cv

PhD

Yonsei University, Seoul, Korea

Electrical and Electronic Engineering

• Advisor: Kwanghoon Sohn
• Dissertation: Language-guided spatiotemporal representation learning for video understanding

BS

Yonsei University, Seoul, Korea

Electrical and Electronic Engineering

Postdoctoral Fellow

Yonsei University

Visiting Researcher

NAVER Cloud AI Lab

Bootstrap your own views: Masked ego-exo modeling for fine-grained view-invariant video representations

Jungin Park, Jiyoung Lee†, and Kwanghoon Sohn†

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

Faster parameter-efficient tuning with token redundancy reduction

Kwonyoung Kim, Jungin Park†, Jin Kim, Hyeongjun Kwon, and Kwanghoon Sohn†

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

Bridging vision and language spaces with assignment prediction

Jungin Park, Jiyoung Lee†, and Kwanghoon Sohn†

International Conference on Learning Representations (ICLR)

Knowing where to focus: Event-aware transformer for video grounding

Jinhyun Jang, Jungin Park, Jin Kim, Hyeongjun Kwon, and Kwanghoon Sohn

IEEE/CVF International Conference on Computer Vision (ICCV)

Dual-path adaptation from image to video transformers

Jungin Park*, Jiyoung Lee*, and Kwanghoon Sohn

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

Partmix: Regularization strategy to learn part discovery for visible-infrared person re-identification

Minsu Kim, Seungryong Kim, Jungin Park, Seongheon Park, and Kwanghoon Sohn

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

Language-free training for zero-shot video grounding

Dahye Kim Jungin Park, Jiyoung Lee, Seongheon Park, and Kwanghoon Sohn

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Pointfix: Learning to fix domain bias for robust online stereo adaptation

Kwonyoung Kim, Jungin Park, Jiyoung Lee, Dongbo Min, and Kwanghoon Sohn

European Conference on Computer Vision (ECCV)

Probabilistic representations for video contrastive learning

Jungin Park, Jiyoung Lee, Ig-Jae Kim, and Kwanghoon Sohn

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

Pin the memory: Learning to generalize semantic segmentation

Jin Kim, Jiyoung Lee, Jungin Park, Dongbo Min, and Kwanghoon Sohn

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

Self-balanced learning for domain generalization

Jin Kim, Jiyoung Lee, Jungin Park, Dongbo Min, and Kwanghoon Sohn

IEEE International Conference on Image Processing (ICIP)

Bridge to answer: Structure-aware graph interaction network for video question answering

Jungin Park, Jiyoung Lee, and Kwanghoon Sohn

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

Cross-domain grouping and alignment for domain adaptive semantic segmentation

Minsu Kim, Sunghun Joung, Seungryong Kim, Jungin Park, Ig-Jae Kim, and Kwanghoon Sohn

AAAI Conference on Artificial Intelligence (AAAI)

Sumgraph: Video summarization via recursive graph modeling

Jungin Park*, Jiyoung Lee*, Ig-Jae Kim, and Kwanghoon Sohn

European Conference on Computer Vision (ECCV)

Context-aware emotion recognition networks

Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, and Kwanghoon Sohn

IEEE/CVF International Conference on Computer Vision (ICCV)

Video summarization by learning relationships between action and scene

Jungin Park, Jiyoung Lee, Sangryul Jeon, Seungryong Kim, and Kwanghoon Sohn

IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Graph regularization network with semantic affinity for weakly-supervised temporal action localization

Jungin Park, Jiyoung Lee, Sangryul Jeon, Seungryong Kim, and Kwanghoon Sohn

IEEE International Conference on Image Processing (ICIP)

Learning to detect, associate, and recognize human actions and surrounding scenes in untrimmed videos

Jungin Park, Sangryul Jeon, Seungryong Kim, Jiyoung Lee, Sunok Kim, and Kwanghoon Sohn

ACM Multimedia Workshop (MMW)

Academic Research Fellowship

Yonsei University

Outstanding 100 National Research Projects

Ministry of Science and ICT, Korea

Research assistant

3rd Place at the CoVieW 2019 ICCV Challenge

ICCV 2019 Workshop

2nd Place at the Workshop on Frontiers of Electrical Engineering

Yonsei University

Omni-modal Benchmarking and Learning

Omni-modal Data Construction and Integration towards Artificial General Intelligence

• Ministry of Science and ICT - Mid-level Research

Omni-modal Learning

Development of Omni-modal-based General-purpose Artificial Intelligence

• Yonsei University - Yonsei Signature Research Cluster

Multi-modal Learning

Development of Multimodal-based General-purpose Artificial Social Intelligence

• Yonsei University - Yonsei Signature Research Cluster

Multi-modal Learning

Development of Multi-modal Data Fusion and Artificial Social Intelligence for Comprehensive Scene Understanding and Prediction

• Ministry of Science – Mid-level Research

Domain Generalization and Adaptation

To Create AI Systems that Act Appropriately and Effectively in Novel Situations that Occur in Open Worlds

• Institute of Information&Communication Technology

Video Understanding

Fundamental Research of Vision Algorithms for Comprehensive and Thorough Video Understanding

• Ministry of Science, ICT, and Future Planning