M.S.–Ph.D. Integrated Course in Electrical Engineering and Computer Science, DGIST, Mar 2019 - present.
Publications
Mitigating Noisy Correspondence in Video-Text Retrieval via Noise-mined Adaptive Self-Labeling Jeonghoon Kim*, Hyeon Kang*, Jihun Park, Jinhwoi Kim, Jaeyeul Kim, Sunghoon Im†
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) , 2026
[Paper] Video-Text Retrieval / Noisy Correspondence
Temporal Grounding as a Learning Signal for Referring Video Object Segmentation Seunghun Lee*, Jiwan Seo*, Jeonghoon Kim*, Sungho Moon*, Siwon Kim, Haeun Yun, Hyogyeong Jeon, Wonhyeok Choi, Jaehoon Jeong, Zane Durante, Sang Hyun Park, Sunghoon Im†
arXiv preprint ( arXiv ), 2026
[Paper] Referring Video Object Segmentation / Video Temporal Grounding
Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains Jaeyeul Kim*, Jungwan Woo*, Jeonghoon Kim, Sunghoon Im†
European Conference on Computer Vision (ECCV), 2024
[Paper] [Code] LiDAR perception/Generalization/Autonomous Driving
ProFeat: Unsupervised Image Clustering via Progressive Feature Refinement Jeonghoon Kim, Sunghoon Im, Sunghyun Cho†
Pattern Recognition Letters (PRL), 2022
CVPR workshop on Learning From Limited or Imperfect Data (CVPRw), 2021
[Paper] Scene Understanding/Data Hungry
Jeonghoon Kim, Sunghoon Im, Sunghyun Cho, "ProFeat: Unsupervised Image Clustering via Progressive Feature Refinement", CVPR workshop on Learning From Limited or Imperfect Data (CVPRw), 2021.
Scholarships & Awards
2nd place on the Autonomous Driving A.I challenge, organized by MOLIT (국토교통부), 2022. [certificate]
