7 citations · 7 across the 2 of their papers we have counts for
4 papers
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…
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…
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…
Learning to Remove Multipath Distortions in Time-of-Flight Range Images for a Robotic Arm Setup
Kilho Son, Ming-Yu Liu, Yuichi Taguchi
Range images captured by Time-of-Flight (ToF) cameras are corrupted with multipath distortions due to interaction between modulated light signals and scenes. The interaction is oft…