Zikun Zhou
Assistant Research Fellow
Pengcheng Laboratory & Pazhou Lab
Email: zhouzikunhit@gmail.com
Zikun Zhou
Assistant Research Fellow
Pengcheng Laboratory & Pazhou Lab
Email: zhouzikunhit@gmail.com
ABOUT ME
I earned my Ph.D. in 2022 at Harbin Institute of Technology, Shenzhen, under the supervision of Prof. Hongpeng Wang and Prof. Zhenyu He. Prior to that, I received my Master's degree and Bachelor's degree in 2018 and 2016 from Harbin Institute of Technology, under the guidance of Prof. Junning Cui and Prof. Jiubin Tan, respectively. My research interests include computer vision and machine learning.
Employment History
2022.10~present, Pengcheng Laboratory, Assistant Research Fellow.
Education Background
2018.09~2022.09, Harbin Institute of Technology, Shenzhen, Computer science and technology, Ph.D.
2016.09~2018.07, Harbin Institute of Technology, Instrumentation science and technology, M.Eng.
2012.08~2016.07, Harbin Institute of Technology, Measurement and control technology and instrumentation, B.Eng.
NEWS
02/2025, two papers are accepted to CVPR 2025. Congratulations to Yushuai and Xinqi.
01/2025, one paper is accepted to ICRA 2025.
12/2024, one paper is accepted to AAAI 2025.
10/2024, one paper is accepted to IEEE TCSVT.
09/2024, we get the 3rd place in the VOTS2024 challenge [VOTS2024].
07/2024, two papers are accepted to ACM MM 2024.
05/2024, one paper is accepted to ICML.
04/2024, one paper is accepted to IEEE TNNLS.
02/2024, two papers are accepted to CVPR 2024.
01/2024, one paper is accepted to IEEE TMM.
12/2023, one paper is accepted to AAAI 2024.
10/2023, one paper is accepted to TCSVT.
02/2023, one paper is accepted to CVPR 2023.
01/2023, one paper is accepted to Information Science.
10/2022, start my journey at PCL as an assistant research fellow.
08/2022, successfully defend my Ph.D. thesis.
03/2022, one paper is accepted to CVPR 2022.
08/2021, one paper is accepted to TCSVT.
07/2021, one paper is accepted to ICCV 2021.
06/2021, one paper is accepted to TCSVT.
05/2021, one paper is accepted to Neural Networks.
Publications
[28] Y. Sun#, Z. Zhou#*, D. Jiang, Y. Wang, J. Yu, G. Lu, W. Pei*, "Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval", accept to CVPR 2025.
[27] X. Liu#, L. Zhou#, Z. Zhou*, J. Chen, Z. He*, "MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking", accept to CVPR 2025 (Highlight).
[26] J. Chen#, Z. Zhou#, X. Li, Y. Zheng, T. Bao, Z. He*, "ZeroBP: Learning Position-Aware Correspondence for Zero-shot 6D Pose Estimation in Bin-Picking", ICRA 2025 (Oral).
[25] X. Yuan#, L. Zhou#*, Z. Sun, Z. Zhou, and J. Lan*, "Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal Model", AAAI 2025.
[24] J. Chen, Z. Zhou, M. Sun, R. Zhao, L. Wu, T. Bao, and Z. He*, "ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024
[23] Z. Huang#, Y. Yu#, L. Yang, C. Qin, B. Zhang, X. Zheng, Z. Zhou*, Y. Wang, and W. Yang*, "Motion-aware Latent Diffusion Models for Video Frame Interpolation", ACM MultiMedia (ACM MM), 2024.
[22] L. Chen#, Y. Huang#, H. Li, Z. Zhou, and Z. He*, "Simplifying Cross-modal Interaction via Modality-Shared Features for RGBT Tracking", ACM MultiMedia (ACM MM), 2024.
[21] Z. Huang#, L. Yang#, X. Zhou, C. Qin, Y. Yu, X. Zheng*, Z. Zhou, W. Zhang, Y. Wang, W. Yang*, "Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation", International Conference on Machine Learning (ICML), 2024.
[20] Z. Zhou#, K. Mao#, W. Pei, H. Wang, Y. Wang*, and Z. He*, "Reliability-Guided Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
[19] Z. Huang#, Q. Liang#, Y. Yu, C. Qin, X. Zheng, K. Huang, Z. Zhou*, and W. Yang*, "Bilateral Event Mining and Complementary for Event Stream Super-Resolution", CVPR 2024 (Oral).
