| 2025 | ICML | Fine-Grained Captioning of Long Videos through Scene Graph Consolidation. | Sanghyeok Chu, Seonguk Seo, Bohyung Han |
| 2025 | WACV | Re-Evaluating Group Robustness via Adaptive Class-Specific Scaling. | Seonguk Seo, Bohyung Han |
| 2025 | WACV | Revisiting Machine Unlearning with Dimensional Alignment. | Seonguk Seo, Dongwan Kim, Bohyung Han |
| 2025 | WACV | Metric Compatible Training for Online Backfilling in Large-Scale Retrieval. | Seonguk Seo, Mustafa Gkhan Uzunbas, Bohyung Han, Sara Cao, Ser-Nam Lim |
| 2024 | CVPR | Relaxed Contrastive Learning for Federated Learning. | Seonguk Seo, Jinkyu Kim, Geeho Kim, Bohyung Han |
| 2022 | AAAI | Information-Theoretic Bias Reduction via Causal View of Spurious Correlation. | Seonguk Seo, Joon-Young Lee, Bohyung Han |
| 2022 | CVPR | InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering. | Mijeong Kim, Seonguk Seo, Bohyung Han |
| 2022 | CVPR | Unsupervised Learning of Debiased Representations with Pseudo-Attributes. | Seonguk Seo, Joon-Young Lee, Bohyung Han |
| 2020 | ECCV | URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark. | Seonguk Seo, Joon-Young Lee, Bohyung Han |
| 2020 | ECCV | Learning to Optimize Domain Specific Normalization for Domain Generalization. | Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, Bohyung Han |
| 2019 | CVPR | Domain-Specific Batch Normalization for Unsupervised Domain Adaptation. | Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han |
| 2019 | CVPR | Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences. | Seonguk Seo, Paul Hongsuck Seo, Bohyung Han |