Intelligent Computational imaging Lab (ICL)
ICL 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 (~1 years)
(2024 Feb) Junseo Bang (ECE@SNU), Hoigi Seo (ECE@SNU) and Woojae Han (BC/EEE@Yonsei) will join our Lab as MS-PhD students. Sung Jin Lim (Samsung Electronics, FRE@Korea) will join our Lab as a MS student.
(2024 Jan) Gwanghyun Kim (PhD student) will work for NVIDIA as a research intern this semester.
(2024 Jan) Two papers will be presented at IPIU'24.
Dong Ju Mun (MS/PhD student), Dong Un Kang (PhD student), S Y Yie, J S Lee, Se Young Chun, "Self-supervised denoising in PET considering real noise characteristics," IPIU 2024
Seunggyu Lee (MS/PhD student), Byung Hyun Lee (MS/PhD student), Se Young Chun, "Expert classifier ensemble based post-processing correction for unbiased scene graph generation," IPIU 2024
(2024 Jan) One paper will be presented at AAAI'24 as an oral presentation.
Byung Hyun Lee (MS/PhD student), Min-hwan Oh, Se Young Chun, "Doubly Perturbed Task Free Continual Learning," AAAI 2024 [report]
(2023 Dec) Kyeonghyun Lee (Physics,ECE@SNU), Hyunjin Cho (ECE@SNU), Kyungryeol Lee (ECE@SNU) and Ye Eun Song (ECE@SNU) will continue winter internships at our Lab. Donggyu Lee (ECE@SNU) join winter internships at our Lab.
(2023 Dec) One paper accepted at ICASSP'24 as a Journal presentation.
Hanvit Kim (former PhD student@UNIST), Z Li, J Y Son (former undergraduate intern@UNIST), J A Fessler, Y K Dewaraja, Se Young Chun, "Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT," IEEE Transactions on Medical Imaging, 2023 [paper]
(2023 Nov) Gwanghyun Kim (PhD student) has received Qualcomm Innovation Fellowship Korea. Congratulations, Gwanghyun!
(2023 Nov) Se Young Chun has been appointed as an Associate Editor of IEEE Transactions on Image Processing (IF: 10.6).
(2023 Nov) One paper published at Plos One (IF: 3.7).
H Choi*, Byung Hyun Lee* (MS/PhD student), Se Young Chun**, J Lee**, "Towards accelerating model parallelism in distributed deep learning systems," Plos One 18(11): e0293338, Nov 2023 (*co-first authors, **co-corresponding authors) [paper]
(2023 Sep) Gwanghyun Kim (PhD student) will work for Google (NYC, USA) as a student researcher this semester.
(2023 Sep) One paper accepted at ICCVW'23
Haechang Lee* (PhD student), Wongi Jeong* (MS/PhD student), D I Ryu*, H W Je, A No, K J Kim**, Se Young Chun**, "Fully Quantized Always-on Face Detector Considering Mobile Image Sensors," ICCVW (LBQNN) 2023 (*co-first authors, **co-corresponding authors) (Oral) [report]
(2023 Aug) Hayeon Kim (ECE@SNU), Hyewon Bae (ECE@SNU) and Suh Yoon Jeon (ECE@SNU) will join our Lab as MS-PhD students.
(2023 Aug) Gwanghyun Kim (PhD student) has received Youlchon AI Star Award. Congratulations, Gwanghyun!
(2023 Jul) Four papers accepted at ICCV'23.
Haechang Lee* (PhD student), Dongwon Park* (Postdoc), Wongi Jeong* (MS/PhD student), K J Kim, H W Je, D I Ryu, Se Young Chun, "Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors," ICCV 2023 (*co-first authors) [paper][project][code]
Seongmin Hong (MS/PhD student), Inbum Park (undergraduate intern), Se Young Chun, "On the Robustness of Normalizing Flows for Inverse Problems in Imaging," ICCV 2023 [paper][project]
Byung Hyun Lee* (MS/PhD student), Okchul Jung* (MS student), J H Choi**, Se Young Chun**, "Online Continual Learning on Hierarchical Label Expansion," ICCV 2023 (*co-first authors, **co-corresponding authors) [paper][project]
Gwanghyun Kim (PhD student), Ji Ha Jang (MS/PhD student), Se Young Chun, "PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion," ICCV 2023 [paper][project][code]
(2023 Jun) One paper accepted at Medical Image Analysis (IF: 10.9)
K M Kim*, K B Lee*, S D Cho*, Dong Un Kang* (PhD student) et al. (including Se Young Chun**), "PAIP 2020: Microsatellite Instability Prediction in Colorectal Cancer," Medical Image Analysis, 2023 (*co-first authors, **co-corresponding authors) [paper]
(2023 Jun) Hoigi Seo (ECE@SNU) and Kyeonghyun Lee (Physics,ECE@SNU) will continue summer internships at our Lab. Jae Hong Moon, Heechang Kim, Hyunjin Cho, Kyungryeol Lee and Ye Eun Song (all ECE@SNU) will join summer internships at our Lab.
(2023 Apr) One paper accepted at IEEE Transactions on Medical Imaging (IF: 10.6)
Hanvit Kim (former PhD student@UNIST), Z Li, J Y Son (former undergraduate intern@UNIST), J A Fessler, Y K Dewaraja, Se Young Chun, "Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT," IEEE Transactions on Medical Imaging, 2023 [paper]
(2023 Feb) Two papers accepted at CVPR'23.
Gwanghyun Kim (PhD student), Se Young Chun, "DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model," CVPR 2023 [paper][project][code][video]
Dongwon Park (PhD student@UNIST, now Postdoc), Byunghyun Lee (MS/PhD student), Se Young Chun, "All-in-one Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations," CVPR 2023 [paper]