IJCNN 2025 Special Session on Machine Learning and Deep Learning Methods in Vision and Robotics
Submit your paper for the IJCNN 2025 Special Session on Machine Learning and Deep Learning Methods applied to Vision and Robotics. The special session will be held in Rome, Italy from June 30 to July 5, 2025. The aim is to bring together researchers and developers to discuss and share their work on algorithms and architectures for real-time applications in computer vision, image processing, biometrics, virtual and augmented reality, neural networks, intelligent interfaces, and biomimetic object-vision recognition.
Submission Invitation for IJCNN 2025 Special Session
We invite you to submit a paper for the IJCNN 2025 Special Session on Machine Learning and Deep Learning Methods applied to Vision and Robotics (MLDLMVR). The special session will be held in Rome, Italy from June 30 to July 5, 2025. The aim is to bring together researchers and developers to discuss and share their work on algorithms and architectures for real-time applications in computer vision, image processing, biometrics, virtual and augmented reality, neural networks, intelligent interfaces, and biomimetic object-vision recognition.
The special session provides a platform for academics, developers, and industry-related researchers to discuss traditional and new areas of computer vision, machine and deep learning, and their applications in vision and robotics. The methods and tools applied include, but are not limited to, computational intelligence methods, machine learning methods, self-adaptation, self-organization, self-supervised learning, robust computer vision algorithms, extraction of biometric features, registration methods, convolutional neural networks, recurrent neural networks, deep reinforcement learning, generative adversarial networks, predictive learning, active-incremental-online learning, and hardware implementation and algorithms acceleration.
The fields of application include, but are not limited to, video and image processing, video tracking, 3D scene reconstruction, 6D object detection, objects grasping/manipulation, 3D tracking in virtual reality environments, 3D volume visualization, intelligent interfaces, multi-camera and RGB-D camera systems, multi-modal human pose recovery and behavior analysis, human body reconstruction, gesture and posture analysis and recognition, biometric identification and recognition, extraction of biometric features, surveillance systems, autonomous and social robots, robotic vision, synthetic data generation, Sim2Real, Industry 4.0, Ambient Assisted Living, and IoT and Cyber-physical Systems.
Important dates for submission include the paper submission deadline on January 15, 2025, with a tentative extension to January 30, 2025. The paper acceptance notification date is March 30, 2025. Please follow the regular submission guidelines of IJCNN 2025 and notify the chairs of your submission by sending an email to jgarcia@dtic.ua.es.
The chairs of the special session are José García-Rodríguez, Alexandra Psarrou, Isabelle Guyon, and Andrew Lewis. For any inquiries, please contact the email above or visit the special session webpage at https://personal.ua.es/jgr/IJCNN2025/.
Tags: IJCNN 2025, Machine Learning, Deep Learning, Vision, Robotics, Special Session, Submission, Computer Vision, Image Processing, Biometrics, Virtual Reality, Neural Networks, Intelligent Interfaces, Biomimetic Object-Vision Recognition, Computational Intelligence, Self-Adaptation, Self-Organization, Self-Supervised Learning, Robust Computer Vision Algorithms, Extraction of Biometric Features, Registration Methods, Convolutional Neural Networks, Recurrent Neural Networks, Deep Reinforcement Learning, Generative Adversarial Networks, Predictive Learning, Active-Incremental-Online Learning, Hardware Implementation, Algorithms Acceleration, Video and Image Processing, Video Tracking, 3D Scene Reconstruction, 6D Object Detection, Objects Grasping/Manipulation, 3D Tracking in Virtual Reality Environments, 3D Volume Visualization, Intelligent Interfaces, Multi-Camera and RGB-D Camera Systems, Multi-Modal Human Pose Recovery and Behavior Analysis, Human Body Reconstruction, Gesture and Posture Analysis and Recognition, Biometric Identification and Recognition, Extraction of Biometric Features, Surveillance Systems, Autonomous and Social Robots, Robotic Vision, Synthetic Data Generation, Sim2Real, Industry 4.0, Ambient Assisted Living, IoT and Cyber-physical Systems