Inhwan Bae

According to our database, Inhwan Bae authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fully Explicit Dynamic Gaussian Splatting.

Junoh Lee, Changyeon Won, Hyunjun Jung, Inhwan Bae, Hae-Gon Jeon

CoRR, 2024

Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields.

Junoh Lee, Hyunjun Jung, Jin-Hwi Park, Inhwan Bae, Hae-Gon Jeon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Kinetic Typography Diffusion Model.

Seonmi Park, Inhwan Bae, Seunghyun Shin, Hae-Gon Jeon

Proceedings of the Computer Vision - ECCV 2024, 2024

SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model.

Inhwan Bae, Young-Jae Park, Hae-Gon Jeon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction.

Inhwan Bae, Junoh Lee, Hae-Gon Jeon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

What Is the Draw of the Metaverse? Personality Correlates of Zepeto Use Motives and Their Associations With Psychological Well-Being.

Eun-Ju Lee, Wonjae Lee, Inhwan Bae

Cyberpsychology Behav. Soc. Netw., March, 2023

Learning Affinity with Hyperbolic Representation for Spatial Propagation.

Jin-Hwi Park, Jaesung Choe, Inhwan Bae, Hae-Gon Jeon

Proceedings of the International Conference on Machine Learning, 2023

EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting.

Inhwan Bae, Jean Oh, Hae-Gon Jeon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Set of Control Points Conditioned Pedestrian Trajectory Prediction.

Inhwan Bae, Hae-Gon Jeon

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction.

Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon

Proceedings of the Computer Vision - ECCV 2022, 2022

Non-Probability Sampling Network for Stochastic Human Trajectory Prediction.

Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction.

Inhwan Bae, Hae-Gon Jeon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021