VGI @ KU

SELECTED PUBLICATIONS

**ESC: Erasing Space Concept for Knowledge Deletion** T.-Y. Lee*, Sundong Park*, Minwoo Jeon*, Hyoseok Hwang^†, and **G.-M. Park**^† **CVPR 2025** Paper Link (TBU) | Code Link (TBU)

UDASS — **Universal Domain Adaptation for Semantic Segmentation** S.-A. Choe, K.-H. Park, Jinwoo Choi, and **G.-M. Park** **CVPR 2025** Paper Link (TBU) | Code Link (TBU)

**Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability** Unki Park, Seongmoon Jeong, Youngchan Jang, **G.-M. Park**^†, and Jong Hwan Ko^† **CVPR 2025** Paper Link (TBU) | Code Link (TBU)

**Multispectral Pedestrian Detection with Sparsely Annotated Label** Chan Lee*, Seungho Shin*, **G.-M. Park**^†, Jung Uk Kim^† **AAAI 2025** Paper Link | Code Link (TBU)

**WINE : Wavelet-Guided GAN Inversion and Editing for High-Fidelity Refinement** Seung-Jun Moon*, Chaewon Kim*, and **G.-M. Park**^† **WACV 2025** Paper Link | Code Link (TBU)

**Towards High-fidelity Head Blending with Chroma Keying for Industrial Applications** Hah Min Lew*, Sahngmin Yoo*, Hyunwoo Kang*, and **G.-M. Park**^† **WACV 2025** Paper Link | Code Link (TBU)

**Online Continuous Generalized Category Discovery** K.-H. Park, Hakyung Lee, Kyungwoo Song^†, and **G.-M. Park**^† **ECCV 2024** Paper Link | Code Link

Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning M.-Y. Park*, J.-H. Lee*, and G.-M. Park^† ECCV 2024 Paper Link | Code Link

**Towards Model-Agnostic Dataset Condensation by Heterogeneous Models** J.-Y. Moon, Jung Uk Kim^†, and **G.-M. Park**^† **ECCV 2024** (**Oral presentation**) Paper Link | Code Link

**Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners** K.-H. Park, Kyungwoo Song^†, and **G.-M. Park**^† **CVPR 2024** Paper Link | Code Link

**Generative Unlearning for Any Identity** J. Seo*, S.-H. Lee*, T.-Y. Lee*, Seung-Jun Moon, and **G.-M. Park**^† **CVPR 2024** Paper Link | Code Link

**Open-Set Domain Adaptation for Semantic Segmentation** S.-A. Choe*, A.-H. Shin*, K.-H. Park, Jinwoo Choi^†, and **G.-M. Park**^† **CVPR 2024** Paper Link | Code Link

**RADIO: Reference-Agnostic Dubbing Video Synthesis** Dongyeun Lee*, Chaewon Kim*, Sangjoon Yu, Jaejun Yoo^†, and **G.-M. Park**^† **WACV 2024** Paper Link

**GLAD: Global-Local View Alignment and Background Debiasing for Video Domain Adaptation** Hyogun Lee*, Kyungho Bae*, Seong Jong Ha, Yumin Ko, **G.-M. Park**^†, and Jinwoo Choi^† **WACV 2024** Paper Link | Code Link

**Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning** J.-Y. Moon*, K.-H. Park*, Jung Uk Kim^†, and **G.-M. Park**^† **ICCV 2023** Paper Link | Code Link

**LFS-GAN: Lifelong Few-Shot Image Generation** J. Seo*, Ji-Su Kang*, and **G.-M. Park**^† **ICCV 2023** Paper Link | Code Link

**LINe: Out-of-Distribution Detection by Leveraging Important Neurons** Yong Hyun Ahn, **G.-M. Park**^†, and Seong Tae Kim^† **CVPR 2023** Paper Link | Code Link

**IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion** Seungjun Moon and **G.-M. Park**^† **ECCV 2022** Paper Link | Code Link

NEWS

[2025-03-01]

"Jae-Ho Lee" continues his research as a Ph.D. member in our lab.

[2025-03-01]

New M.S. member "Won-Jeong Lee" and New Integrated M.S.-Ph.D. member "Habin Lim" join our lab. Welcome!

[2025-03-01]

We have moved to the Department of Artificial Intelligence at Korea University.

[2025-02-27]

Three papers were accepted to CVPR 2025.

