Intelligent Vision Processing Lab. (IVPL) at Sookmyung Women’s University is a leading research group dedicated to advancing intelligent image and video processing through AI-driven methodologies. Directed by Prof. Byung-Gyu Kim, IVPL focuses on next-generation visual intelligence, deep learning architectures, video coding, multimodal AI systems, and hardware–algorithm co-design for real-world applications.
Our research spans a wide spectrum of topics, including:
IVPL maintains a strong global research network, collaborating with renowned institutions including Virginia Tech. and the University of Akron (USA), National Taiwan University (Taiwan), IIT Roorkee, IIT Bhubaneswar, and IIIT Kalyani (India), La Trobe University and Griffith University (Australia), Nanchang Hangkong University and Tsinghua University (China), and VSB–Technical University of Ostrava (Czech Republic).
In close partnership with industry leaders such as LG Electronics, ETRI, Urban Data Lab Inc., and NVIDIA Korea, IVPL bridges fundamental research with practical innovation. Our diverse team of researchers actively publishes in top-tier journals and conferences, striving to shape the future of visual AI and intelligent multimedia systems.
Ah-Hyeon Lee, Yu-Jin Cho - The Best Paper Award, KMMS Autumn Conference.
Qurat Ul Ain Aisha, Ah-Hyeon Lee - Excellent Paper Award, KMMS Autumn Conference.
Yu-Jin Cho, Ah-Hyeon Lee - Excellent Paper Award, KMMS Autumn Conference.
Qurat Ul Ain Aisha†, Ji-Hoon Choi†, Se-In Choi†, Joo-Yeon Kim, Yu-min Lee - Excellent Paper Award, KMMS Autumn Conference.
Yu-jin Cho, A-Hyeon Lee - The Best Paper Award, The 21th International Conference on Multimedia Information Technology and Applications (MITA 2025), GRAND HYATT JEJU, Jeju Island, KOREA.
Young-Ju Choi - The Best Paper Award, KMMS Autumn Conference.
Young-Ju Choi et al. - The Best Paper Award, The 19th International Conference on Multimedia Information Technology and Applications (MITA 2023), Czech Republic.
Byung-Gyu Kim, Ye-Ji Kim, Han-Lim Lee, Chae-Lin Kim - The First Prize, DNA+Drone Data Challenge (http://challenge-dnadrone.com/) by Ministry of Science and ICT, Korea.
Young-Jin Heo, Byung-Gyu Kim, The Best Paper Award, Journal of Multimedia Information System 2022.
Byung-Gyu Kim, Hye-Jin Park, Jung-In Jang, Young-Ju Choi, Young-Woon Lee - The Grand Prize, DNA+Drone Challenge (http://challenge-dnadrone.com/) by Ministry of Science and ICT, Korea.
Hye-Jin Park, Jung-In Jang, Young-Ju Choi - Best Paper Award, The 17th International Conference on Multimedia Information Technology and Applications (MITA 2021).
Ye-Won Kang, Seo-Won Kim, Byung-Gyu Kim - The Best Paper Award, KMMS Autumn Conference.
Byung-Gyu Kim, The Best Paper Award, Journal of Multimedia Information System 2021.
Young-Woon Lee, Excellent Paper Award, IEEE International Conference on Consumer Electronics 2021 (by IEEE CT Society).
The Best Paper Award, KMMS Autumn Conference.
Da-Mi Jung - Best Paper Award, KMMS Spring Conference.
Byung-Gyu Kim - Best Paper Award, IWIMTPS 2018.
Byung-Gyu Kim - Excellent Contribution Award, Korea Digital Contents Society.
Young-Ju Choi - Best Paper Award, KMMS Autumn Conference.
Ji-Hae Kim - Best Paper Award, KMMS Spring Conference.
Ji-Hae Kim - Best Paper Award, KMMS Autumn Conference
B. Hilmi - Special Merit Award for Outstanding Paper, IEEE ICCE2012.
Byung-Gyu Kim - Best Paper Award, ETRI.
· Congratulations! Prof. Kim appointed as Associate Editor - IEEE TCE!
· International Research Collaboration Announcement...!!!
· Congratulations to Dr. Young-Ju Choi on the publication of the paper in top-tier journal...!!!
· [Congratulation!] Paper Accepted in Neural Computing and Applications!
· [CFP] IEEE International Conference on Image Processing (ICIP 2026), to be held in Tampere, Finland!
· [CFP] Int'l Conf on Multimedia Information Technology and Applications(MITA2026) in New Zealand..!!
· [CFP] European Conference on Computer Vision 2026...!!!
· [CFP] ACM ICEA conference 2025 3-5 December Melbourne Australia
· [DL Basics] Classifer-to-Detector
· [DL Basics] Transfer Learning (1& 2)