Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction. - Inhwan Bae; Hae-Gon Jeon (AAAI, 2021)

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)

A Set of Control Points Conditioned Pedestrian Trajectory Prediction. - Inhwan Bae; Hae-Gon Jeon (AAAI, 2023)

EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting. - Inhwan Bae; Jean Oh; Hae-Gon Jeon (ICCV, 2023)

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

What Is the Draw of the Metaverse? Personality Correlates of Zepeto Use Motives and Their Associations With Psychological Well-Being. - Eun-Ju Lee 001; Wonjae Lee; Inhwan Bae (Cyberpsychology Behav. Soc. Netw., 2023)

Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction. - Inhwan Bae; Junoh Lee; Hae-Gon Jeon (CVPR, 2024)

SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model. - Inhwan Bae; Young-Jae Park; Hae-Gon Jeon (CVPR, 2024)

Kinetic Typography Diffusion Model. - Seonmi Park; Inhwan Bae; Seunghyun Shin; Hae-Gon Jeon (ECCV (34), 2024)

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

Fully Explicit Dynamic Gaussian Splatting. - Junoh Lee; Changyeon Won; Hyunjun Jung; Inhwan Bae; Hae-Gon Jeon (NeurIPS, 2024)

Continuous Locomotive Crowd Behavior Generation. - Inhwan Bae; Junoh Lee; Hae-Gon Jeon (CVPR, 2025)