168 citations · 295 across the 3 of their papers we have counts for
6 papers
Unsupervised cycle-consistent deformation for shape matching
Thibault Groueix, Matthew Fisher, Vladimir G. Kim +2
We propose a self-supervised approach to deep surface deformation. Given a pair of shapes, our algorithm directly predicts a parametric transformation from one shape to the other r…
Learning Visual Importance for Graphic Designs and Data Visualizations
Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan +6
Knowing where people look and click on visual designs can provide clues about how the designs are perceived, and where the most important or relevant content lies. The most importa…
Localizing Moments in Video with Natural Language
Lisa Anne Hendricks, Oliver Wang, Eli Shechtman +3
We consider retrieving a specific temporal segment, or moment, from a video given a natural language text description. Methods designed to retrieve whole video clips with natural l…
PixelNet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal, Xinlei Chen, Bryan Russell +2
We explore design principles for general pixel-level prediction problems, from low-level edge detection to mid-level surface normal estimation to high-level semantic segmentation.…
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
Aayush Bansal, Bryan Russell, Abhinav Gupta
We introduce an approach that leverages surface normal predictions, along with appearance cues, to retrieve 3D models for objects depicted in 2D still images from a large CAD objec…
Understanding deep features with computer-generated imagery
Mathieu Aubry, Bryan Russell
We introduce an approach for analyzing the variation of features generated by convolutional neural networks (CNNs) with respect to scene factors that occur in natural images. Such…