research
∙
08/24/2023
POCO: 3D Pose and Shape Estimation with Confidence
The regression of 3D Human Pose and Shape (HPS) from an image is becomin...
share
research
∙
04/20/2023
Reconstructing Signing Avatars From Video Using Linguistic Priors
Sign language (SL) is the primary method of communication for the 70 mil...
research
∙
03/31/2023
3D Human Pose Estimation via Intuitive Physics
Estimating 3D humans from images often produces implausible bodies that ...
research
∙
03/06/2023
Detecting Human-Object Contact in Images
Humans constantly contact objects to move and perform tasks. Thus, detec...
research
∙
12/14/2022
ECON: Explicit Clothed humans Optimized via Normal integration
The combination of deep learning, artist-curated scans, and Implicit Fun...
research
∙
10/25/2022
SUPR: A Sparse Unified Part-Based Human Representation
Statistical 3D shape models of the head, hands, and fullbody are widely ...
research
∙
09/26/2022
InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interaction
Humans constantly interact with daily objects to accomplish tasks. To un...
research
∙
06/14/2022
Accurate 3D Body Shape Regression using Metric and Semantic Attributes
While methods that regress 3D human meshes from images have progressed r...
research
∙
04/28/2022
Articulated Objects in Free-form Hand Interaction
We use our hands to interact with and to manipulate objects. Articulated...
research
∙
03/07/2022
Human-Aware Object Placement for Visual Environment Reconstruction
Humans are in constant contact with the world as they move through it an...
research
∙
01/07/2022
Embodied Hands: Modeling and Capturing Hands and Bodies Together
Humans move their hands and bodies together to communicate and solve tas...
research
∙
12/21/2021
GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping
Generating digital humans that move realistically has many applications ...
research
∙
12/16/2021
ICON: Implicit Clothed humans Obtained from Normals
Current methods for learning realistic and animatable 3D clothed avatars...
research
∙
05/11/2021
Collaborative Regression of Expressive Bodies using Moderation
Recovering expressive humans from images is essential for understanding ...
research
∙
12/21/2020
Populating 3D Scenes by Learning Human-Scene Interaction
Humans live within a 3D space and constantly interact with it to perform...
research
∙
08/25/2020
GRAB: A Dataset of Whole-Body Human Grasping of Objects
Training computers to understand, model, and synthesize human grasping r...
research
∙
08/20/2020
Monocular Expressive Body Regression through Body-Driven Attention
To understand how people look, interact, or perform tasks, we need to qu...
research
∙
10/24/2019
Learning Multi-Human Optical Flow
The optical flow of humans is well known to be useful for the analysis o...
research
∙
08/20/2019
Resolving 3D Human Pose Ambiguities with 3D Scene Constraints
To understand and analyze human behavior, we need to capture humans movi...
research
∙
08/02/2019
Learning to Train with Synthetic Humans
Neural networks need big annotated datasets for training. However, manua...
research
∙
04/11/2019
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
To facilitate the analysis of human actions, interactions and emotions, ...
research
∙
04/11/2019
Learning joint reconstruction of hands and manipulated objects
Estimating hand-object manipulations is essential for interpreting and i...
research
∙
04/03/2017
3D Object Reconstruction from Hand-Object Interactions
Recent advances have enabled 3d object reconstruction approaches using a...
research
∙
04/03/2017
Capturing Hand Motion with an RGB-D Sensor, Fusing a Generative Model with Salient Points
Hand motion capture has been an active research topic in recent years, f...
research
∙
04/03/2017
A Comparison of Directional Distances for Hand Pose Estimation
Benchmarking methods for 3d hand tracking is still an open problem due t...
research
∙
09/06/2016
Reconstructing Articulated Rigged Models from RGB-D Videos
Although commercial and open-source software exist to reconstruct a stat...
research
∙
06/06/2015