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20162019
most cited3D Object Discovery and Modeling Using Single RGB-D Images Containing Multiple Object Instances

7 citations · 7 across the 2 of their papers we have counts for

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7 papers · 1 filter

cs.CV2019

Unified Underwater Structure-from-Motion

Kazuto Ichimaru, Yuichi Taguchi, Hiroshi Kawasaki

This paper shows that accurate underwater 3D shape reconstruction is possible using a single camera, observing a target through a refractive interface. We provide unified reconstru…

cs.CV2018

VLASE: Vehicle Localization by Aggregating Semantic Edges

Xin Yu, Sagar Chaturvedi, Chen Feng +4

In this paper, we propose VLASE, a framework to use semantic edge features from images to achieve on-road localization. Semantic edge features denote edge contours that separate pa…

cs.CV2018

Joint 3D Reconstruction of a Static Scene and Moving Objects

Sergio Caccamo, Esra Ataer-Cansizoglu, Yuichi Taguchi

We present a technique for simultaneous 3D reconstruction of static regions and rigidly moving objects in a scene. An RGB-D frame is represented as a collection of features, which…

cs.CV20177 cited

3D Object Discovery and Modeling Using Single RGB-D Images Containing Multiple Object Instances

Wim Abbeloos, Esra Ataer-Cansizoglu, Sergio Caccamo +2

Unsupervised object modeling is important in robotics, especially for handling a large set of objects. We present a method for unsupervised 3D object discovery, reconstruction, and…

cs.CV2017

Detecting and Grouping Identical Objects for Region Proposal and Classification

Wim Abbeloos, Sergio Caccamo, Esra Ataer-Cansizoglu +3

Often multiple instances of an object occur in the same scene, for example in a warehouse. Unsupervised multi-instance object discovery algorithms are able to detect and identify s…

cs.CV2016

Global-Local Face Upsampling Network

Oncel Tuzel, Yuichi Taguchi, John R. Hershey

Face hallucination, which is the task of generating a high-resolution face image from a low-resolution input image, is a well-studied problem that is useful in widespread applicati…