Jungeun Kim (김정은)

• Integrated PhD program

• Department of Artificial Intelligence (인공지능대학원), Yonsei University  

• jekim5418@yonsei.ac.kr

• Undergraduate Major : Mathematics, Statistics 

• Research Interests : Machine Learning, Deep Learning, Generative Model, Model Compression, Object Detection

• LinkedIn : https://www.linkedin.com/in/jungeun-kim-383bb218a/

• GitHub : https://github.com/jekim5418

• Velog : https://velog.io/@jekim5418

• Publication :
  - Jungeun Kim†, Hyeongwoo Jeon†, Jongseong Bae, Ha Young Kim*, "Leveraging the Power of MLLMs for Gloss-Free Sign Language Translation," International Conference on Computer Vision (ICCV 2025), accepted, [BK+ CS IF=4] . 

- Jihwan Moon†, Jihoon Park†, Jungeun Kim†,  Jongseong Bae†,  Hyeongwoo Jeon, Ha Young Kim*, "DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model," Pattern Recognition Letters, accepted   [IF 2023: 3.9] (SCIE).

- Kisu Lee†, Jungeun Kim†, Ha Young Kim*, "Data Augmentation with Flickering Backgrounds and Instances for Instance Segmentation," IEEE Access, accepted  [IF 2023: 3.4] (SCIE).  
- Hyorim Shin, Jeongeun Park, Jungmin Yu, Jungeun Kim, Ha Young Kim, Changhoon Oh*, "Looping In: Exploring Feedback Strategies to Motivate Human Engagement in Interactive Machine Learning," accepted, International Journal of Human-Computer Interaction.(SSCI/SCIE).

- Jungeun Kim†, Junwon You†, Dongjin Lee, Ha Young Kim*, Jae-Hun Jung*, "Do Topological Characteristics Help in Knowledge Distillation?", accepted, International Conference on Machine Learning  (ICML 2024),   July 2024, [BK+ CS IF=4] .   

- Jungeun Kim, Ha Young Kim*, "CSLT-AK: Convolutional-embedded Transformer with an Action Tokenizer and Keypoint Emphasizer for Sign Language Translation," accepted, Pattern Recognition Letters, [IF 2022: 5.1] (SCIE).  

- Minchae Kim†, Jungeun Kim†, Ha Young Kim*, "Sign2Gloss2Text-based Sign Language Translation with Enhanced Spatial-temporal Information Centered on Sign Language Movement Keypoints ," Journal of Korea Multimedia Society, vol. 25, no. 10, Oct. 2022(KCI).  

- Jungeun Kim†, Jeongeun Park†, Ha Young Kim*, "ADEL: Adaptive Distribution Effective-matching Method for Guiding Generators of GANs", Asian Conference on Computer Vision (ACCV 2022), Dec. 2022. 

- Ji Hyun Jang , Jisang Yoon , Jungeun Kim , Jinmo Gu , Ha Young Kim*, "DeepOption: A Novel Option Pricing Framework Based on Deep Learning with Fused Distilled Data from Multiple Parametric Methods ", Information Fusion, volume 70, June 2021, pages 43-59, [IF 2020: 17.564, Rank: 1/109 (COMPUTER SCIENCE, THEORY & METHODS), 4/144 (COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ), IF(%)=0.459 < 1%] (SCIE) 

-Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheoyon Jin, Noseong Park, " DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation", AAAI Conference on Artificial Intelligence (AAAI 2021), 2021.

Jongseong Bae (배종성)

• Integrated PhD program

• Department of Artificial Intelligence (인공지능대학원), Yonsei University

• js.bae@yonsei.ac.kr

• Undergraduate Major: Statistics

• Research Interests: Machine Learning, Deep Learning, Computational Finance

• Publication:

- Jungeun Kim†, Hyeongwoo Jeon†, Jongseong Bae, Ha Young Kim*, "Leveraging the Power of MLLMs for Gloss-Free Sign Language Translation," International Conference on Computer Vision (ICCV 2025), accepted, [BK+ CS IF=4] . 

- Jongseong Bae†, Susang Kim†, Ha Young Kim*, "MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers," Pattern Recognition Letters, accepted [IF 2024: 3.3] (SCIE).

- Jeongmin Yu†, Jongseong Bae†, Ha Young Kim*, "HeLPNet: Facial Structure-aware Landmark Coordinate Regression with Heatmap-guided Local Patch Embedding," Neurocomputing, vol. 650, 14 October 025 [IF 2024: 6.5] (SCIE). 

- Jihwan Moon†, Jihoon Park†, Jungeun Kim†,  Jongseong Bae†,  Hyeongwoo Jeon, Ha Young Kim*, "DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model," Pattern Recognition Letters, vol. 196, October 2025, pp 117-125 [IF 2023: 3.9] (SCIE).

- Jongseong Bae†, Junwoo Ha†, Ha Young Kim*, "Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), June 2025, [BK+ CS IF=4] . 

- Sangrok Lee†, Jongseong Bae†, Ha Young Kim*, "Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023),   June 2023, [BK+ CS IF=4] .
- Jongseong Bae, Byung Do Cheon, Ha Young Kim*, "Pro-attention: Efficient Probability Distribution Matching-based Attention through Feature Space Conversion", IEEE Access, vol. 10, Dec. 2022, pages 131192-131201. [IF 2021: 3.476] (SCIE).

Jeongmin Yu (유정민) 

•  Researcher

•  Department of Artificial Intelligence (인공지능대학원), Graduate School of Information, Yonsei University

•  jeongminyu@yonsei.ac.kr 

•  Undergraduate major:  Computer Science & Engineering  

•  Research Interests : Deep Learning, Computer Vision, Facial Image Analysis, Generative Model

• Publication:
  - Jeongmin Yu†, Susang Kim†, Kisu Lee, Taekyoung Kwon, Won-Yong Shin, Ha Young Kim*, "Multi-View Slot Attention Using Paraphrased Texts for Face Anti-Spoofing," International Conference on Computer Vision (ICCV 2025), accepted, [BK+ CS IF=4] .

- Jeongmin Yu†, Jongseong Bae†, Ha Young Kim*, "HeLPNet: Facial Structure-aware Landmark Coordinate Regression with Heatmap-guided Local Patch Embedding," Neurocomputing, accepted  [IF 2024: 6.5] (SCIE). 

- Hyorim Shin, Jeongeun Park, Jungmin Yu, Jungeun Kim, Ha Young Kim, Changhoon Oh*, "Looping In: Exploring Feedback Strategies to Motivate Human Engagement in Interactive Machine Learning," accepted, International Journal of Human-Computer Interaction.(SSCI/SCIE).  

Junwoo Ha (하준우) 

• Integrated PhD program

• Department of Artificial Intelligence (인공지능대학원), Yonsei University

• gkwnsdn0402@yonsei.ac.kr

• Undergraduate Major: Electronic Engineering

• Research Interests: Machine Learning, Deep Learning, Computer Vision, Autonomous Driving

• Publication:

-Jongseong Bae†, Junwoo Ha†, Ha Young Kim*, "Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), accepted, June 2025, [BK+ CS IF=4] .