The 7th International Conference on Image, Video Processing and Artificial Intelligence (IVPAI 2025) was successfully held from May 18–20, 2025, in Bangkok, Thailand. This conference provided a valuable platform for scholars, researchers, and industry experts to explore the latest advances and innovations at the intersection of artificial intelligence and image/video processing.
IVPAI 2025 featured a comprehensive academic program, including keynote & invited speeches, and oral sessions that showcased pioneering research and practical developments in the fields. Supported by SPIE, all accepted papers underwent the peer-review process led by the technical program committees, ensuring high scientific quality and academic rigor. Renowned experts graced IVPAI 2025 with their presence, including Prof. Tae-Kyun Kim (Korea Advanced Institute of Science and Technology), Prof. Lipo Wang (Nanyang Technological University, Singapore), Prof. Kao-Shing Hwang (National Sun Yat-sen University), Mr. Ahmet Tugrul Bayrak (Ata Technology Platforms). Their thought-provoking talks sparked meaningful conversations and inspired new ideas among attendees.
With its strong academic quality, international participation, and vibrant networking atmosphere, IVPAI 2025 has once again proven to be a premier venue for advancing the frontiers of AI-powered image and video processing technologies.


OUR SPEAKERS


Prof. Kao-Shing Hwang
National Sun Yat-sen University
Speech Title: A Robotic Battery Sorting System with Contrastive Learning
Short Bio: Kao-Shing Hwang is a Distinguished Professor/A.S.E. Group Chair Professor of the Electrical Engineering Department at National Sun Yat-sen University. He is also an Adjunct Chair Professor at Kaohsiung Medical University, Taiwan; a Distinguished Chair Professor at National Formosa University, Taiwan; a Visiting Chair Professor at the Department of Computer Engineering, Northwestern Polytechnic. University. Prof. Hwang received M.M.E. and Ph.D. in Electrical and Computer Engineering from Northwestern University, Evanston, IL, U.S.A., in 1989 and 1993. Prof. Hwang was with National Chung Cheng University in Taiwan from 1993-2011, where he was the deputy director of the Computer Center (1998-1999), the chairman of the Electrical Engineering Department (2003~2006), and the director of the Opti-mechatronics Institute of the university (2010~2011). He has been a member of IEEE since 1993, a Fellow of the Institution of Engineering and Technology (FIET), and a recipient of the MOST 2020 Outstanding Research Award, Taiwan. His research interest includes methodologies and analysis for various intelligent systems, visual servoing, and reinforcement learning for medical aid systems and robotic applications.


Mr. Ahmet Tugrul Bayrak
Ata Technology Platforms
Speech Title: Exploring the Potential of Generative AI in Recommender Systems
Short Bio: Ahmet Tugrul Bayrak is the Data Science Manager at Ata Technology Platforms in Turkey. He holds a Bachelor of Science degree in Mathematical Engineering from Yildiz Technical University and another in Computer Engineering from The Technological University of the Shannon. Additionally, he attended Uppsala University for a Master's degree in Computer Science. Throughout his career, Mr. Bayrak has engaged extensively as a software engineer and data scientist. He has participated in numerous projects with a particular focus on Natural Language Processing and Recommender Systems. In addition to his contributions to industry practices, Mr. Bayrak is also actively engaged in academia, with his academic portfolio including many published papers.


Prof. Tae-Kyun Kim
Korea Advanced Institute of Science and Technology
Speech Title: Image and 3D Shape Generation
Short Bio: Tae-Kyun (T-K) Kim is a full Professor and the director of Computer Vision and Learning Lab at School of Computing, KAIST since 2020, and has been an adjunct reader of Imperial College London (ICL), UK for 2020-2024. He led Computer Vision and Learning Lab at ICL during 2010-2020. He obtained his PhD from Univ. of Cambridge in 2008 and Junior Research Fellowship (governing body) of Sidney Sussex College, Univ. of Cambridge during 2007-2010. His BSc and MSc are from KAIST. His research interests primarily lie in machine (deep) learning for 3D computer vision and generative AI, including: articulated 3D hand/body reconstruction, face analysis and recognition, 6D object pose estimation, activity recognition, object detection/tracking, active robot vision, which lead to novel active and interactive visual sensing. He has co-authored over 100 academic papers in top-tier conferences and journals in the field, and has co-organised series of HANDS workshops and 6D Object Pose workshops (in conjunction with CVPR/ICCV/ECCV) since 2015. He was the general chair of BMVC17 in London, the program co-chair of BMVC23, and is Associate Editor of Pattern Recognition Journal, Image and Vision Computing Journal. He regularly serves as an Area Chair for top-tier vision/ML conferences. He received KUKA best service robotics paper award at ICRA 2014, and 2016 best paper award by the ASCE Journal of Computing in Civil Engineering, and the best paper finalist at CVPR 2020, and his co-authored algorithm for face image representation is an international standard of MPEG-7 ISO/IEC.
Prof. Lipo Wang
Nanyang Technological University
Speech Title: Progress in Deep Learning for Medical Image and EEG Classification
Short Bio: Prof. Lipo Wang received the bachelor's degree from National University of Defense Technology (China) and PhD from Louisiana State University (USA). He is presently with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence for image and data processing. He has 400+ publications, 2 patents and 15,000+ Google Scholar citations. He was keynote speaker for 40+ international conferences. He is an Editor-in-Chief of International Journal of Computational Intelligence and Applications, Senior Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems, and Associate Editor of IEEE Transactions on Neural Networks and Learning Systems. He is/was Associate Editor/Editorial Board Member of 30+ international journals, including 2 other IEEE Transactions, and guest editor for 10+ journal special issues. He was a member of the Board of Governors of the International Neural Network Society, IEEE Computational Intelligence Society (CIS), and the IEEE Biometrics Council. He served as CIS Vice President for Technical Activities and Chair of Emergent Technologies Technical Committee, as well as Chair of Education Committee of the IEEE Engineering in Medicine and Biology Society (EMBS). He was President of the Asia-Pacific Neural Network Assembly (APNNA, renamed as APNNS – "Society") and received the APNNA Excellent Service Award. He was founding Chair of both the EMBS Singapore Chapter and CIS Singapore Chapter.