Welcome to CVNN 2027
2027 2nd International Conference on Computer Vision and Neural Networks
Countdown to the Conference:
☀ About CVNN
Driven by the new wave of artificial intelligence, computer vision and neural network technologies are undergoing a profound transformation from "perception" to "cognition." This shift continues to unlock innovative applications in critical fields such as autonomous driving, smart healthcare, and industrial internet, while constantly pushing the boundaries in cutting-edge areas like foundation models and generative AI.To gather global expertise and jointly explore emerging frontiers, the 2027 2nd International Conference on Computer Vision and Neural Networks (CVNN 2027) will be held in Harbin, China, from January 29 to 31, 2027.This conference aims to provide a high-level international platform for dialogue among scholars, engineers, and industry leaders worldwide. Participants will engage in in-depth discussions on core topics such as neural networks, multimodal learning, and 3D vision, fostering fruitful academic collaboration and knowledge sharing.
 | January 29-31, 2027 Conference Dates |
| October 21, 2026 Full Paper Submission Date |
 | November 29, 2026 Registration Deadline |
 | December 20, 2026 Final Paper Submission Date |
☀ Topics
The topics of interest for submission include, but are not limited to:
Computer Vision
Image Recognition
Object Detection, Tracking, and Counting
Image and Instance Segmentation
Face, Human Body, and Behavior Analysis
Scene Parsing and Visual Reasoning
3D Vision and Point Cloud Processing
Neural Networks
Frontier Vision and Interdisciplinary Areas
Vision Systems and Domain Applications
☀ Publication
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.