2023 International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2023), organized by Zhejiang University of Technology, will take place in the beautiful city of Oxford, United Kingdom, from September 15th to 17th, 2023.
CCVPR 2023 is a great platform that brings together researchers, engineers, scientists, and industry professionals worldwide. The conference focuses on cutting-edge research, novel methodologies, and innovative applications related to visual perception, image processing, object recognition, and machine learning techniques. It aims to foster collaborations, share best practices, and address challenges in computer vision and pattern recognition across various domains such as healthcare, robotics, autonomous systems, and multimedia analysis.
We welcome you to join us at this intellectually stimulating conference where renowned experts deliver keynote speeches, insightful talks, and engaging panel discussions. Immerse yourself in the latest advancements and emerging trends in the field. Share your work through oral presentations, posters, and demos to foster fruitful discussions, forge connections, and expand your knowledge.
Oxford is a renowned conference site due to its rich academic heritage, distinguished research institutions, and historic charm. It offers a unique blend of intellectual vibrancy and cultural allure, providing a stimulating environment for scholars and attendees. With its prestigious University of Oxford and world-class facilities, the city attracts leading experts from various disciplines, fostering interdisciplinary collaborations and fostering groundbreaking research discussions. Additionally, Oxford's picturesque setting, characterized by stunning architecture and tranquil landscapes, enhances the overall conference experience, creating a memorable backdrop for networking, knowledge exchange, and fostering new ideas.
Let's embrace this opportunity to learn, collaborate, and inspire each other in Oxford!
Prof. Yudong Zhang
University of Leicester, United Kingdom