Real-time sensing and modeling of the human body, especially the hands, is an important
research endeavor for various applicative purposes such as in natural human computer …

Abstract Analysis of hand-hand interactions is a crucial step towards better understanding
human behavior. However, most researches in 3D hand pose estimation have focused on …

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 …

We introduce a simple and effective network architecture for monocular 3D hand pose
estimation consisting of an image encoder followed by a mesh convolutional decoder that is …

We study the problem of understanding hand-object interactions from 2D images in the wild.
This requires reconstructing both the hand and the object in 3D, which is challenging …

A common approach to localize 3D human joints in a synchronized and calibrated multi-
view setup consists of two-steps:(1) apply a 2D detector separately on each view to localize …

Sketch-based image retrieval (SBIR) is a cross-modal matching problem which is typically
solved by learning a joint embedding space where the semantic content shared between …

Reconstructing interacting hands from monocular images is indispensable in AR/VR
applications. Most existing solutions rely on the accurate localization of each skeleton joint …

Egocentric videos offer fine-grained information for high-fidelity modeling of human
behaviors. Hands and interacting objects are one crucial aspect of understanding a viewer's …

Anatomical consistency in biomarker segmentation is crucial for many medical image
analysis tasks. A promising paradigm for achieving anatomically consistent segmentation …