Yeon-Ji Song

According to our database, Yeon-Ji Song authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Kinematics-Driven Gaussian Shape Deformation for Blurry Monocular Dynamic Scenes.

Yeon-Ji Song, Kiyoung Kwon, Junoh Lee, Jin-Hwa Kim, Byoung-Tak Zhang

CoRR, May, 2026

Relaxed Rigidity with Ray-based Grouping for Dynamic Gaussian Splatting.

Junoh Lee, Junmyeong Lee, Yeon-Ji Song, Inhwan Bae, Jisu Shin, Hae-Gon Jeon, Jin-Hwa Kim

CoRR, March, 2026

One-Shot 3-D Affordance Learning for Multi-Stage Robotic Manipulation.

Hyunseo Kim, Yeon-Ji Song, Minsu Lee, Byoung-Tak Zhang

IEEE Access, 2026

2025

DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting.

Yeon-Ji Song, Jaein Kim, Byung-Ju Kim, Byoung-Tak Zhang

CoRR, June, 2025

Ock: Unsupervised Dynamic Video Prediction With Object-Centric Kinematics.

Yeon-Ji Song, Jaein Kim, Suhyung Choi, Jin-Hwa Kim, Byoung-Tak Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Unsupervised Dynamics Prediction with Object-Centric Kinematics.

Yeon-Ji Song, Suhyung Choi, Jaein Kim, Jin-Hwa Kim, Byoung-Tak Zhang

CoRR, 2024

Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis.

Jaein Kim, Hee Bin Yoo, Dong-Sig Han, Yeon-Ji Song, Byoung-Tak Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition.

Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee

Proceedings of the Conference on Causal Learning and Reasoning, 2023