I am Jaehoon Jeong, a Ph.D. student at DGIST (Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea), supervised by Prof. Sanghyun Park. I received my B.S. degree in Convergence Engineering from DGIST. My research interests includes computer vision and medical image analysis. Currently, I am focusing on vision-language joint learning to improve various vision tasks such as detection, segmentation, and classification. Since April 2025, I have been working as a research intern at LG AI Research.

🔥 News

• 2025.06:  🎉 One paper accepted to ICCV 2025!
• 2025.04:  🎉 Started research internship at LG AI Research.

📝 Publications

🚀 Recent Works

ICCV 2025

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation

Seunghun Lee, Jiwan Seo, Minwoo Choi, Kiljoon Han, Jaehoon Jeong, Zane Durante, Ehsan Adeli†, Sang Hyun Park, Sunghoon Im†

📚 Others

• MICCAI 2024 InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations, Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Miguel Luna, Soopil Kim, Philip Chikontwe, Sang Hyun Park†
• TMI 2024 FR-MIL: Distribution re-calibration based multiple instance learning with transformer for whole slide image classification, Philip Chikontwe, Meejeong Kim, Jaehoon Jeong, Hyun Jung Sung, Heounjeong Go, Soo Jeong Nam, Sang Hyun Park†
• MICCAI 2023 Pronet: Point refinement using shape-guided offset map for nuclei instance segmentation, Siwoo Nam*, Jaehoon Jeong*, Miguel Luna, Philip Chikontwe, Sang Hyun Park†
• MedIA 2022 Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization, Philip Chikontwe, Hyun Jung Sung, Jaehoon Jeong, Meejeong Kim, Heounjeong Go, Soo Jeong Nam, Sang Hyun Park†
• Diagnostics 2022 “Classification of the Confocal Microscopy Images of Colorectal Tumor andInflammatory Colitis Mucosa Tissue Using Deep Learning, Jaehoon Jeong, Seung Taek Hong, Ihsan Ullah, Eun Sun Kim and Sang Hyun Park†

📖 Educations

• 2019.02 – Present, Integrated M.S.–Ph.D. in Robotics and Mechatronics Engineering, DGIST, Daegu, Republic of Korea.
• 2015.02 – 2019.02, B.S. in Convergence Engineering, DGIST, Daegu, Republic of Korea.

💻 Internships

• 2025.04 - Present, LG AI Research, Korea.

🔬 Projects & Co-works

• WSI Slide MSS-MSI Classification and Segmentation w/ Asan Medical Center
• Melanoma Tumor-Infiltrating Lymphocytes Segmentation w/ Gangneung Asan Hospital
• Endometrial Cancer Classification and Segmentation w/ Asan Medical Center
• Microscopy Tumor–Inflammation–Normal Classification w/ Korea University Medicine
• Development of AI-based Multimodal Endomicroscope for In Situ Diagnosis of Cancer Funded by the Ministry of Trade, Industry and Energy, the Ministry of Science and ICT, and the Ministry of Health and Welfare (Project No. 20001533)
• Artificial Intelligence for Localizing Toxicity in Pathological Images w/ DGIST (Daegu Gyeongbuk Institute of Science and Technology)