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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2016, Volume 9912, pp. 483 - 499
Conference Proceeding
International Journal of Computer Vision, ISSN 0920-5691, 9/2012, Volume 99, Issue 2, pp. 190 - 214
Journal Article
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 1513 - 1520
Human faces captured in real-world conditions present large variations in shape and occlusions due to differences in pose, expression, use of accessories such... 
Training | Shape | Face shape | Face recognition | Pose estimation | Estimation | Landmark estimation | Benchmark testing | Feature extraction | Robustness | Face | Occlusion | Human | Computer vision | Accessories | Conferences | Outerwear | Regression | Landmarks | Foods
Conference Proceeding
ACM Transactions on Graphics (TOG), ISSN 0730-0301, 07/2017, Volume 36, Issue 4, pp. 1 - 14
We present the first real-time method to capture the full global 3D skeletal pose of a human in a stable, temporally consistent manner using a single RGB... 
body pose | real time | monocular | Real time | Monocular | Body pose | COMPUTER SCIENCE, SOFTWARE ENGINEERING | PICTORIAL STRUCTURES | MODELS | MOTION CAPTURE | RECONSTRUCTION | TRACKING | PEOPLE
Journal Article
Computer Vision and Image Understanding, ISSN 1077-3142, 2007, Volume 108, Issue 1, pp. 52 - 73
Direct use of the hand as an input device is an attractive method for providing natural human–computer interaction (HCI). Currently, the only technology that... 
Gesture-based HCI | Hand pose estimation | Gesture recognition | gesture recognition | IMAGE | INTERFACE | HUMAN MOTION ANALYSIS | TRACKING | hand pose estimation | MODEL | gesture-based HCI | HUMAN-COMPUTER INTERACTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
International Journal of Computer Vision, ISSN 0920-5691, 6/2016, Volume 118, Issue 2, pp. 194 - 216
Journal Article
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 1302 - 1310
We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric representation, which we refer to as... 
Training | Runtime | Two dimensional displays | Pose estimation | Detectors | Computer architecture | Benchmark testing
Conference Proceeding
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 12/2013, Volume 35, Issue 12, pp. 2821 - 2840
Journal Article
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 4733 - 4742
Hierarchical feature extractors such as Convolutional Networks (ConvNets) have achieved impressive performance on a variety of classification tasks using... 
Training | Two dimensional displays | Pose estimation | Heating | Predictive models | Feature extraction | Mathematical model
Conference Proceeding
The International Journal of Robotics Research, ISSN 0278-3649, 12/2016, Volume 35, Issue 14, pp. 1697 - 1716
We present a novel approach to real-time dense visual simultaneous localisation and mapping. Our system is capable of capturing comprehensive dense globally... 
dense methods | large scale | RGB-D | SLAM | real-time | reflections | camera pose estimation | Surfel fusion | specular | GPU | light sources | ROBOTICS | Brain | Usage | Image processing | Localization of functions | Electronic cameras | Research | Robotics | Light sources | Mappings (Mathematics) | Tests, problems and exercises | Cameras | Light | Tracking | Robustness | Real time | Closures | Photometry | Optimization
Journal Article
IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, 12/2016, Volume 22, Issue 12, pp. 2633 - 2651
Journal Article
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 3487 - 3494
Typical approaches to articulated pose estimation combine spatial modelling of the human body with appearance modelling of body parts. This paper aims to push... 
Torso | Training | Head | Biological system modeling | human pose estimation | Estimation | Detectors | Joints | Computer vision | State of the art | Human body | Conferences | Body parts | Articulated | Models | Modelling | Representations
Conference Proceeding
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 5759 - 5767
We explore 3D human pose estimation from a single RGB image. While many approaches try to directly predict 3D pose from image measurements, we explore a simple... 
Training | Three-dimensional displays | Two dimensional displays | Pose estimation | Pipelines | Cameras | Libraries
Conference Proceeding
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 08/2016, Volume 38, Issue 8, pp. 1533 - 1547
Journal Article
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 5669 - 5678
In this paper, we propose to incorporate convolutional neural networks with a multi-context attention mechanism into an end-to-end framework for human pose... 
Convolutional codes | Visualization | Correlation | Biological system modeling | Pose estimation | Semantics
Conference Proceeding
International Journal of Computer Vision, ISSN 0920-5691, 9/2014, Volume 109, Issue 3, pp. 252 - 286
Journal Article