CV

Summary

Ph.D. candidate in the Department of Computer Science at Korea University advised by Prof. Hyunwoo J. Kim.  The PDF version of the CV is available at the following link.

Research Interests: Deep Learning, Computer Vision, 3D Vision, Efficient DL, Multi-modal Learning, Point Clouds

Education

B.S. (Mar 2016 ~ Sep 2020)

Bachelor of Science, Computer Science and Engineering at Korea University

Ph.D. (Sep 2020 ~ Present)

M.S. & Ph.D. integrated program, Computer Science and Engineering at Korea University. (Advisor: Hyunwoo J. Kim)

Publications
(*: equal contribution)

2024

[6] vid-TLDR: Training Free Token merging for Light-weight Video Transformer

Conference on Computer Vision and Pattern Recognition (CVPR), 2024

[5] Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision

Conference on Computer Vision and Pattern Recognition (CVPR), 2024

2023

[4] Read-only Prompt Optimization for Vision-Language Few-shot Learning

International Conference on Computer Vision (ICCV), 2023

[3] Self-positioning Point-based Transformer for Point Cloud Understanding

Conference on Computer Vision and Pattern Recognition (CVPR), 2023

2022

[2] SageMix: Saliency-Guided Mixup for Point Clouds

Conference on Neural Information Processing Systems (NeurIPS), 2022

2021

[1] Point Cloud Augmentation with Weighted Local Transformations

International Conference on Computer Vision (ICCV), 2021

Under Review / Pre-print

[U] Robust Multimodal 3D Object Detection via Modality-Agnostic Decoding and Proximity-based Modality Ensemble

under review

Experience

Machine Learning & Vision Lab (MLV Lab) (Sep 2020 ~ Present) 

Graduate Student Researcher


Projects

Drone Laps (May 2021 ~ Dec 2021)

Startup, Cofounder 

Patents

[3] 3D DATA AUGMENTATION METHOD USING WEIGHTED LOCAL TRANSFORMATION AND APPARATUS THEREFOR

[2] METHOD FOR GENERATING HIGH QUALITY VIDEO WITH PROFESSIONAL FILMING TECHNIQUES THROUGH DEEP LEARNING TECHNOLOGY BASED 3D SPACE MODELING AND POINT-OF-VIEW SYNTHESIS AND APPARATUS FOR SAME

[1] METHOD AND APPARATUS FOR READ-ONLY PROMPT LEARNING

Presentations or Talks

[2] Token Reductions for Efficient Vision Transformers
Short talk about MCTF & vid-TLDR @ Naver AI Lab (Naver 1784), Mar 2024
[1] 3D Point Cloud and Transformer
Short talk / Tutorial for SageMix @ Korean Computer Vision Society (KCVS) Workshop, Feb 2023

HONORS & AWARDS

Services

LinkedIn
GitHub
Email
Link