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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…
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…
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…
Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion
Jongseong Bae, Junwoo Ha, Ha Young Kim
Camera-based Semantic Scene Completion (SSC) is gaining attentions in the 3D perception field. However, properties such as perspective and occlusion lead to the underestimation of…