DevianceNet: Learning to Predict Deviance from a Large-Scale Geo-Tagged Dataset. - Jin-Hwi Park; Young-Jae Park; Junoh Lee; Hae-Gon Jeon (AAAI, 2022)

Non-Probability Sampling Network for Stochastic Human Trajectory Prediction. - Inhwan Bae; Jin-Hwi Park; Hae-Gon Jeon (CVPR, 2022)

Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction. - Inhwan Bae; Jin-Hwi Park; Hae-Gon Jeon (ECCV (22), 2022)

Learning Affinity with Hyperbolic Representation for Spatial Propagation. - Jin-Hwi Park; Jaesung Choe; Inhwan Bae; Hae-Gon Jeon (ICML, 2023)

Depth Prompting for Sensor-Agnostic Depth Estimation. - Jin-Hwi Park; Chanhwi Jeong; Junoh Lee; Hae-Gon Jeon (CVPR, 2024)

Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields. - Junoh Lee; Hyunjun Jung; Jin-Hwi Park; Inhwan Bae; Hae-Gon Jeon (ICLR, 2024)

A Simple yet Universal Framework for Depth Completion. - Jin-Hwi Park; Hae-Gon Jeon (NeurIPS, 2024)

What Makes Deviant Places? - Jin-Hwi Park; Youngjae Park; Ilyung Cheong; Junoh Lee; Young Eun Huh; Hae-Gon Jeon (IEEE Trans. Pattern Anal. Mach. Intell., 2024)