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Semantic ScholarMichael J. Black
Michael Julian Black
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- affiliation: Max Planck Institute for Intelligent Systems Tuebingen, Germany
- affiliation (former): Department of Computer Science, Brown University
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2010 – today
- 2019
[i24]Rahul Tallamraju, Eric Price, Roman Ludwig, Kamalakar Karlapalem, Heinrich H. Bülthoff, Michael J. Black, Aamir Ahmad:
Active Perception based Formation Control for Multiple Aerial Vehicles. CoRR abs/1901.07813 (2019)- 2018
- [j48]Mazen Al Borno, Ludovic Righetti, Michael J. Black, Scott L. Delp, Eugene Fiume, Javier Romero:
Robust Physics-based Motion Retargeting with Realistic Body Shapes. Comput. Graph. Forum 37(8): 81-92 (2018) - [j47]S. Y. Yeo, J. Romero, M. Loper, J. Machann, Michael J. Black:
Shape estimation of subcutaneous adipose tissue using an articulated statistical shape model. CMBBE: Imaging & Visualization 6(1): 51-58 (2018) - [j46]Anne Thaler, Ivelina V. Piryankova, Jeanine K. Stefanucci, Sergi Pujades, Stephan de la Rosa, Stephan Streuber, Javier Romero, Michael J. Black, Betty J. Mohler:
Visual Perception and Evaluation of Photo-Realistic Self-Avatars From 3D Body Scans in Males and Females. Front. ICT 2018 (2018) - [j45]Eric Price, Guilherme Lawless, Roman Ludwig, Igor Martinovic, Heinrich H. Bülthoff, Michael J. Black, Aamir Ahmad:
Deep Neural Network-Based Cooperative Visual Tracking Through Multiple Micro Aerial Vehicles. IEEE Robotics and Automation Letters 3(4): 3193-3200 (2018) - [j44]Yinghao Huang, Manuel Kaufmann, Emre Aksan, Michael J. Black, Otmar Hilliges, Gerard Pons-Moll:
Deep inertial poser: learning to reconstruct human pose from sparse inertial measurements in real time. ACM Trans. Graph. 37(6): 185:1-185:15 (2018) - [c131]
- [c130]Silvia Zuffi, Angjoo Kanazawa, Michael J. Black:
Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape From Images. CVPR 2018: 3955-3963 - [c129]Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik:
End-to-End Recovery of Human Shape and Pose. CVPR 2018: 7122-7131 - [c128]Timo von Marcard, Roberto Henschel, Michael J. Black, Bodo Rosenhahn, Gerard Pons-Moll:
Recovering Accurate 3D Human Pose in the Wild Using IMUs and a Moving Camera. ECCV (10) 2018: 614-631 - [c127]Joel Janai, Fatma Güney, Anurag Ranjan, Michael J. Black, Andreas Geiger:
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions. ECCV (16) 2018: 713-731 - [c126]Anurag Ranjan, Timo Bolkart, Soubhik Sanyal, Michael J. Black:
Generating 3D Faces Using Convolutional Mesh Autoencoders. ECCV (3) 2018: 725-741 - [c125]Nikolas Hesse, Sergi Pujades, Javier Romero, Michael J. Black, Christoph Bodensteiner, Michael Arens, Ulrich G. Hofmann, Uta Tacke, Mijna Hadders-Algra, Raphael Weinberger, Wolfgang Müller-Felber, A. Sebastian Schroeder:
Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis. MICCAI (1) 2018: 792-800 - [c124]Rahul Tallamraju, Sujit Rajappa, Michael J. Black, Kamalakar Karlapalem, Aamir Ahmad:
Decentralized MPC based Obstacle Avoidance for Multi-Robot Target Tracking Scenarios. SSRR 2018: 1-8 - [i23]Eric Price, Guilherme Lawless, Heinrich H. Bülthoff, Michael J. Black, Aamir Ahmad:
Deep Neural Network-based Cooperative Visual Tracking through Multiple Micro Aerial Vehicles. CoRR abs/1802.01346 (2018) - [i22]Rahul Tallamraju, Sujit Rajappa, Michael J. Black, Kamalakar Karlapalem, Aamir Ahmad:
Decentralized MPC based Obstacle Avoidance for Multi-Robot Target Tracking Scenarios. CoRR abs/1805.09633 (2018) - [i21]Anurag Ranjan, Varun Jampani, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black:
Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation. CoRR abs/1805.09806 (2018) - [i20]Partha Ghosh, Arpan Losalka, Michael J. Black:
Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders. CoRR abs/1806.00081 (2018) - [i19]Anurag Ranjan, Javier Romero, Michael J. Black:
Learning Human Optical Flow. CoRR abs/1806.05666 (2018) - [i18]Anurag Ranjan, Timo Bolkart, Soubhik Sanyal, Michael J. Black:
Generating 3D faces using Convolutional Mesh Autoencoders. CoRR abs/1807.10267 (2018) - [i17]Jonas Wulff, Michael J. Black:
Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation. CoRR abs/1809.08317 (2018) - [i16]Yinghao Huang, Manuel Kaufmann, Emre Aksan, Michael J. Black, Otmar Hilliges, Gerard Pons-Moll:
Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time. CoRR abs/1810.04703 (2018) - [i15]Nikolas Hesse, Sergi Pujades, Michael J. Black, Michael Arens, Ulrich G. Hofmann, A. Sebastian Schroeder:
Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences. CoRR abs/1810.07538 (2018) - [i14]Jie Song, Bjoern Andres, Michael J. Black, Otmar Hilliges, Siyu Tang:
End-to-end Learning for Graph Decomposition. CoRR abs/1812.09737 (2018) - 2017
- [j43]Timo von Marcard, Bodo Rosenhahn, Michael J. Black, Gerard Pons-Moll:
Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs. Comput. Graph. Forum 36(2): 349-360 (2017) - [j42]Meekyoung Kim, Gerard Pons-Moll, Sergi Pujades, Seungbae Bang, Jinwook Kim, Michael J. Black, Sung-Hee Lee:
Data-driven physics for human soft tissue animation. ACM Trans. Graph. 36(4): 54:1-54:12 (2017) - [j41]Gerard Pons-Moll, Sergi Pujades, Sonny Hu, Michael J. Black:
ClothCap: seamless 4D clothing capture and retargeting. ACM Trans. Graph. 36(4): 73:1-73:15 (2017) - [j40]Tianye Li, Timo Bolkart, Michael J. Black, Hao Li, Javier Romero:
Learning a model of facial shape and expression from 4D scans. ACM Trans. Graph. 36(6): 194:1-194:17 (2017) - [j39]Javier Romero, Dimitrios Tzionas, Michael J. Black:
Embodied hands: modeling and capturing hands and bodies together. ACM Trans. Graph. 36(6): 245:1-245:17 (2017) - [c123]Sophie Kenny, Naureen Mahmood, Claire Honda, Michael J. Black, Nikolaus F. Troje:
Effects of animation retargeting on perceived action outcomes. SAP 2017: 2:1-2:7 - [c122]Joel Janai, Fatma Güney, Jonas Wulff, Michael J. Black, Andreas Geiger:
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data. CVPR 2017: 1406-1416 - [c121]Judith Bütepage, Michael J. Black, Danica Kragic, Hedvig Kjellström:
Deep Representation Learning for Human Motion Prediction and Classification. CVPR 2017: 1591-1599 - [c120]Anurag Ranjan, Michael J. Black:
Optical Flow Estimation Using a Spatial Pyramid Network. CVPR 2017: 2720-2729 - [c119]Ali Osman Ulusoy, Michael J. Black, Andreas Geiger:
Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels. CVPR 2017: 4531-4540 - [c118]Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning from Synthetic Humans. CVPR 2017: 4627-4635 - [c117]Julieta Martinez, Michael J. Black, Javier Romero:
On Human Motion Prediction Using Recurrent Neural Networks. CVPR 2017: 4674-4683 - [c116]Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler:
Unite the People: Closing the Loop Between 3D and 2D Human Representations. CVPR 2017: 4704-4713 - [c115]Chao Zhang, Sergi Pujades, Michael J. Black, Gerard Pons-Moll:
Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan Sequences. CVPR 2017: 5484-5493 - [c114]Silvia Zuffi, Angjoo Kanazawa, David W. Jacobs, Michael J. Black:
3D Menagerie: Modeling the 3D Shape and Pose of Animals. CVPR 2017: 5524-5532 - [c113]Federica Bogo, Javier Romero, Gerard Pons-Moll, Michael J. Black:
Dynamic FAUST: Registering Human Bodies in Motion. CVPR 2017: 5573-5582 - [c112]Jonas Wulff, Laura Sevilla-Lara, Michael J. Black:
Optical Flow in Mostly Rigid Scenes. CVPR 2017: 6911-6920 - [i13]Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning from Synthetic Humans. CoRR abs/1701.01370 (2017) - [i12]Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler:
