Scholar
Suha Kwak
Google Scholar ID: -gscDIEAAAAJ
POSTECH
Computer Vision
Machine Learning
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Citations & Impact
All-time
Citations
6,212
H-index
32
i10-index
55
Publications
20
Co-authors
76
list available
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Publications
16 items
RePL: Pseudo-label Refinement for Semi-supervised LiDAR Semantic Segmentation
2026
Cited
0
Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model
2026
Cited
0
TextME: Bridging Unseen Modalities Through Text Descriptions
2026
Cited
0
Learned split-spectrum metalens for obstruction-free broadband imaging in the visible
2026
Cited
0
VIRO: Robust and Efficient Neuro-Symbolic Reasoning with Verification for Referring Expression Comprehension
2026
Cited
0
Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection
2025
Cited
0
GroupCoOp: Group-robust Fine-tuning via Group Prompt Learning
2025
Cited
0
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
2025
Cited
0
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Resume (English only)
Academic Achievements
2024: 2 papers accepted at NeurIPS, 8 at ECCV (including 1 oral), 2 at ICML, 1 at NAACL, 1 at CVPR, 3 at WACV
2023: 2 at NeurIPS, 3 at ICCV, 1 at ICML, 3 at CVPR (including 1 highlight), 1 at ICRA
2022: 1 at NeurIPS, 2 at ECCV, 8 at CVPR (including 1 best paper finalist), 1 in IJCV, 1 at ACCV
Served as Area Chair for CVPR, ECCV, NeurIPS, ICCV, WACV, AAAI, ACCV, MVA, NAACL (2022–2024)
Nominated Outstanding Area Chair at ECCV 2024
Awarded Samsung Science and Technology Foundation research grant as PI
Team received multiple BK21 Best Paper Awards from POSTECH GSAI/CSE
Students awarded Google PhD Fellowship, Qualcomm Innovation Fellowship (2022/2023), NAVER PhD Fellowship, Graduate School Presidential Science Scholarship
Won KCCV Sang-Uk Lee Prize in 2023
Research featured in MSRA Highlighted Research and Donga Science
Background
Associate Professor of Artificial Intelligence and Computer Science at POSTECH
Faculty member of POSTECH Computer Vision Lab (CVLab@POSTECH)
Research focuses on computer vision and machine learning
Particularly interested in efficient learning, robustness, and fairness of vision models
Applies these principles to comprehensive video understanding and multi-modal perception
Co-authors
76 total
Minsu Cho
Mu-Eun-Jae Endowed Chair Professor, Associate Professor of CSE & AI, POSTECH
Bohyung Han
Professor, Electrical and Computer Engineering, Seoul National University
Dongwon Kim
POSTECH
Sungyeon Kim
POSTECH
Co-author 5
Co-author 6
Sohyun Lee
POSTECH
Sunghyun Cho
POSTECH
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