4 papers · 1 filter
Index-Preserving Lightweight Token Pruning for Efficient Document Understanding in Vision-Language Models
Jaemin Son, Sujin Choi, Inyong Yun
Recent progress in vision-language models (VLMs) has led to impressive results in document understanding tasks, but their high computational demands remain a challenge. To mitigate…
Edge and Identity Preserving Network for Face Super-Resolution
Jonghyun Kim, Gen Li, Inyong Yun +2
Face super-resolution (SR) has become an indispensable function in security solutions such as video surveillance and identification system, but the distortion in facial components…
DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation
Gen Li, Inyoung Yun, Jonghyun Kim +1
As a pixel-level prediction task, semantic segmentation needs large computational cost with enormous parameters to obtain high performance. Recently, due to the increasing demand f…
Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment
Inyong Yun, Cheolkon Jung, Xinran Wang +2
Pedestrians in videos have a wide range of appearances such as body poses, occlusions, and complex backgrounds, and there exists the proposal shift problem in pedestrian detection…