168 citations · 573 across the 29 of their papers we have counts for
8 papers · 1 filter
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images
Christian Zimmermann, Duygu Ceylan, Jimei Yang +3
Estimating 3D hand pose from single RGB images is a highly ambiguous problem that relies on an unbiased training dataset. In this paper, we analyze cross-dataset generalization whe…
Neural Re-Simulation for Generating Bounces in Single Images
Carlo Innamorati, Bryan Russell, Danny M. Kaufman +1
We introduce a method to generate videos of dynamic virtual objects plausibly interacting via collisions with a still image's environment. Given a starting trajectory, physically s…
Learning elementary structures for 3D shape generation and matching
Theo Deprelle, Thibault Groueix, Matthew Fisher +3
We propose to represent shapes as the deformation and combination of learnable elementary 3D structures, which are primitives resulting from training over a collection of shape. We…
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…
Finding Moments in Video Collections Using Natural Language
Victor Escorcia, Mattia Soldan, Josef Sivic +2
We introduce the task of retrieving relevant video moments from a large corpus of untrimmed, unsegmented videos given a natural language query. Our task poses unique challenges as…
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces
Senthil Purushwalkam, Abhinav Gupta, Danny M. Kaufman +1
We introduce an approach to model surface properties governing bounces in everyday scenes. Our model learns end-to-end, starting from sensor inputs, to predict post-bounce trajecto…