1 citations · 3 across the 11 of their papers we have counts for
5 papers · 2 filters
Learning Dense Wide Baseline Stereo Matching for People
Akin Caliskan, Armin Mustafa, Evren Imre +1
Existing methods for stereo work on narrow baseline image pairs giving limited performance between wide baseline views. This paper proposes a framework to learn and estimate dense…
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras
Andrew Gilbert, Matthew Trumble, Adrian Hilton +1
We aim to simultaneously estimate the 3D articulated pose and high fidelity volumetric occupancy of human performance, from multiple viewpoint video (MVV) with as few as two views.…
EdgeNet: Semantic Scene Completion from a Single RGB-D Image
Aloisio Dourado, Teofilo Emidio de Campos, Hansung Kim +1
Semantic scene completion is the task of predicting a complete 3D representation of volumetric occupancy with corresponding semantic labels for a scene from a single point of view.…
U4D: Unsupervised 4D Dynamic Scene Understanding
Armin Mustafa, Chris Russell, Adrian Hilton
We introduce the first approach to solve the challenging problem of unsupervised 4D visual scene understanding for complex dynamic scenes with multiple interacting people from mult…
Temporally Coherent General Dynamic Scene Reconstruction
Armin Mustafa, Marco Volino, Hansung Kim +2
Existing techniques for dynamic scene reconstruction from multiple wide-baseline cameras primarily focus on reconstruction in controlled environments, with fixed calibrated cameras…