Search Results for author: Hideaki Uchiyama

Found 4 papers, 1 papers with code

Toward unlabeled multi-view 3D pedestrian detection by generalizable AI: techniques and performance analysis

no code implementations8 Aug 2023 João Paulo Lima, Diego Thomas, Hideaki Uchiyama, Veronica Teichrieb

In this context, we investigate two approaches for automatically labeling target data: pseudo-labeling using a supervised detector and automatic labeling using an untrained detector (that can be applied out of the box without any training).

Pedestrian Detection

MOTSLAM: MOT-assisted monocular dynamic SLAM using single-view depth estimation

no code implementations5 Oct 2022 Hanwei Zhang, Hideaki Uchiyama, Shintaro Ono, Hiroshi Kawasaki

In this paper, we present MOTSLAM, a dynamic visual SLAM system with the monocular configuration that tracks both poses and bounding boxes of dynamic objects.

3D Object Tracking Autonomous Driving +3

TetraTSDF: 3D human reconstruction from a single image with a tetrahedral outer shell

1 code implementation CVPR 2020 Hayato Onizuka, Zehra Hayirci, Diego Thomas, Akihiro Sugimoto, Hideaki Uchiyama, Rin-ichiro Taniguchi

In this paper, we propose the tetrahedral outer shell volumetric truncated signed distance function (TetraTSDF) model for the human body, and its corresponding part connection network (PCN) for 3D human body shape regression.

3D Human Reconstruction regression

Cannot find the paper you are looking for? You can Submit a new open access paper.