Sungha Choi

31 papers A* 9C 1Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
ForeSea: AI Forensic Search with Multi-modal Queries for Video Surveillance.
CoRR
Hyojin Park, Yi Li, Janghoon Cho, Sungha Choi, Jungsoo Lee, Taotao Jing, Shuai Zhang, Munawar Hayat, Dashan Gao, Ning Bi, Fatih Porikli
2025 J jnl
Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation.
CoRR
Minho Park, Sunghyun Park, Jungsoo Lee, Hyojin Park, Kyuwoong Hwang, Fatih Porikli, Jaegul Choo, Sungha Choi
2025 A* conf
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation.
CVPR
Jungsoo Lee, Debasmit Das, Munawar Hayat, Sungha Choi, Kyuwoong Hwang, Fatih Porikli
2025 J jnl
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation.
CoRR
Jungsoo Lee, Debasmit Das, Munawar Hayat, Sungha Choi, Kyuwoong Hwang, Fatih Porikli
2025 J jnl
FLoC: Facility Location-Based Efficient Visual Token Compression for Long Video Understanding.
CoRR
Janghoon Cho, Jungsoo Lee, Munawar Hayat, Kyuwoong Hwang, Fatih Porikli, Sungha Choi
2025 J jnl
Generalized Contrastive Learning for Universal Multimodal Retrieval.
CoRR
Jungsoo Lee, Janghoon Cho, Hyojin Park, Munawar Hayat, Kyuwoong Hwang, Fatih Porikli, Sungha Choi
2025 J jnl
Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation.
CoRR
Sunghyun Park, Jungsoo Lee, Shubhankar Borse, Munawar Hayat, Sungha Choi, Kyuwoong Hwang, Fatih Porikli
2025 J jnl
Think Straight, Stop Smart: Structured Reasoning for Efficient Multi-Hop RAG.
CoRR
Jihwan Bang, Juntae Lee, Seunghan Yang, Sungha Choi
2024 — conf
Feature Diversification and Adaptation for Federated Domain Generalization.
ECCV (72)
Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun
2024 J jnl
Feature Diversification and Adaptation for Federated Domain Generalization.
CoRR
Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun
2023 A* conf
EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization.
CVPR
Junha Song, Jungsoo Lee, In So Kweon, Sungha Choi
2023 J jnl
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization.
CoRR
Junha Song, Jungsoo Lee, In So Kweon, Sungha Choi
2023 A* conf
Progressive Random Convolutions for Single Domain Generalization.
CVPR
Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun
2023 J jnl
Progressive Random Convolutions for Single Domain Generalization.
CoRR
Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun
2023 A* conf
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation.
ICLR
Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi
2023 J jnl
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation.
CoRR
Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi
2023 A* conf
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization.
ICCV
Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi
2023 J jnl
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization.
CoRR
Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi
2022 — conf
Improving Test-Time Adaptation Via Shift-Agnostic Weight Regularization and Nearest Source Prototypes.
ECCV (33)
Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun
2022 J jnl
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes.
CoRR
Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun
2021 A* conf
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening.
CVPR
Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo
2021 J jnl
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening.
CoRR
Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo
2021 A* conf
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation.
ICCV
Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
2021 J jnl
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation.
CoRR
Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
2020 A* conf
Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks.
CVPR
Sungha Choi, Joanne Taery Kim, Jaegul Choo
2020 J jnl
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks.
CoRR
Sungha Choi, Joanne Taery Kim, Jaegul Choo
2020 J jnl
Towards Lightweight Lane Detection by Optimizing Spatial Embedding.
CoRR
Seokwoo Jung, Sungha Choi, Mohammad Azam Khan, Jaegul Choo
2019 A* conf
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation.
CVPR
Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo
2018 J jnl
Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation.
CoRR
Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo
2013 J jnl
A New Ensemble Learning Algorithm using Regional Classifiers.
Int. J. Artif. Intell. Tools
Byungwoo Lee, Sungha Choi, Byonghwa Oh, Jihoon Yang, Sungyong Park
2007 C conf
Ensembles of Region Based Classifiers.
CIT
Sungha Choi, Byungwoo Lee, Jihoon Yang