Kwanyong Park

Research Scientist

ETRI

CV | Google Scholar | Github

I am a Research Scientist at Electronics and Telecommunications Research Institute (ETRI).

I received Ph.D. and M.S. degrees in Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST), where I was advised by In So Kweon.

I am broadly interested in computer vision and machine learning. Specifically, my research interests include

Scalable and Efficient Learning; Data-efficient Learning, Multi-modal Learning
Generative AI; Image/Video Generation, Multimodal Large Language Models
Visual Recognition; Video Understanding and Processing

but not limited to.

Contact

pkyong7 [at] etri.re.kr

pkyong7 [at] kaist.ac.kr
218, Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea, 34129

Education

PhD, Major in EE, KAIST, 2023

on "Towards Universal Visual Scene Understanding in the Wild"

Advisor: Prof. In So Kweon
MS, Major in EE, 2019

on "Learning unpaired video-to-video translation for domain adaptation"

Advisor: Prof. In So Kweon
BS, Double Major in ME and EE, KAIST, 2018

Research Experiences

ETRI, Daejeon, Korea (Military Service)

Sep 2023 - Present

Research Scientist, Visual Intelligence Lab
Adobe Research, San Jose, CA (Remote)

Apr 2021 - Dec 2021

Research Intern, Deep Learning Group, Creative Intelligence Lab
Mentor : Joon-Young Lee, SeoungWug Oh
KAIST, Daejeon, Korea

Mar 2018 - Aug 2023

Research Assistant, Robotics and Computer Vision Lab.

Publications

Learning Compositional Language-based Object Detection with Diffusion-Based Structured Synthetic Data

Kwanyong Park, Kuniaki Saito, Donghyun Kim

Under-review

*Also presented at CVPR 2024 Workshop on "Generative Models for Computer Vision"

[ Paper ]
MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark

Sanghyun Woo*, Kwanyong Park*, Inkyu Shin*, Myungchul Kim*, In So Kweon

CVPR 2024

[ Paper ]
KOALA: Fast and Memory-Efficient Latent Diffusion Models via Self-Attention Distillation

Youngwan Lee, Kwanyong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang

arXiv

*Also presented at CVPR 2024 Workshop on "Generative Models for Computer Vision"

Media coverage: covered by YTN, Yonhap News, AI Times, and many local media

[ Paper / Project page / Code ]
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management

Junha Song, Kwanyong Park, Inkyu Shin, Sanghyun Woo, Chaoning Zhang, and In So Kweon

RAL-ICRA 2024

[ Paper ]
Joint Self-supervised Learning and Adversarial Adaptation for Monocular Depth Depth Estimation from Thermal Image

Ukcheol Shin, Kwanyong Park, Byeong-Uk Lee, Kyunghyun Lee, In So Kweon

MVA 2023

[ Paper ]
Mask-guided Matting in the Wild

Kwanyong Park, Sanghyun Woo, Seoung Wug Oh, In So Kweon, Joon-Young Lee

CVPR 2023

[ Paper ]
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation

Daehan Kim*, Minseok Seo*, Kwanyong Park, Inkyu Shin, Sanghyun Woo, In So Kweon, Dong-Geol Choi

AAAI 2023

[ Paper ]
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation

Sungsu Hur, Inkyu Shin, Kwanyong Park, Sanghyun Woo, In So Kweon

WACV 2023

[ Paper ]
Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adaptation

Ukcheol Shin, Kwanyong Park, Byeong-Uk Lee, Kyunghyun Lee, In So Kweon

WACV 2023 [Best Student Paper]

[ Paper ]
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection

Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee

ECCV 2022

[ Paper ]
Tracking by Associating Clips

Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee

ECCV 2022

[ Paper ]
Per-Clip Video Object Segmentation

Kwanyong Park, Sanghyun Woo, Seoung Wug Oh, In So Kweon, Joon-Young Lee

CVPR 2022

[ Paper / Code ]
Unsupervised Domain Adaptation for Video Semantic Segmentation

Inkyu Shin*, Kwanyong Park*, Sanghyun Woo, In So Kweon (*: equal contribution)

arXiv

[ Paper ]
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation

Inkyu Shin, Dong-Jin Kim, Jae Won Cho, Sanghyun Woo, Kwanyong Park, In So Kweon

ICCV 2021 [Oral]

Received Qualcomm Innovation Award 2021

[ Paper ]
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation

Kwanyong Park, Sanghyun Woo, Inkyu Shin, In So Kweon

NeurIPS 2020

Received Qualcomm Innovation Award 2021

[ Paper ]
Align-and-Attend Network for Globally and Locally Coherent Video Inpainting

Sanghyun Woo, Dahun Kim, Kwanyong Park, Joon-Young Lee, In So Kweon

BMVC 2020

[ Paper ]
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation

Kwanyong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon

MM 2019

[ Paper ]