SuYeon Kim

M.S. Student
Kyung Hee University
Visual Science Laboratory
spoiuy3 (at) khu.ac.kr

About Me

I am a M.S. student at KyungHee University, VSLab.

Research Interests

Anomaly Detection: 3D anomaly detection, video anomaly detection
Others: human motion generation, 3D scene graph generation, multimodal learning

News

[Apr. 2026] My paper was selected as a highlight paper at CVPR 2026.
[Mar. 2026] Joined as an M.S. student at Kyung Hee University, VSLab.
[Feb. 2026] Two papers got accepted at CVPR 2026.
[Sep. 2025] One paper got accepted at NeurIPS 2026.

Publications

CVPR HIGHLIGHT

A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection

SuYeon Kim, Wongyu Lee, MyeongAh Cho

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 (Highlight)

PDF Code Project Page

CVPR

ParTY: Part-Guidance for Expressive Text-to-Motion Synthesis

KunHo Heo, SuYeon Kim, Yonghyun Gwon, Youngbin Kim, MyeongAh Cho

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 (Poster)

PDF Code Project Page

NeurIPS

Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction

KunHo Heo*, GiHyun Kim*, SuYeon Kim, MyeongAh Cho

The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025 (Poster)

PDF Code Project Page

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