3 papers
cs.MM2026
Multimodal Self-Attention Network with Temporal Alignment for Audio-Visual Emotion Recognition
Inyong Koo, yeeun Seong, Minseok Son +2
Audio-visual emotion recognition (AVER) methods typically fuse utterance-level features, and even frame-level attention models seldom address the frame-rate mismatch across modalit…
cs.CV2025
Towards Efficient Vision State Space Models via Token Merging
Jinyoung Park, Minseok Son, Changick Kim
State Space Models (SSMs) have emerged as powerful architectures in computer vision, yet improving their computational efficiency remains crucial for practical and scalable deploym…
cs.CV2024
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
Minseok Son, Inyong Koo, Jinyoung Park +1
When trained with severely imbalanced data, deep neural networks often struggle to accurately recognize classes with only a few samples. Previous studies in long-tailed recognition…