 [PDF] [BibTeX]
	Enhanced 3D Convolutional Networks for Crowd Counting Zhikang Zou, Huiliang Shao, Xiaoye Qu, Wei Wei, Pan Zhou British Machine Vision Conference, BMVC 2019 [PDF] [BibTeX]
	Adversarial Category Alignment Network for Cross-domain Sentiment Classification Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL 2019 [PDF] [Code] [BibTeX]

Contest

	Argoverse Stereo Competition 2021 Topic---Stereo Matching The IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021 Rank 2nd in the contest
	BOP Challenge 2020 Topic---6D Pose Estimation European Conference on Computer Vision, ECCV 2020 Rank 3nd in the contest

Current/Past Intern

• Dingkang Liang, PhD student at HUST advised by Prof. Xiang Bai
• Yubo Cui, PhD student at NEU advised by Prof. Zheng Fang
• Fanbin Lu, PhD student at CUHK advised by Prof. Jiaya Jia
• Yue Ma, Master student at Tsinghua advised by Prof. Xiu Li
• Kuofeng Gao, Master student at Tsinghua