Topic Areas
This is a non-comprehensive list of topics of interest to CVML 2025.
1. Computer Vision and Imaging:
– 3D from multi-view and sensors
– 3D from single images
– Autonomous driving
– Biometrics
– Computational imaging
– Computer vision theory
– Efficient and scalable vision
– Explainable computer vision
– Humans: Face, body, pose, gesture, movement
– Image and video synthesis and generation
– Physics-based vision and shape-from-X
– Recognition: Categorization, detection, retrieval
– Scene analysis and understanding
– Segmentation, grouping, and shape analysis
– Video: Action and event understanding
2. Machine Leaning Techniques:
– Adversarial attack and defense
– Deep learning architectures and techniques
– Machine learning (other than deep learning)
– Optimization methods (other than deep learning)
– Transfer/ low-shot/ continual/ long-tail learning
– Generative models
– Probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)
– Reinforcement learning
– Representation learning for computer vision, audio, language, and other modalities
– Metric learning, kernel learning, and sparse coding
– Learning on graphs and other geometries and topologies
3. Ethics, Privacy, and Integrative Techniques:
– Transparency, fairness, accountability, privacy, and ethics in vision
– Vision, language, and reasoning
– Self-& semi-& meta-& unsupervised learning
– Robotics
—————————————————————————————
IMPORTANT DATES
– Full Paper Submission Due: Sep. 19, 2025
– Notification of Acceptance Due: Within one week after submission
– Registration Deadline: Oct. 17, 2025
– Conference Date: Oct. 24-26, 2025
—————————————————————————————
FULL PAPER SUBMISSION
If you wish to have your paper published in the conference proceedings, please submit the full paper through the CMT system (the link above):
https://cmt3.research.microsoft.com/CVML2025
—————————————————————————————
INDEXING
Accepted and presented papers will be submitted to El Compendex and Scopus for indexing.
—————————————————————————————
CONTACT
Dr. Deng: iccvml@hotmail.com
Ms. Li (Wechat): 17722135859