2026 The 8th International Conference on Video, Signal and Image Processing (VSIP)
Description
Session Organizers
Sepcial Session Topics
The topics of interest include, but are not limited to: Submission Method
Introduction of Session Organizers
While deep learning has significantly advanced video, signal, and image
processing, current state-of-the-art vision models often suffer from severe
performance degradation when deployed in real-world, open-world scenarios.
This degradation is typically caused by environmental variations (e.g.,
adverse weather, low light), sensor noise, compression artifacts, domain
shifts, or malicious adversarial attacks.
This Special Session at VSIP 2026 focuses on Visual Robustness Methods. We
aim to bring together researchers and practitioners to explore novel
theories, algorithms, and applications that enhance the reliability,
generalization, and security of visual computing systems. We particularly
welcome research addressing the robustness of emerging Large Vision-Language
Models (VLMs) and generative models in complex video and image processing
tasks.
Prof. Zhize Wu, Hefei University, China
Asst. Prof. Mengyuan Liu, Peking University, China
Assoc. Prof. Yunfeng Diao, Hefei University of Technology, China
• Adversarial attacks and robust defense mechanisms in image and video
processing.
• Physical-world adversarial examples and robust visual perception.
• Deepfake detection, image/video forgery analysis, and robust
authentication.
• Privacy-preserving visual signal processing and secure computing.
• Domain adaptation and domain generalization in open-world visual tasks.
• Out-of-Distribution (OOD) detection, anomaly detection, and open-set
recognition.
• Robust visual representation learning and recognition under long-tailed
data distributions.
• Robustness evaluation of zero-shot, few-shot, and transfer learning
methods.
• Stability, safety, and robust generation of Diffusion Models and other
Generative AI.
Submit your Full Paper (no less than 8 pages) or your paper abstract—without
publication (200–400 words)—via the
Online Submission
System, then choose Special Session 1 (Robust Visual Perception and Processing in Open-World Scenarios (RVPP)).
Template Download
Prof.
Zhize Wu
Hefei University, China
Zhize Wu, Ph.D., received his doctorate from the University of Science and
Technology of China in 2017 and is currently a Professor at Hefei
University. His research interests lie in secure artificial intelligence and
deep learning-driven visual perception computing. He has authored over 30
papers in top-tier journals and conferences, including IEEE Transactions
on Image Processing (TIP), CVPR, ICCV, ACL, IEEE Transactions on
Evolutionary Computation (TEVC), IEEE Transactions on Multimedia (TMM),
Information Fusion, and Pattern Recognition. He also serves as a
reviewer for several leading journals and conferences, such as TPAMI,
TIP, TMM, TCSVT, TEVC, PR, AAAI, and IJCAI.
Asst. Prof. Mengyuan Liu
Peking University, China
Mengyuan Liu, Ph.D., is an Assistant Professor at the School of Information
Engineering, Peking University. His research vision focuses on enabling
robots to perceive and understand the human-centered physical world through
visual intelligence, thereby facilitating natural, intuitive, and
human-friendly human-computer interaction. He has published over 50 academic
papers in top-tier international conferences such as CVPR, ECCV, AAAI,
IJCAI, and ACM MM, as well as in leading journals including IEEE
Transactions on Multimedia (TMM), IEEE Transactions on Circuits and Systems
for Video Technology (TCSVT), Pattern Recognition, and IEEE Transactions on
Image Processing (TIP). His work has been cited more than 2,000 times,
with a single paper receiving over 600 citations. He has been recognized as
an ESI Highly Cited Researcher for three consecutive years.
Assoc. Prof. Yunfeng Diao
Hefei University of Technology, China
Yunfeng Diao received his Ph.D. from Southwest Jiaotong University and
completed joint doctoral training at University of Leeds. He is currently
Assistant Dean of the School of Computer Science and Information Engineering
at Hefei University of Technology. He also serves as Secretary-General of
the Technical Committee on Secure Artificial Intelligence of the Anhui
Society of Artificial Intelligence, Executive Committee Member of the
Multimedia Technical Committee of China Computer Federation, and Committee
Member of the Multimedia and Digital Media Forensics & Security Technical
Committees of China Society of Image and Graphics.
His research interests include AI security, computer vision, and deep
learning. He has published over 30 papers in leading conferences and
journals, including IEEE/CVF Conference on Computer Vision and Pattern
Recognition, International Conference on Learning Representations, IEEE/CVF
International Conference on Computer Vision, International Conference on
Machine Learning, AAAI Conference on Artificial Intelligence, IEEE TMM, IEEE
TIFS, and IEEE TCSVT. He serves as an Associate Editor for IEEE TIFS and
IJAACS, and regularly reviews for top-tier journals and conferences such as
Conference on Neural Information Processing Systems and IJCV. He has led
multiple research projects funded by the National Natural Science Foundation
of China and industry collaborations, and has received several honors,
including the IJCAI Workshop Outstanding Contribution Award and the IROS
RODGE Workshop Best Paper Award.
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