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Beyond Scaling Laws
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# High-dimensional Generative Foundation Models
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
Saemi Moon, Minjong Lee, Sangdon Park, Dongwoo Kim ·
ICCV
· 2025
# Foundation Model for Robotics
A Real-world Display Inverse Rendering Dataset
Seokjun Choi, Hoon-Gyu Chung, Yujin Jeon, Giljoo Nam, Seung-Hwan Baek ·
ICCV
· 2025
# Foundation Model for Robotics
SOUNDBOOST: Effective RCA and Attack Detection for UAV via Acoustic Side-Channel
Haoran Wang, Zheng Yang, Sangdon Park, Yibin Yang, Seulbae Kim, Willian Lunardi, Martin Andreoni, Taesoo Kim, Wenke Lee ·
DSN
· 2025
# Foundation Model for Robotics
ChronoBias: A Benchmark for Evaluating Time-conditional Group Bias in the Time-sensitive Knowledge of Large Language Models
Kyungmin Kim, Youngbin Choi, Hyounghun Kim, Dongwoo Kim, Sangdon Park ·
EMNLP
· 2025
# Foundation Model for Robotics
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
Sohyun Lee, Yeho Gwon, Lukas Hoyer, Suha Kwak ·
NeurIPS
· 2025
# Foundation Model for Robotics
Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens
Dongwon Kim, Ju He, Qihang Yu, Chenglin Yang, Xiaohui Shen, Suha Kwak, Liang-Chieh Chen ·
ICCV
· 2025
# Foundation Model for Robotics
Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning
Sungyeon Kim, Donghyun Kim, Suha Kwak ·
WACV
· 2025
# Breakthrough in Neural Scaling Law
Retrieval-Augmented Generation with Estimation of Source Reliability
Jeongyeon Hwang, Junyoung Park, Hyejin Park, Dongwoo Kim, Sangdon Park, Jungseul Ok ·
EMNLP
· 2025
# Foundation Model for Robotics
Combinative Matching for Geometric Shape Assembly
Nahyuk Lee, Juhong Min, Junhong Lee, Chunghyun Park, Minsu Cho ·
ICCV
· 2025
# Foundation Model for Robotics
Axis-level Symmetry Detection with Group-equivariant Representation
Wongyun Yu, Ahyun Seo, Minsu Cho ·
ICCV
· 2025
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