[18] Y. Huang, X. Li*, Z. Zhou, Y. Wang, Z. He*, and MH. Yang, "RTracker: Recoverable Tracking via PN Tree Structured Memory", CVPR 2024.
[17] J. Zhang#, Z. Zhou#*, G. Lu, J. Tian, and W. Pei*, "Robust 3D Tracking with Quality-Aware Shape Completion", AAAI 2024.
[16] C. Tian#, Z. Zhou#, Y. Huang, G. Li, and Z. He, "Cross-Modality Proposal-guided Feature Mining for Unregistered RGB-Thermal Pedestrian Detection", IEEE Transactions on Multimedia (TMM), 2024.
[15] Z. Wang, Z. Zhou, F. Chen*, J. Xu, W. Pei, and G. Lu, "Robust Tracking via Fully Exploring Background Prior Knowledge", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.
[14] L. Zhou, Z. Zhou*, K. Mao, and Z. He*, "Joint Visual Grounding and Tracking with Natural Language Specification", CVPR, 2023.
[13] N. Fan, Q. Liu, X. Li, Z. Zhou, and Z. He*, "Siamese Residual Network for Efficient Visual Tracking", Information Science, 2023.
[12] Z. Zhou#, J. Chen#, W. Pei*, K. Mao, H. Wang, and Z. He*, "Global tracking via ensemble of local trackers", CVPR 2022.
[11] Z. Zhou#, X. Li#, N. Fan, H. Wang, and Z. He*, "Target-Aware State Estimation for Visual Tracking", accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
[10] Z. Zhou, W. Pei*, L. Xin, H. Wang, F. Zheng, and Z. He*, "Saliency-Associated Object Tracking", ICCV 2021.
[9] Z. Zhou#, X. Li#, T. Zhang, H. Wang, and Z. He*, "Object Tracking via Spatial-Temporal Memory Network", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
[8] Z. Zhou, N. Fan, K. Yang, H. Wang, and Z. He*. "Adaptive ensemble perception tracking", Neural Networks (NN), 2021.
[7] N. Fan, X. Li, Z. Zhou, Q. Liu, and Z. He*, "Noise-suppressing Deep Tracking", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
[6] K. Yang, Z. He*, W. Pei, Z. Zhou, X. Li, D. Yuan, and H. Zhang, "SiamCorners: Siamese Corner Networks for Visual Tracking", IEEE Transactions on Multimedia (TMM), 2021.
[5] N. Fan, X. Li, Z. Zhou, Q. Liu, and Z. He*, "Learning dual-margin model for visual tracking", Neural Networks (NN), 2021.
[4] N. Fan, Q. Liu, X. Li, Z. Zhou, and Z. He*, "Interactive convolutional learning for visual tracking", Knowledge-Based Systems (KBS), 2021.
[3] Q. Liu, X. Li, Z. He*, C. Li, J. Li, Z. Zhou, D. Yuan, J. Li, K. Yang, N. Fan, and F. Zheng, “Lsotb-tir: A large-scale high-diversity thermal infrared object tracking benchmark”, ACM MM 2020.
[2] X. Li, Q. Liu, N. Fan, Z. Zhou, Z. He*, and X. Jing, "Dual-regression model for visual tracking", Neural Networks (NN), 2020.
[1] K. Yang, Z. He*, Z. Zhou, and N. Fan, "SiamAtt: Siamese attention network for visual tracking", Knowledge-based systems (KBS), 2020.
Pre-Prints
[1] Z. Zhou#, S. Wu#, G. Zhu, H. Wang, and Z. He, "Channel and Spatial Relation-Propagation Network for RGB-Thermal Semantic Segmentation", arXiv, 2023.
Note: # means equal contribution; * denotes the corresponding author.
Academic activities
Conference Reviewer
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023-2024
IEEE International Conference on Computer Vision (ICCV), 2023, 2025.
European Conference on Computer Vision (ECCV), 2024.
AAAI Conference on Artificial Intelligence, 2023-2025.
ACM Multimedia, 2024, 2025.
ACCV, 2024.
IROS, 2025.
Journal Reviewer
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Multimedia (TMM)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
IEEE Transactions on Intelligent Transportation Systems (TITS)
IET Image Processing (IPR)
International Journal of Machine Learning and Cybernetics (JMLC)
Information Sciences (INS)
Knowledge-Based System (KBS)
Neural Networks (NN)