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Books and Theses
- 2017
[b1]Matthew Loper:
Human Shape Estimation using Statistical Body Models. University of Tübingen, Germany, 2017
Journal Articles
- 2018
- [j5]S. Y. Yeo, Javier Romero, Matthew Loper, J. Machann, Michael J. Black
:
Shape estimation of subcutaneous adipose tissue using an articulated statistical shape model. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(1): 51-58 (2018) - 2015
- [j4]Varun Jampani, Sebastian Nowozin, Matthew Loper, Peter V. Gehler:
The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models. Comput. Vis. Image Underst. 136: 32-44 (2015) - [j3]Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, Michael J. Black:
SMPL: a skinned multi-person linear model. ACM Trans. Graph. 34(6): 248:1-248:16 (2015) - 2014
- [j2]Matthew Loper, Naureen Mahmood, Michael J. Black:
MoSh: motion and shape capture from sparse markers. ACM Trans. Graph. 33(6): 220:1-220:13 (2014) - 2007
- [j1]Odest Chadwicke Jenkins, Germán González Serrano, Matthew Maverick Loper:
Interactive Human Pose and Action Recognition Using Dynamical Motion Primitives. Int. J. Humanoid Robotics 4(2): 365-385 (2007)
Conference and Workshop Papers
- 2021
- [c15]Soubhik Sanyal, Betty J. Mohler, Alex Vorobiov, Larry Davis, Timo Bolkart, Javier Romero, Matthew Loper, Michael J. Black:
Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency. ICCV 2021: 11118-11127 - 2019
- [c14]David Smith, Matthew Loper, Xiaochen Hu, Paris Mavroidis, Javier Romero:
FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second. ICCV 2019: 5329-5338 - 2015
- [c13]Javier Romero, Matthew Loper, Michael J. Black:
FlowCap: 2D Human Pose from Optical Flow. GCPR 2015: 412-423 - [c12]Federica Bogo, Michael J. Black, Matthew Loper, Javier Romero:
Detailed Full-Body Reconstructions of Moving People from Monocular RGB-D Sequences. ICCV 2015: 2300-2308 - 2014
- [c11]Federica Bogo, Javier Romero, Matthew Loper, Michael J. Black:
FAUST: Dataset and Evaluation for 3D Mesh Registration. CVPR 2014: 3794-3801 - [c10]Matthew M. Loper, Michael J. Black:
OpenDR: An Approximate Differentiable Renderer. ECCV (7) 2014: 154-169 - [c9]Aggeliki Tsoli, Matthew Loper, Michael J. Black:
Model-based anthropometry: Predicting measurements from 3D human scans in multiple poses. WACV 2014: 83-90 - 2012
- [c8]David A. Hirshberg, Matthew Loper, Eric Rachlin, Michael J. Black:
Coregistration: Simultaneous Alignment and Modeling of Articulated 3D Shape. ECCV (6) 2012: 242-255 - [c7]Soumya Ghosh, Erik B. Sudderth, Matthew Loper, Michael J. Black:
From Deformations to Parts: Motion-based Segmentation of 3D Objects. NIPS 2012: 2006-2014 - 2009
- [c6]Matthew Maverick Loper, Nathan P. Koenig, Sonia Chernova, Chris V. Jones, Odest Chadwicke Jenkins:
Mobile human-robot teaming with environmental tolerance. HRI 2009: 157-164 - 2007
- [c5]Odest Chadwicke Jenkins, Germán González Serrano, Matthew Maverick Loper:
Tracking human motion and actions for interactive robots. HRI 2007: 365-372 - [c4]Mykhaylo Kostandov, Jonas Schwertfeger, Odest Chadwicke Jenkins, Radu Jianu, Mark J. Buller, Daniel Hartmann, Matthew Loper, Aggeliki Tsoli, Marek Vondrak, Wenjin Zhou, Mark Fiala:
Robot gaming and learning using augmented reality. SIGGRAPH Posters 2007: 5 - 2006
- [c3]Odest Chadwicke Jenkins, Germán González Serrano, Matthew Loper:
Dynamical Motion Vocabularies for Kinematic Tracking and Activity Recognition. CVPR Workshops 2006: 147 - 2005
- [c2]Salil Apte, Matthew Loper, Pat McNally:
Enviromosaics. SIGGRAPH Posters 2005: 36 - 2004
- [c1]Wojciech Matusik, Matthew Loper, Hanspeter Pfister:
Progressively-Refined Reflectance Functions from natural Illumination. Rendering Techniques 2004: 299-308
Informal and Other Publications
- 2021
- [i3]Soubhik Sanyal, Alex Vorobiov, Timo Bolkart, Matthew Loper, Betty J. Mohler, Larry Davis, Javier Romero, Michael J. Black:
Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency. CoRR abs/2110.05458 (2021) - 2019
- [i2]David Smith, Matthew Loper, Xiaochen Hu, Paris Mavroidis, Javier Romero:
FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second. CoRR abs/1909.00883 (2019) - 2014
- [i1]Varun Jampani, Sebastian Nowozin, Matthew Loper, Peter V. Gehler:
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models. CoRR abs/1402.0859 (2014)
Coauthor Index
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