2nd Integrating Image Processing with Large-Scale Vision/Language Models for Advanced Visual Understanding Workshop

Prof. Yong Man Ro earned his Ph.D. degree from the Department of Electrical Engineering at KAIST. He conducted research at various institutions including Columbia University, the University of California, Irvine, and, Berkeley. Additionally, he served as a visiting professor at the University of Toronto. Currently, he holds the position of full professor at the School of Electrical Engineering and ICT endowed chair professor at KAIST. Furthermore, he is the director of the Center for Applied Research in Artificial Intelligence, the Image Video System Lab, and the Integrated Vision and Language Lab at KAIST. Prof. Ro has received notable recognition, including the Young Investigator Finalist Award from ISMRM in 1992 and the Scientist of the Year Award (Korea) in 2003. He has contributed to the academic community, has served as an associate editor for IEEE Signal Processing Letters and currently serving IEEE Transactions on Circuits and Systems for Video Technology. He is also the IVMSP committee member in the IEEE Signal Processing Society. Moreover, he has played key roles in organizing numerous international conferences, including serving as the organizing chair/program chair of MMM 2020/PCM 2015 and IWDW 2004. He has also curated several special sessions, such as "Explainable Deep Neural Networks for Image/Video Processing" at ICIP 2021 and 2022, "Digital Photo Album Technology" at AIRS 2005, "Social Media" at DSP 2009, and "Human 3D Perception and 3D Video Assessments" at DSP 2011. Prof. Ro's recent research interests span various AI areas, including deep learning in computer vision and image processing, multimodal learning, integrating vision, speech, and language for AI, explainable and robust AI. His scholarly output includes over 520 peer-reviewed papers published in international journals and conferences.

Prof. Wen-Huang Cheng is a University Distinguished Chair Professor in the Department of Computer Science and Information Engineering at National Taiwan University. His current research interests include multimedia, computer vision, and machine learning. He has actively participated in international events and played significant leadership roles in prestigious journals, conferences, and professional organizations. These roles include serving as Editor-in-Chief for IEEE CTSoc News on Consumer Technology, Senior Editor for IEEE Consumer Electronics Magazine (CEM), Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and IEEE Transactions on Multimedia (TMM), General Chair for ACM MMAsia (2023), IEEE ICME (2022), and ACM ICMR (2021), Chair for IEEE CASS Multimedia Systems and Applications (MSA) technical committee, and governing board member for IAPR. He has received numerous research and service awards, including the Best Paper Award at the 2021 IEEE ICME and the Outstanding Associate Editor Award of IEEE TMM (2021 and 2020, twice). He is an IEEE Fellow, IET Fellow, and ACM Distinguished Member.

Prof. Hak Gu Kim received the Ph.D. degree from the Department of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2019. From 2019 to 2021, he was a postdoctoral researcher at École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. He is currently an assistant professor at the Graduate School of Advanced Imaging Science, Multimedia & Films (GSAIM) in Chung-Ang University, South Korea. He served as the tutorial chair for the 2023 IEEE International Conference on Electronics, Information, and Communication (ICEIC). His research interests include deep learning and machine learning in 2D/3D/VR image and video processing and computer vision, human visual perception, multi-modal learning, and vulnerability of deep neural network for convergence of AI and reality.