activity
20172021
most citedVerification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network

13 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 1 cited

Style Similarity as Feedback for Product Design

Mathew Schwartz, Tomer Weiss, Esra Ataer-Cansizoglu +1

Matching and recommending products is beneficial for both customers and companies. With the rapid increase in home goods e-commerce, there is an increasing demand for quantitative…

cs.CV2019★ 13 cited

Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network

Esra Ataer-Cansizoglu, Michael Jones, Ziming Zhang +1

Face super-resolution methods usually aim at producing visually appealing results rather than preserving distinctive features for further face identification. In this work, we prop…

cs.CV2018★ 3 cited

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.CV2017★ 7 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…