Gerard Pons-Moll

According to our database1, Gerard Pons-Moll authored at least 32 papers between 2009 and 2018.

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Bibliography

2018
Deep inertial poser: learning to reconstruct human pose from sparse inertial measurements in real time.
ACM Trans. Graph., 2018

Recovering Accurate 3D Human Pose in the Wild Using IMUs and a Moving Camera.
Proceedings of the Computer Vision - ECCV 2018, 2018

DoubleFusion: Real-Time Capture of Human Performances With Inner Body Shapes From a Single Depth Sensor.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Video Based Reconstruction of 3D People Models.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation.
Proceedings of the 2018 International Conference on 3D Vision, 2018

Single-Shot Multi-person 3D Pose Estimation from Monocular RGB.
Proceedings of the 2018 International Conference on 3D Vision, 2018

Detailed Human Avatars from Monocular Video.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2017
ClothCap: seamless 4D clothing capture and retargeting.
ACM Trans. Graph., 2017

Data-driven physics for human soft tissue animation.
ACM Trans. Graph., 2017

Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs.
Comput. Graph. Forum, 2017

A Generative Model of People in Clothing.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan Sequences.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Dynamic FAUST: Registering Human Bodies in Motion.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Human Pose Estimation from Video and IMUs.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning human body shapes in motion.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2016

2015
Human pose estimation from video and inertial sensors.
PhD thesis, 2015

Dyna: a model of dynamic human shape in motion.
ACM Trans. Graph., 2015

SMPL: a skinned multi-person linear model.
ACM Trans. Graph., 2015

Metric Regression Forests for Correspondence Estimation.
International Journal of Computer Vision, 2015

2014
Posebits for Monocular Human Pose Estimation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Metric Regression Forests for Human Pose Estimation.
Proceedings of the British Machine Vision Conference, 2013

2012
PCA-Enhanced Stochastic Optimization Methods.
Proceedings of the Pattern Recognition, 2012

Branch-and-price global optimization for multi-view multi-target tracking.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Data-Driven Manifolds for Outdoor Motion Capture.
Proceedings of the Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26, 2011

Exploiting Pedestrian Interaction via Global Optimization and Social Behaviors.
Proceedings of the Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26, 2011

Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Outdoor human motion capture using inverse kinematics and von mises-fisher sampling.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Efficient and Robust Shape Matching for Model Based Human Motion Capture.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

Model-Based Pose Estimation.
Proceedings of the Visual Analysis of Humans - Looking at People., 2011

2010
Analyzing and Evaluating Markerless Motion Tracking Using Inertial Sensors.
Proceedings of the Trends and Topics in Computer Vision, 2010

Multisensor-fusion for 3D full-body human motion capture.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Ball joints for Marker-less human Motion Capture.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009


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