WELCOME TO ICCVR 2025

With the rapid development of technology, computational vision and robotics, as the dual-core driving forces, are driving technological advancement and industrial change at an unprecedented rate in the field of artificial intelligence. Computational vision technology can give machines the ability to "see" so that they can accurately identify, understand and respond to the surroundings.; while robotics technology gives machines the ability to act autonomously and perform tasks efficiently.


The convergence of computational vision and robotics creates a significant synergistic effect, profoundly transforming the development trajectory of numerous industries, including healthcare, security, autonomous driving, retail e-commerce, industrial automation, agriculture, and logistics. This integration has led to remarkable enhancements in efficiency, accuracy, and safety across these fields. The advancement of computational vision and robotics technology is steering human society towards a more intelligent and automated future, providing us with unlimited possibilities for building an intelligent society.


The main objective of ICCVR 2025 pertaining to bring together researchers, academicians, students, users, developers  from the diverse fields of engineering, computer science, social and bio-medical science who contributed in the context of Computer Vision and Robotics to confer the urgency in adopting the radical dynamics of automation and intelligent cognition effectively and efficiently. The researchers will get the opportunity to represent and share their work along with emphasizing various applications in key functional areas with discussion among the best of brains across the world.


Paper Template   Submit Now

Important Dates

Submission Open: 15th December, 2024

Submission Due to: 20th May, 2025

Notification Date: 25th May, 2025

Camera Ready: 10th June, 2025

Registration Deadline: 24th July, 2025

Conference date: 23rd-24th, August 2025

History

 
ICCVR 2023 View Details
All accepted and presented papers of ICCVR 2023 published in Springer Book Series: Learning and Analytics in Intelligent Systems (Volume 33) and indexed by Ei Compendex successfully.

EI Compendex Index

SUBMISSION GUIDELINES

  • New algorithms with empirical, theoretical, psychological, or biological justification.

  • Experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems.

  • Applications of existing techniques that shed light on the strengths and weaknesses of the methods.

  • New learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks.

  • Development of new analytical frameworks that advance theoretical studies of practical learning methods.

  • Computational models of data from natural learning systems at the behavioral or neural level; or extremely well-written surveys of existing work.


Call for Paper

3D vision and perception,
AI and deep learning application in computer vision,
Alternative eyes,
Architecture and languages,
Artificial neural networks,
Biological vision,
Computational geometry,
Computational intelligence in vision
Innovative uses of various graphic and vision devices and systems,
Intelligent sensors and actuators,
Interactive computational models,
Learning classifiers,
Machine vision,
Mathematical approaches to image processing, analysis, and synthesis,
Medical imaging,