Unite the People: Closing the Loop Between 3D and 2D Human Representations. CoRR abs/1701.02468 (2017) - [i11]Judith Bütepage, Michael J. Black, Danica Kragic, Hedvig Kjellström:
Deep representation learning for human motion prediction and classification. CoRR abs/1702.07486 (2017) - [i10]Chao Zhang, Sergi Pujades, Michael J. Black, Gerard Pons-Moll:
Detailed, accurate, human shape estimation from clothed 3D scan sequences. CoRR abs/1703.04454 (2017) - [i9]Timo von Marcard, Bodo Rosenhahn, Michael J. Black, Gerard Pons-Moll:
Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs. CoRR abs/1703.08014 (2017) - [i8]Jonas Wulff, Laura Sevilla-Lara, Michael J. Black:
Optical Flow in Mostly Rigid Scenes. CoRR abs/1705.01352 (2017) - [i7]Julieta Martinez, Michael J. Black, Javier Romero:
On human motion prediction using recurrent neural networks. CoRR abs/1705.02445 (2017) - [i6]Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik:
End-to-end Recovery of Human Shape and Pose. CoRR abs/1712.06584 (2017) - [i5]Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, Michael J. Black:
On the Integration of Optical Flow and Action Recognition. CoRR abs/1712.08416 (2017) - 2016
- [j38]Søren Hauberg, Aasa Feragen, Raffi Enficiaud, Michael J. Black:
Scalable Robust Principal Component Analysis Using Grassmann Averages. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2298-2311 (2016) - [j37]Stephan Streuber, Maria Alejandra Quiros-Ramirez, Matthew Q. Hill, Carina A. Hahn, Silvia Zuffi, Alice J. O'Toole, Michael J. Black:
Body talk: crowdshaping realistic 3D avatars with words. ACM Trans. Graph. 35(4): 54:1-54:14 (2016) - [c111]Huan Fu, Chaohui Wang, Dacheng Tao, Michael J. Black:
Occlusion Boundary Detection via Deep Exploration of Context. CVPR 2016: 241-250 - [c110]Ali Osman Ulusoy, Michael J. Black, Andreas Geiger:
Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction. CVPR 2016: 3280-3289 - [c109]Laura Sevilla-Lara, Deqing Sun, Varun Jampani, Michael J. Black:
Optical Flow with Semantic Segmentation and Localized Layers. CVPR 2016: 3889-3898 - [c108]Yi-Hsuan Tsai, Ming-Hsuan Yang, Michael J. Black:
Video Segmentation via Object Flow. CVPR 2016: 3899-3908 - [c107]Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter V. Gehler, Javier Romero, Michael J. Black:
Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. ECCV (5) 2016: 561-578 - [c106]Reuben Fleming, Betty J. Mohler, Javier Romero, Michael J. Black, Martin Breidt:
Appealing Avatars from 3D Body Scans: Perceptual Effects of Stylization. VISIGRAPP (Revised Selected Papers) 2016: 175-196 - [c105]Reuben Fleming, Betty J. Mohler, Javier Romero, Michael J. Black, Martin Breidt:
Appealing Female Avatars from 3D Body Scans: Perceptual Effects of Stylization. VISIGRAPP (1: GRAPP) 2016: 335-345 - [c104]Michael J. Black, Javier Romero, Gerard Pons-Moll, Federica Bogo, Naureen Mahmood:
Learning human body shapes in motion. SIGGRAPH Courses 2016: 17:1-17:411 - [i4]Laura Sevilla-Lara, Deqing Sun, Varun Jampani, Michael J. Black:
Optical Flow with Semantic Segmentation and Localized Layers. CoRR abs/1603.03911 (2016) - [i3]Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter V. Gehler, Javier Romero, Michael J. Black:
Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. CoRR abs/1607.08128 (2016) - [i2]Anurag Ranjan, Michael J. Black:
Optical Flow Estimation using a Spatial Pyramid Network. CoRR abs/1611.00850 (2016) - [i1]Silvia Zuffi, Angjoo Kanazawa, David W. Jacobs, Michael J. Black:
3D Menagerie: Modeling the 3D shape and pose of animals. CoRR abs/1611.07700 (2016) - 2015
- [j36]Carlos E. Vargas-Irwin, David M. Brandman, Jonas B. Zimmermann, John P. Donoghue, Michael J. Black:
