| 2025 | CVPR | Continuous Locomotive Crowd Behavior Generation. | Inhwan Bae, Junoh Lee, Hae-Gon Jeon |
| 2025 | ICCV | Test-Time Prompt Tuning for Zero-Shot Depth Completion. | Chanhwi Jeong, Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon |
| 2024 | CVPR | Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction. | Inhwan Bae, Junoh Lee, Hae-Gon Jeon |
| 2024 | CVPR | SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model. | Inhwan Bae, Young-Jae Park, Hae-Gon Jeon |
| 2024 | ECCV | Kinetic Typography Diffusion Model. | Seonmi Park, Inhwan Bae, Seunghyun Shin, Hae-Gon Jeon |
| 2024 | ICLR | Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields. | Junoh Lee, Hyunjun Jung, Jin-Hwi Park, Inhwan Bae, Hae-Gon Jeon |
| 2023 | AAAI | A Set of Control Points Conditioned Pedestrian Trajectory Prediction. | Inhwan Bae, Hae-Gon Jeon |
| 2023 | ICCV | EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting. | Inhwan Bae, Jean Oh, Hae-Gon Jeon |
| 2023 | ICML | Learning Affinity with Hyperbolic Representation for Spatial Propagation. | Jin-Hwi Park, Jaesung Choe, Inhwan Bae, Hae-Gon Jeon |
| 2022 | CVPR | Non-Probability Sampling Network for Stochastic Human Trajectory Prediction. | Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon |
| 2022 | ECCV | Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction. | Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon |
| 2021 | AAAI | Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction. | Inhwan Bae, Hae-Gon Jeon |