| 2025 | ICRA | CRAB: Camera-Radar Fusion for Reducing Depth Ambiguity in Backward Projection Based View Transformation. | In-Jae Lee, Sihwan Hwang, Youngseok Kim, Wonjune Kim, Sanmin Kim, Dongsuk Kum |
| 2025 | IROS | REOcc: Camera-Radar Fusion with Radar Feature Enrichment for 3D Occupancy Prediction. | Chaehee Song, Sanmin Kim, Hyeonjun Jeong, Juyeb Shin, Joonhee Lim, Dongsuk Kum |
| 2024 | CVPR | Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy. | Daejun Kang, Dongsuk Kum, Sanmin Kim |
| 2024 | ECCV | Beyond the Data Imbalance: Employing the Heterogeneous Datasets for Vehicle Maneuver Prediction. | Hyeong-Seok Jeon, Sanmin Kim, Abi Rahman Syamil, Junsoo Kim, Dongsuk Kum |
| 2024 | ECCV | LabelDistill: Label-Guided Cross-Modal Knowledge Distillation for Camera-Based 3D Object Detection. | Sanmin Kim, Youngseok Kim, Sihwan Hwang, Hyeonjun Jeong, Dongsuk Kum |
| 2023 | AAAI | CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer. | Youngseok Kim, Sanmin Kim, Jun Won Choi, Dongsuk Kum |
| 2023 | ICCV | Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images. | Sanmin Kim, Youngseok Kim, In-Jae Lee, Dongsuk Kum |
| 2023 | ICCV | CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception. | Youngseok Kim, Juyeb Shin, Sanmin Kim, In-Jae Lee, Jun Won Choi, Dongsuk Kum |
| 2023 | ICRA | Joint Semi-Supervised and Active Learning via 3D Consistency for 3D Object Detection. | Sihwan Hwang, Sanmin Kim, Youngseok Kim, Dongsuk Kum |