★CONTACT US
Website: https://www.icvisp.org/
Date:December 11-13, 2026
Venue:Haikou, China
Conference Email:inquiry@icvisp.org
Conference Tel:+86 28 85027305 (International)
Monday-Friday, 9:00am-12:00pm and 1:30pm-6:00pm
★Welcome to ICAUAS 2026
It is with great pleasure that we invite you to the 2026 10th International Conference on Vision, Image and Signal Processing (ICVISP 2026), which is organized by Hainan University, and is scheduled to take place from December 11-13, 2026, in Haikou, China.
ICVISP is committed to delivering a platform for collaboration and discovery, with the aim of driving progress in image, vision, and signal processing—key technologies that are enhancing our understanding of the world and propelling advancements in artificial intelligence, machine learning, and a multitude of other applications that are transforming industries and improving lives.
★Publication Information
Registered and presented full papers will be included in the ICVISP 2026 digital conference proceedings and submitted to major citation databases (including, but not limited to Ei Compendex and Scopus) for review and indexing.
Note: All accepted papers must be presented at the conference. No-show papers will be excluded from the conference proceedings.
★Call for papers (https://www.icvisp.org/cfp.html)
Topics of Interest include but not limited to:
1. Computer Vision
3D Computer Vision
Adversarial Attack and Defense
Deep Learning Architectures and Techniques
Document Analysis and Understanding
Embodied Vision
Humans: Face, Body, Pose, Gesture, Movement
Image and Video Synthesis and Generation
2. Image Processing
Sensing, Representation, Modeling, & Registration
Synthesis, Rendering, & Visualization
Computational Imaging
Restoration & Enhancement
Compression, Coding, & Transmission
3. Signal Processing
Applied Signal Processing Systems
Audio & Acoustic Signal Processing
Biomedical Imaging & Signal Processing
Compressive Sensing, Sparse Modeling
Image, Video & Multidimensional Signal Processing
4. Multimodal AI
Multimodal Representations (Language, Vision, Audio, Touch, Depth, etc.)
Multimodal Data Modeling
Multimodal Data Fusion
Cross/Multi-modal Learning
Multimodal Big Data Analytics and Visualization
5. Applications
Augmented and Mixed Reality
Autonomous Driving
Low-Altitude Visual Perception and Understanding
Mental Health and Cognitive Stimulation
Human-robot Interaction
