Interacting attention graph for single image two-hand reconstruction
Graph convolutional network (GCN) has achieved great success in single hand
reconstruction task, while interacting two-hand reconstruction by GCN remains unexplored …
reconstruction task, while interacting two-hand reconstruction by GCN remains unexplored …
MEgATrack: monochrome egocentric articulated hand-tracking for virtual reality
We present a system for real-time hand-tracking to drive virtual and augmented reality
(VR/AR) experiences. Using four fisheye monochrome cameras, our system generates …
(VR/AR) experiences. Using four fisheye monochrome cameras, our system generates …
Stereonet: Guided hierarchical refinement for real-time edge-aware depth prediction
This paper presents StereoNet, the first end-to-end deep architecture for real-time stereo
matching that runs at 60 fps on an NVidia Titan X, producing high-quality, edge-preserved …
matching that runs at 60 fps on an NVidia Titan X, producing high-quality, edge-preserved …
Monocular total capture: Posing face, body, and hands in the wild
We present the first method to capture the 3D total motion of a target person from a
monocular view input. Given an image or a monocular video, our method reconstructs the …
monocular view input. Given an image or a monocular video, our method reconstructs the …
Resolving 3D human pose ambiguities with 3D scene constraints
To understand and analyze human behavior, we need to capture humans moving in, and
interacting with, the world. Most existing methods perform 3D human pose estimation …
interacting with, the world. Most existing methods perform 3D human pose estimation …
Nasa neural articulated shape approximation
Efficient representation of articulated objects such as human bodies is an important problem
in computer vision and graphics. To efficiently simulate deformation, existing approaches …
in computer vision and graphics. To efficiently simulate deformation, existing approaches …
Keypoint transformer: Solving joint identification in challenging hands and object interactions for accurate 3d pose estimation
We propose a robust and accurate method for estimating the 3D poses of two hands in close
interaction from a single color image. This is a very challenging problem, as large occlusions …
interaction from a single color image. This is a very challenging problem, as large occlusions …
Monocular real-time hand shape and motion capture using multi-modal data
We present a novel method for monocular hand shape and pose estimation at
unprecedented runtime performance of 100fps and at state-of-the-art accuracy. This is …
unprecedented runtime performance of 100fps and at state-of-the-art accuracy. This is …
Rgb2hands: real-time tracking of 3d hand interactions from monocular rgb video
Tracking and reconstructing the 3D pose and geometry of two hands in interaction is a
challenging problem that has a high relevance for several human-computer interaction …
challenging problem that has a high relevance for several human-computer interaction …
[HTML][HTML] Audio-visual speech and gesture recognition by sensors of mobile devices
Audio-visual speech recognition (AVSR) is one of the most promising solutions for reliable
speech recognition, particularly when audio is corrupted by noise. Additional visual …
speech recognition, particularly when audio is corrupted by noise. Additional visual …