| 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 | RadarDistill: Boosting Radar-Based Object Detection Performance via Knowledge Distillation from LiDAR Features. | Geonho Bang, Kwangjin Choi, Jisong Kim, Dongsuk Kum, Jun Won Choi |
| 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 |
| 2024 | ICRA | RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection. | Jisong Kim, Minjae Seong, Geonho Bang, Dongsuk Kum, Jun Won Choi |
| 2024 | ICRA | Learning Terminal State of the Trajectory Planner: Application for Collision Scenarios of Autonomous Vehicles. | Joonhee Lim, Kibeom Lee, Jangho Shin, 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 |
| 2022 | AAAI | Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds. | Junho Koh, Jaekyum Kim, Jin Hyeok Yoo, Yecheol Kim, Dongsuk Kum, Jun Won Choi |
| 2022 | ICPR | Sequential Image-based 3D Object Detection with Location Refinement. | Sangmin Sim, Youngseok Kim, Dongsuk Kum |
| 2021 | CVPR | LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents. | Byeoungdo Kim, SeongHyeon Park, Seokhwan Lee, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, Jeong Soo Kim, Jun Won Choi |
| 2020 | ACCV | Low-Level Sensor Fusion for 3D Vehicle Detection Using Radar Range-Azimuth Heatmap and Monocular Image. | Jinhyeong Kim, Youngseok Kim, Dongsuk Kum |
| 2020 | ICPR | ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection. | Jin Hyeok Yoo, Dongsuk Kum, Jun Won Choi |
| 2020 | IROS | SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network. | Hyeong-Seok Jeon, Junwon Choi, Dongsuk Kum |
| 2020 | IROS | GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image. | Youngseok Kim, Junwon Choi, Dongsuk Kum |