Spike Train SIMilarity Space (SSIMS): A Framework for Single Neuron and Ensemble Data Analysis. Neural Computation 27(1): 1-31 (2015) - [j35]Gerard Pons-Moll, Javier Romero, Naureen Mahmood, Michael J. Black:
Dyna: a model of dynamic human shape in motion. ACM Trans. Graph. 34(4): 120:1-120:14 (2015) - [j34]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) - [c103]Ali Osman Ulusoy, Andreas Geiger, Michael J. Black:
Towards Probabilistic Volumetric Reconstruction Using Ray Potentials. 3DV 2015: 10-18 - [c102]Anna C. Wellerdiek, Martin Breidt, Michael N. Geuss, Stephan Streuber, Uwe Kloos, Michael J. Black, Betty J. Mohler:
Perception of strength and power of realistic male characters. SAP 2015: 7-14 - [c101]Jonas Wulff, Michael J. Black:
Efficient sparse-to-dense optical flow estimation using a learned basis and layers. CVPR 2015: 120-130 - [c100]Ijaz Akhter, Michael J. Black:
Pose-conditioned joint angle limits for 3D human pose reconstruction. CVPR 2015: 1446-1455 - [c99]Silvia Zuffi, Michael J. Black:
The stitched puppet: A graphical model of 3D human shape and pose. CVPR 2015: 3537-3546 - [c98]Javier Romero, Matthew Loper, Michael J. Black:
FlowCap: 2D Human Pose from Optical Flow. GCPR 2015: 412-423 - [c97]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 - [c96]Naejin Kong, Michael J. Black:
Intrinsic Depth: Improving Depth Transfer with Intrinsic Images. ICCV 2015: 3514-3522 - 2014
- [j33]Deqing Sun, Stefan Roth, Michael J. Black:
A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them. International Journal of Computer Vision 106(2): 115-137 (2014) - [j32]Ivelina V. Piryankova, Jeanine K. Stefanucci, Javier Romero, Stephan de la Rosa, Michael J. Black, Betty J. Mohler:
Can I Recognize My Body's Weight? The Influence of Shape and Texture on the Perception of Self. TAP 11(3): 13:1-13:18 (2014) - [j31]Aggeliki Tsoli, Naureen Mahmood, Michael J. Black:
Breathing life into shape: capturing, modeling and animating 3D human breathing. ACM Trans. Graph. 33(4): 52:1-52:11 (2014) - [j30]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) - [c95]Oren Freifeld, Søren Hauberg, Michael J. Black:
Model Transport: Towards Scalable Transfer Learning on Manifolds. CVPR 2014: 1378-1385 - [c94]Federica Bogo, Javier Romero, Matthew Loper, Michael J. Black:
FAUST: Dataset and Evaluation for 3D Mesh Registration. CVPR 2014: 3794-3801 - [c93]Søren Hauberg, Aasa Feragen, Michael J. Black:
Grassmann Averages for Scalable Robust PCA. CVPR 2014: 3810-3817 - [c92]Matthew M. Loper, Michael J. Black:
OpenDR: An Approximate Differentiable Renderer. ECCV (7) 2014: 154-169 - [c91]
- [c90]
- [c89]Laura Sevilla-Lara, Deqing Sun, Erik G. Learned-Miller, Michael J. Black:
Optical Flow Estimation with Channel Constancy. ECCV (1) 2014: 423-438 - [c88]Jason Pacheco, Silvia Zuffi, Michael J. Black, Erik B. Sudderth:
Preserving Modes and Messages via Diverse Particle Selection. ICML 2014: 1152-1160 - [c87]Federica Bogo, Javier Romero, Enoch Peserico, Michael J. Black:
Automated Detection of New or Evolving Melanocytic Lesions Using a 3D Body Model. MICCAI (1) 2014: 593-600 - [c86]Aggeliki Tsoli, Matthew Loper, Michael J. Black:
Model-based anthropometry: Predicting measurements from 3D human scans in multiple poses. WACV 2014: 83-90 - 2013
- [j29]Michael J. Black, Mahmood Alhusseini, Mohamed Nabil Noui-Mehidi:
High Salinity Permittivity Models for Water Cut Sensing. IEEE Trans. Instrumentation and Measurement 62(10): 2805-2811 (2013) - [c85]Deqing Sun, Jonas Wulff, Erik B. Sudderth, Hanspeter Pfister, Michael J. Black:
A Fully-Connected Layered Model of Foreground and Background Flow. CVPR 2013: 2451-2458 - [c84]Hueihan Jhuang, Juergen Gall, Silvia Zuffi, Cordelia Schmid, Michael J. Black:
