At the edge of dynamism and automation in technological advancement, time has witnessed an intensified demand for artificial mechanisms and applications. Computer Vision and Robotics have been adequately popular for both commercial purposes as well as research-oriented applicability with foremost tools and techniques. The momentum has fastened with the advancement in integrated micro-Mechatronics and computer vision with an intensifying speed towards the applied AI rather than operating with traditional Computer Vision such as image reorganization and dictation, cognition analysis, smart interaction, and better alternative solutions with intelligent decision-making ability. Computer Vision and Robotics are among the most prominent disciplines of an informative-rich and technology-driven world. Its application ranges from Humanoid to Man-less-plant, Application to Space application, Agriculture to Medicine, and Household goods to Industries. The appealing requisite of intelligent and automatic machine innovation has been fastening to empower humankind as the most influential driving force in almost every domain and service. Robotics is one such area that encompasses a number of technologies, and its application is widespread. Computational or machine vision is the most challenging tool for the robot to make it intelligent. To perceive the real-world scenario, which is 3D in nature, from the standard camera, which takes images in the 2D plane, is the most challenging job for the researchers who are working in this area. However, many challenges and issues are yet to be encountered while complying with the users and machines depending on the psychological cognition of humankind. To administrate these open issues in these phenomena has been boosted with continuous improvisation by using deep learning approaches to complement the tasks performing ability of computer vision and robotics applications. With voluminous competition to have control over massive data and information culturing knowledge from the theoretical and methodological literature to advance further research and exploration, the future of computer vision and robotics will see a broader range of applications in a non-conflictions approach.
The main objective of ICCVR 2024 pertains to bringing together researchers, academicians, students, users, and developers from the diverse fields of engineering, computer science, and social and bio-medical science who contribute to 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 present and share their work along with emphasizing various applications in key functional areas with discussion among the best of brains across the world.
|Opening of Submission site||1 December 2023|
|Full Paper Submission||15 March, 2024|
|Notification of Acceptance||5 April, 2024|
|Camera Ready Submission||5 May, 2024|
|Last Date of Registration||5 June, 2024|
|Conference Date||August 24-25 2024|
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.
Conference Secretary: Mr. Ethan Lee
TEL: (+86)156 6838 0225