1 citations · 1 across the 5 of their papers we have counts for
5 papers
3D Human Scan With A Moving Event Camera
Kai Kohyama, Shintaro Shiba, Yoshimitsu Aoki
Capturing a 3D human body is one of the important tasks in computer vision with a wide range of applications such as virtual reality and sports analysis. However, conventional fram…
TAG: Guidance-free Open-Vocabulary Semantic Segmentation
Yasufumi Kawano, Yoshimitsu Aoki
Semantic segmentation is a crucial task in computer vision, where each pixel in an image is classified into a category. However, traditional methods face significant challenges, in…
MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic Segmentation
Yasufumi Kawano, Yoshimitsu Aoki
Semantic segmentation is essential in computer vision for various applications, yet traditional approaches face significant challenges, including the high cost of annotation and ex…
Boosting Semantic Segmentation with Semantic Boundaries
Haruya Ishikawa, Yoshimitsu Aoki
In this paper, we present the Semantic Boundary Conditioned Backbone (SBCB) framework, a simple yet effective training framework that is model-agnostic and boosts segmentation perf…
FindView: Precise Target View Localization Task for Look Around Agents
Haruya Ishikawa, Yoshimitsu Aoki
With the increase in demands for service robots and automated inspection, agents need to localize in its surrounding environment to achieve more natural communication with humans b…