[2024-12-11]

One paper was accepted to AAAI 2025.

[2024-10-28]

Two papers were accepted to WACV 2025.

[2024-09-23]

One paper was accepted to EMNLP 2024 Findings.

[2024-08-12]

Our paper has been accepted for Oral presentation at ECCV 2024! (acceptance rate = 2.33%)

[2024-07-02]

Three papers were accepted to ECCV 2024.

[2024-06-05]

One paper was accepted to Remote Sensing.

[2024-05-29]

One paper was accepted to Image and Vision Computing.

[2024-03-01]

New M.S. member "Min-Jae Kim" join our lab. Welcome!

[2024-02-27]

Three papers were accepted to CVPR 2024.

[2023-10-25]

Two papers were accepted to WACV 2024.

[2023-09-01]

A new M.S.-Ph.D. member "Tae-Young Lee" joins our lab. Welcome!

[2023-09-01]

New M.S. members "Keon-Hee Park", "Seon-An Choe", and "Min-Yeong Park" join our lab. Welcome!

[2023-07-14]

Two papers were accepted to ICCV 2023.

[2023-06-20]

One paper was accepted to IEEE Access.

[2023-03-02]

A new M.S.-Ph.D. member "Jun-Yeong Moon" joins our lab. Welcome!

[2023-03-02]

New M.S. members "Jae-Ho Lee", and "Juwon Seo" join our lab. Welcome!

[2023-02-28]

One paper was accepted to CVPR 2023.

[2023-02-02]

We got the award in KSC 2022 from the paper titled "Prompt Based Incremental Learning Using Attention Diversity". Congratulations!

[2023-02-02]

We got the award in KSC 2022 from the paper titled "Few-Shot Image Generation via Learning Disentangled Feature". Congratulations!

[2023-02-02]

We got the award in KSC 2022 from the paper titled "Dynamic and Assistant Prompts for Class Incremental Learning". Congratulations!

[2022-09-01]

A new M.S. member "Jiwon Hwang" joins our lab. Welcome!

[2022-07-22]

We got the award in KCC 2022 from the paper titled "Lifelong Language Learning Using Pretrained Adapters". Congratulations!

[2022-07-04]

One paper was accepted to ECCV 2022.

[2022-03-02]

A new M.S. member "Sung-Hoon Lee" joins our lab. Welcome!

[2022-02-03]

We got the award in KSC 2021 from the paper titled "Vision Transformer Based Continual Learning". Congratulations!

[2021-09-01]

We have got a new research grant titled “Patient-specific General Intelligence for Effective Early Diagnosis of Arrhythmia” (2021.09.01 ~ 2024.02.28, NRF).

[2021-09-01]

A new M.S. member "Ah-Hyung Shin" joins our lab. Welcome!

[2021-06-16]

One paper was accepted to IEEE TCYB (IF: 11.1, JCR 0.8%).

[2021-05-25]

We got the award in KCC 2021 from the paper titled "AnoFormer: Anomalous Rhythm Detection wth Transformer-based GAN". Congratulations!

[2021-03-01]

Assistant professor at KHU (~ 2021).

RECRUITMENT

We are looking for graduate/undergraduate students to research together in Visual & General Intelligence Laboratory (VGI Lab.) at Department of AI, Korea University. In our lab, we are interested in developing multi-modal AI algorithms associated with computer vision and natural language processing, studing continual learning techniques of modern deep learning algorithms, learning methods for future AI, deep generative models, embodied AI, and medical AI. If you are interested in the above research fields, please contact Prof. Gyeong-Moon Park (gm-park@korea.ac.kr).
고려대학교 인공지능학과 시각 및 범용 지능 연구실(VGI Lab.)에서 함께 연구할 대학원생 및 학부연구생을 모집합니다. VGI 연구실에서는 컴퓨터비전, 자연어처리 등 복합모달 인공지능 알고리즘 개발과 딥러닝의 연속학습 기술, 강인공지능을 위한 통계적 학습 이론, 심층 생성모델, Embodied AI, 그리고 의료 인공지능 분야를 연구하고 있습니다. 위 연구분야에 관심있거나 진학 관련 상담을 원하는 학생은 박경문 교수(gm-park@korea.ac.kr)에게 연락 바랍니다.

Visual & General Intelligence Lab.

Continual Learning

Learning Methods for Future AI

Deep Generative AI

Multi-Modal AI