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cs.CV2024
MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers
Jongseong Bae, Susang Kim, Minsu Cho +1
Active research is currently underway to enhance the efficiency of vision transformers (ViTs). Most studies have focused solely on effective token mixers, overlooking the potential…
cs.CV2024
DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model
JiHwan Moon, Jihoon Park, Jungeun Kim +3
Sign language translation (SLT) is challenging, as it involves converting sign language videos into natural language. Previous studies have prioritized accuracy over diversity. How…
cs.CV2024
Leveraging the Power of MLLMs for Gloss-Free Sign Language Translation
Jungeun Kim, Hyeongwoo Jeon, Jongseong Bae +1
Sign language translation (SLT) is a challenging task that involves translating sign language images into spoken language. For SLT models to perform this task successfully, they mu…