Generalized Contrastive Learning for Universal Multimodal Retrieval.
Jungsoo Lee, Janghoon Cho, Hyojin Park, Munawar Hayat, Kyuwoong Hwang, Fatih Porikli, Sungha Choi
NeurIPS 2025

Understanding Personal Concept in Open-Vocabulary Semantic Segmentation.
Sunghyun Park*, Jungsoo Lee*, Shubhankar Borse, Munawar Hayat, Sungha Choi, Kyuwoong Hwang, and Fatih Porikli
ICCV 2025
[Arxiv]

CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation.
Jungsoo Lee, Debasmit Das, Munawar Hayat, Sungha Choi, Kyuwoong Hwang, and Fatih Porikli .
CVPR 2025
[Arxiv]

Addressing distribution shift in computer vision.
Jungsoo Lee
PhD Thesis
[KAIST Library]

Towards Open-set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization.
Jungsoo Lee, Debasmit Das, Jaegul Choo, and Sungha Choi.
ICCV 2023
[Arxiv]

CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, and Jaegul Choo
ICCV 2023
[Arxiv]

Deep Imbalanced Time-series Forecasting via Local Discrepancy Density.
Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, and Edward Choi.
ECML/PKDD 2023
[Arxiv]

EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization.
Junha Song, Jungsoo Lee, In So Kweon, and Sungha Choi.
CVPR 2023
[Arxiv]

Revisiting the Importance of Amplifying Bias for Debiasing
Jungsoo Lee*, Jeonghoon Park*, Daeyoung Kim*, Juyoung Lee, Edward Choi, and Jaegul Choo (*: equal contributions)
AAAI 2023, Accepted as Oral Presentation
[Arxiv] [Github]

DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation.
Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung, Nyoungwoo Lee, Ho-jin Choi, and Jaegul Choo.
EuroVis 2022 (Short paper)

Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children
Jungsoo Lee*, Jooyeol Yun*, Sunghyun Park, Yonggyu Kim, and Jaegul Choo (*: equal contributions)
BMVC 2021
[Arxiv] [Github]

Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee*, Eungyeup Kim*, Juyoung Lee, Jihyeon Lee, and Jaegul Choo (*: equal contributions)
NeurIPS 2021, Accepted as Oral Presentation (<1%)
[Arxiv] [Github]

Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
Sanghun Jung*, Jungsoo Lee*, Daehoon Gwak, Sungha Choi, and Jaegul Choo (*: equal contributions)
ICCV 2021, Accepted as Oral Presentation (<3%)
[Arxiv] [Github] [Video]

Understanding Human-side Impact of Sampling Image Batches in Subjective Attribute Labeling
Chaeyeon Chung*, Jungsoo Lee*, Kyungmin Park, Junsoo Lee, Minjae Kim, Mookyung Song, Yeonwoo Kim, Jaegul Choo, and Sungsoo (Ray) Hong (*: equal contributions)
CSCW 2021
[ACM DL] [Github]

Love in Lyrics: An Exploration of Supporting Textual Manifestation of Affection in Social Messaging
Taewook Kim, Jungsoo Lee, Zhenhui Peng, and Xiaojuan Ma
CSCW 2019
[ACM DL]