Physical Cue based Depth-Sensing by Color Coding with Deaberration Network

no code implementations • 1 Aug 2019 • Nao Mishima, Tatsuo Kozakaya, Akihisa Moriya, Ryuzo Okada, Shinsaku Hiura

Color-coded aperture (CCA) methods can physically measure the depth of a scene given by physical cues from a single-shot image of a monocular camera.

Depth Estimation

BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks

no code implementations • 7 Jun 2017 • Viet-Quoc Pham, Satoshi Ito, Tatsuo Kozakaya

We present a simple and effective framework for simultaneous semantic segmentation and instance segmentation with Fully Convolutional Networks (FCNs).

Bayesian Inference Instance Segmentation +3

COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation

no code implementations • ICCV 2015 • Viet-Quoc Pham, Tatsuo Kozakaya, Osamu Yamaguchi, Ryuzo Okada

This paper presents a patch-based approach for crowd density estimation in public scenes.

Density Estimation Scene Understanding