• Publications
  • Influence
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild
This paper addresses the problem of 3D human pose estimation in the wild. A significant challenge is the lack of training data, i.e., 2D images of humans annotated with 3D poses. Such data isExpand
  • 183
  • 17
  • PDF
LCR-Net: Localization-Classification-Regression for Human Pose
We propose an end-to-end architecture for joint 2D and 3D human pose estimation in natural images. Key to our approach is the generation and scoring of a number of pose proposals per image, whichExpand
  • 151
  • 15
  • PDF
LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images
We propose an end-to-end architecture for joint 2D and 3D human pose estimation in natural images. Key to our approach is the generation and scoring of a number of pose proposals per image, whichExpand
  • 92
  • 15
  • PDF
Understanding Everyday Hands in Action from RGB-D Images
We analyze functional manipulations of handheld objects, formalizing the problem as one of fine-grained grasp classification. To do so, we make use of a recently developed fine-grained taxonomy ofExpand
  • 78
  • 10
  • PDF
Randomized trees for human pose detection
This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the availability of cleanExpand
  • 162
  • 9
  • PDF
Ambiguity Modeling in Latent Spaces
We are interested in the situation where we have two or more representations of an underlying phenomenon. In particular we are interested in the scenario where the representation are complementary.Expand
  • 64
  • 9
  • PDF
3D Hand Pose Detection in Egocentric RGB-D Images
We focus on the task of hand pose estimation from egocentric viewpoints. For this problem specification, we show that depth sensors are particularly informative for extracting near-field interactionsExpand
  • 87
  • 8
  • PDF
First-person pose recognition using egocentric workspaces
We tackle the problem of estimating the 3D pose of an individual's upper limbs (arms+hands) from a chest mounted depth-camera. Importantly, we consider pose estimation during everyday interactionsExpand
  • 67
  • 7
  • PDF
Depth-Based Hand Pose Estimation: Methods, Data, and Challenges
Hand pose estimation has matured rapidly in recent years. The introduction of commodity depth sensors and a multitude of practical applications have spurred new advances. We provide an extensiveExpand
  • 65
  • 6
  • PDF
Depth-Based Hand Pose Estimation: Data, Methods, and Challenges
Hand pose estimation has matured rapidly in recent years. The introduction of commodity depth sensors and a multitude of practical applications have spurred new advances. We provide an extensiveExpand
  • 131
  • 4
  • PDF