Conference Topics


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. 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
◇ 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
◇ Efficient training and inference methods for networks
◇ Explainable AI, fairness, accountability, privacy, transparency and ethics in vision
◇ Image retrieval
◇ Low-level and physics-based vision
◇ Machine learning architectures and formulations
◇ Medical, biological and cell microscopy
◇ 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