| 2024 | CVPR | What, How, and When Should Object Detectors Update in Continually Changing Test Domains? | Jayeon Yoo, Dongkwan Lee, Inseop Chung, Donghyun Kim, Nojun Kwak |
| 2023 | ICML | End-to-End Multi-Object Detection with a Regularized Mixture Model. | Jaeyoung Yoo, Hojun Lee, Seunghyeon Seo, Inseop Chung, Nojun Kwak |
| 2023 | WACV | Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation. | Inseop Chung, Jayeon Yoo, Nojun Kwak |
| 2022 | ECCV | Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box. | Jayeon Yoo, Inseop Chung, Nojun Kwak |
| 2022 | Interspeech | Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting. | Byeonggeun Kim, Seunghan Yang, Inseop Chung, Simyung Chang |
| 2022 | Interspeech | Personalized Keyword Spotting through Multi-task Learning. | Seunghan Yang, Byeonggeun Kim, Inseop Chung, Simyung Chang |
| 2022 | WACV | Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation. | Inseop Chung, Daesik Kim, Nojun Kwak |
| 2021 | ICCV | Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image. | Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak |
| 2020 | ICML | Feature-map-level Online Adversarial Knowledge Distillation. | Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak |
| 2020 | ICPR | Feature Fusion for Online Mutual Knowledge Distillation. | Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak |