Intelligent Computational imaging Lab (ICL)
ICL (formerly, BMIPL) is studying modern signal processing and machine learning for computation imaging and medical imaging problems. We generalize and solve these problems so that the solutions can be applied not only to computational imaging itself, but also to low-level, physics-based computer vision applications and computational photography. ICL is publishing its works in major medical imaging / signal processing journals as well as in major machine learning / computer vision conferences. ICL is at the Department of Electrical and Computer Engineering, Seoul National University and is led by Se Young Chun. ICL is also affiliated with the Interdisciplinary Program in Artificial Intelligence, Seoul National University.
ICL is looking for graduate students / undergraduate interns who are interested in studying signal processing and machine learning for medical imaging, computational imaging and/or low-level, physics-based vision. For more information, click here.
Recent News / Publications (~2 years)
(2023 Feb) 2 papers accepted at CVPR'23 - 1 paper by Gwanghyun Kim (PhD student) and 1 paper by Dongwon Park (PhD student) and Byunghyun Lee (MS/PhD student).
(2023 Jan) ICL will participate in the AI-Bio Research Center of Seoul National University.
(2023 Jan) Seunggyu Lee (NAOE,ECE@SNU) and Ji Ha Jang (ECE@SNU) will join our Lab as MS-PhD students. Hyunwoo Lee (Samsung Research, CS@KNU) will join our Lab as a MS student.
(2022 Dec) Hayeon Kim (ECE@SNU), Kyeonghyun Lee (Physics,ECE@SNU), Seungchan Moon (ECE@SNU) and Jin Myeong Kim (ECE@SNU) will join our Lab for winter internships.
(2022 Dec) Dongwon Park defended his PhD thesis in EE@UNIST. He will join our Lab as a postdoc.
(2022 Nov) 1 paper by Seongmin Hong (MS/PhD student) accepted at AAAI'23.
(2022 Sep) Se Young Chun received a SNU College of Engineering Outstanding Teaching Award (graduate course).
(2022 Aug) Hae-chang Lee (SK hynix, Stats@Stanford) will join our Lab as a PhD student.
(2022 Aug) ICL will participate in the Pioneer Research Center Program (NRF, Korea).
(2022 Jul) ICL will participate in the Basic Research Lab Program (NRF, Korea) and in the Creative-Pioneering Researchers Program (Seoul National University).
(2022 Jun) Jaekeun Lee (ECE@SNU), Inbum Park (ECE@SNU), Seunggyu Lee (NAOE,ECE@SNU), and Hoigi Seo (ECE@SNU) will do summer internships at our Lab.
(2022 Feb) 1 paper accepted to Pattern Recognition Letters.
(2022 Feb) Joonhee Lee (LG Display, ECE@SNU), Gwanghyun Kim (BBE@KAIST) and Seongmin Hong (ECE@SNU) will join our Lab as PhD students. Won Gi Jeong (ECE@SNU) and Dong Ju Mun (LARSE/ECE@SNU) will join our Lab as MS-PhD students.
(2022 Jan) 1 paper accepted to IEEE ISBI'22.
(2022 Jan) Hanvit Kim defended his PhD thesis in EE@UNIST and will join ETRI as a researcher.
(2021 Dec) Junseo Lee (ECE@SNU), Jiho Kim (ECE@SNU), Ji Ha Jang (ECE@SNU), Seunggyu Lee (NAOE,ECE@SNU), and Jinha Park (ECE@SNU) will do winter internships at our Lab.
(2021 Dec) Se Young Chun gave a talk at IEEE Signal Processing Society Computational Imaging Webinar (click here to watch his talk on YouTube).Â
(2021 Oct) Se Young Chun will serve as an Area Chair of IEEE ICASSP'22.
(2021 Oct) 1 collaboration paper accepted to WACV'21.
(2021 Aug) Se Young Chun received a 2021 IEEE Signal Processing Society Outstanding Editorial Board Member Award for IEEE Transactions on Computational Imaging.
(2021 Aug) Okchul Jung (LS<ECE,BA>@SNU) will join our Lab as a MS-PhD student.
(2021 Aug) Temirlan Amangeldinov received BS in ECE@UNIST.
(2021 Jul) Se Young Chun is affiliated with Interdisciplinary Program in AI, Seoul National University.
(2021 Jul) 1 collaboration paper accepted to ICCV'21.
(2021 Jun) Si Yeon Noh (ECE@SNU), Won Gi Jeong (ECE@SNU), Chae Won Park (NE,ECE@SNU) and Sanghun Shin (NE,ECE@SNU) will do summer internships at our Lab.
(2021 Jun) Se Young Chun was acknowledged as an outstanding reviewer for CVPR'21.
(2021 Mar) 1 paper accepted to CVPR'21.