Welcome to the official website of 2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML 2021). PRML 2021 is sponsored by IEEE and hosted by Sichuan University. PRML is an annual conference which aims to present the latest research and results of scholars and experts related to Pattern Recognition and Machine Learning. This conference provides opportunities for delegates from different areas to exchange new ideas, applications and experiences face to face, to establish business or research relations, and to find global partners for future collaboration. We hope that the conference results in significant contributions to the knowledge base in these scientific fields.
PRML 2021 will be held during July 16-18, 2021 in Sichuan University, Chengdu, China. It features keynote speech, invited speech as well as paper presentation with oral or poster. It is welcomed that scholars and experts from all over the world to submit the papers or register as listener to participate in the conference.
Submitted papers will be peer-reviewed by the reviewers or Technical Committee members. The accepted and registered papers (after it is presented in the conference) will be published in the PRML 2021 Conference Proceedings, which will be archived in IEEE Xplore, and indexed by Ei Compendex, Scopus.
Topics of interest for submission include, but are not limited to:
3D computer vision
Action and behavior recognition
Adversarial learning, adversarial attack and defense methods
Biometrics, face, gesture, body pose
Computational photography, image and video synthesis
Datasets and evaluation
Efficient training and inference methods for networks
Explainable AI, fairness, accountability, privacy, transparency and ethics in vision
Low-level and physics-based vision
Machine learning architectures and formulations
Medical, biological and cell microscopy
Motion and tracking
Neural generative models, auto encoders, GANs
Optimization and learning methods
Recognition (object detection, categorization)
Representation learning, deep learning
Scene analysis and understanding
Segmentation, grouping and shape
Transfer, low-shot, semi- and un- supervised learning
Video analysis and understanding
Vision + language, vision + other modalities
Vision applications and systems, vision for robotics and autonomous vehicles
Visual reasoning and logical representation
The papers can be submitted through Electronic Submission System or conference email box: firstname.lastname@example.org. The paper ID will be assigned within 2 working days after your submission.
*Full paper (Presentation & Publication)
*Abstract (Presentation Only)
Final Paper Deadline
Draft Paper Acceptance Notification