Jiro Abe — accepted AI-conference papers

2025

NormalLoc: Visual Localization on Textureless 3D Models using Surface Normals

ICCV 2025poster

We propose NormalLoc, a novel visual localization method for estimating the 6-DoF pose of a camera using textureless 3D models. Existing methods often rely on color or texture information, limiting their applicability in scenarios where such information is unavailable. NormalLoc addresses this limit…

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2019

Convexity-edge-preserving Signal Recovery with Linearly Involved Generalized Minimax Concave Penalty Function

Jiro Abe, Masao Yamagishi, Isao Yamada

ICASSP 2019accepted

In this paper, we propose a new linearly involved convexity-preserving model for signal recovery by extending the idea in the generalized minimax concave (GMC) penalty [Se-lesnick' 17]. The proposed model can use nonconvex penalties but maintain the overall convexity and is applicable to much more g…

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