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

[Sep. 2026] One paper got accepted at NeurIPS 2026.
[Aug. 2026] Selected as a recipient of the NRF Research Subsidies for Master’s Students grant (Annual research budget: 12 million KRW).
[Jul. 2026] One paper got accepted at IEEE Transactions on Industrial Informatics (TII).
[Jul. 2026] Selected as a recipient of the Presidential Science Scholarship for Graduate Students (Korea)!
[Jun. 2026] One paper got accepted at ECCV 2026.
[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

NeurIPS

Towards Generalizable 3D Anomaly Detection via Relational Inconsistency Modeling

KunHo Heo*, SuYeon Kim*, Hayoung Lee, Chanse Oh, MyeongAh Cho

The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS), 2026 (Poster)

PDF Code Project Page

TII

Selective Audio–Visual Fusion via Semantic Calibration for Video Surveillance System

Youngbin Kim, Wongyu Lee, SuYeon Kim, MyeongAh Cho

IEEE Transactions on Industrial Informatics, Jul. 2026

PDF

ECCV

Rethinking prototype-based similarity learning for few-shot object detection

KunHo Heo*, Seungjae Kim*, Wongyu Lee*, SuYeon Kim, MyeongAh Cho

European Conference on Computer Vision (ECCV), 2026 (Poster)

PDF Code Project Page

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, Top 3.57%)

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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