| 2026 | ICPR | EMMNet: Learning Complementary Temporal and Structural Representations from EEG and MRI for Early Neurological Disorder Diagnosis. | Injae Lee, Jin-Hwi Park, Hyeonseo Jo, Young Chul Yoon, Joonki Paik |
| 2025 | ICCV | Test-Time Prompt Tuning for Zero-Shot Depth Completion. | Chanhwi Jeong, Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon |
| 2024 | CVPR | Depth Prompting for Sensor-Agnostic Depth Estimation. | Jin-Hwi Park, Chanhwi Jeong, Junoh Lee, 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 | ICML | Learning Affinity with Hyperbolic Representation for Spatial Propagation. | Jin-Hwi Park, Jaesung Choe, Inhwan Bae, Hae-Gon Jeon |
| 2022 | AAAI | DevianceNet: Learning to Predict Deviance from a Large-Scale Geo-Tagged Dataset. | Jin-Hwi Park, Young-Jae Park, Junoh Lee, 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 |