

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 |


Image recognition
Video analysis
Object detection
Scene understanding
3D reconstruction
Visual tracking
Semantic segmentation
Feature extraction
Vision-based navigation

Deep learning architectures
Convolutional networks
Recurrent networks
Graph neural networks
Transformer models | Transformer
Optimization techniques
Representation learning
Neural network robustness
Explainable AI

Multimodal learning
Generative AI
Human–computer interaction
Augmented reality
Virtual reality
Biomedical imaging
Computational neuroscience
Cross-domain adaptation
Ethics in vision AI

Autonomous driving
Smart healthcare
Robotics vision
Industrial inspection
Surveillance systems
Agricultural vision
Remote sensing
Smart city applications
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. All submissions will be checked for reference authenticity. Please ensure each reference is verifiable via its DOI or a working link.