Towards Understanding Action Recognition. ICCV 2013: 3192-3199 - [c83]Silvia Zuffi, Javier Romero, Cordelia Schmid, Michael J. Black:
Estimating Human Pose with Flowing Puppets. ICCV 2013: 3312-3319 - [p2]Alexander Weiss, David A. Hirshberg, Michael J. Black:
Home 3D Body Scans from a Single Kinect. Consumer Depth Cameras for Computer Vision 2013: 99-117 - 2012
- [j28]Leonid Sigal, Michael Isard, Horst W. Haussecker, Michael J. Black:
Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation. International Journal of Computer Vision 98(1): 15-48 (2012) - [j27]Peng Guan, Loretta Reiss, David A. Hirshberg, Alexander Weiss, Michael J. Black:
DRAPE: DRessing Any PErson. ACM Trans. Graph. 31(4): 35:1-35:10 (2012) - [c82]Deqing Sun, Erik B. Sudderth, Michael J. Black:
Layered segmentation and optical flow estimation over time. CVPR 2012: 1768-1775 - [c81]Silvia Zuffi, Oren Freifeld, Michael J. Black:
From Pictorial Structures to deformable structures. CVPR 2012: 3546-3553 - [c80]Oren Freifeld, Michael J. Black:
Lie Bodies: A Manifold Representation of 3D Human Shape. ECCV (1) 2012: 1-14 - [c79]Jonas Wulff, Daniel J. Butler, Garrett B. Stanley, Michael J. Black:
Lessons and Insights from Creating a Synthetic Optical Flow Benchmark. ECCV Workshops (2) 2012: 168-177 - [c78]David A. Hirshberg, Matthew Loper, Eric Rachlin, Michael J. Black:
Coregistration: Simultaneous Alignment and Modeling of Articulated 3D Shape. ECCV (6) 2012: 242-255 - [c77]Daniel J. Butler, Jonas Wulff, Garrett B. Stanley, Michael J. Black:
A Naturalistic Open Source Movie for Optical Flow Evaluation. ECCV (6) 2012: 611-625 - [c76]Justin D. Foster, Paul Nuyujukian, Oren Freifeld, Stephen I. Ryu, Michael J. Black, Krishna V. Shenoy:
A framework for relating neural activity to freely moving behavior. EMBC 2012: 2736-2739 - [c75]Soumya Ghosh, Erik B. Sudderth, Matthew Loper, Michael J. Black:
From Deformations to Parts: Motion-based Segmentation of 3D Objects. NIPS 2012: 2006-2014 - [c74]Søren Hauberg, Oren Freifeld, Michael J. Black:
A Geometric take on Metric Learning. NIPS 2012: 2033-2041 - 2011
- [j26]Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, Richard Szeliski:
A Database and Evaluation Methodology for Optical Flow. International Journal of Computer Vision 92(1): 1-31 (2011) - [c73]Aggeliki Tsoli, Michael J. Black:
Shape- and Pose-Invariant Correspondences Using Probabilistic Geodesic Surface Embedding. DAGM-Symposium 2011: 256-265 - [c72]Alexander Weiss, David A. Hirshberg, Michael J. Black:
Home 3D body scans from noisy image and range data. ICCV 2011: 1951-1958 - [p1]Mykhaylo Andriluka, Leonid Sigal, Michael J. Black:
Benchmark Datasets for Pose Estimation and Tracking. Visual Analysis of Humans 2011: 253-275 - 2010
- [j25]Leonid Sigal, Michael J. Black:
Guest Editorial: State of the Art in Image- and Video-Based Human Pose and Motion Estimation. International Journal of Computer Vision 87(1-2): 1-3 (2010) - [j24]Leonid Sigal, Alexandru O. Balan, Michael J. Black:
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion. International Journal of Computer Vision 87(1-2): 4-27 (2010) - [c71]Oren Freifeld, Alexander Weiss, Silvia Zuffi, Michael J. Black:
Contour people: A parameterized model of 2D articulated human shape. CVPR 2010: 639-646 - [c70]Hedvig Kjellström, Danica Kragic, Michael J. Black:
Tracking people interacting with objects. CVPR 2010: 747-754 - [c69]Deqing Sun, Stefan Roth, Michael J. Black:
Secrets of optical flow estimation and their principles. CVPR 2010: 2432-2439 - [c68]Peng Guan, Oren Freifeld, Michael J. Black:
A 2D Human Body Model Dressed in Eigen Clothing. ECCV (1) 2010: 285-298 - [c67]Deqing Sun, Erik B. Sudderth, Michael J. Black:
Layered image motion with explicit occlusions, temporal consistency, and depth ordering. NIPS 2010: 2226-2234
2000 – 2009
- 2009
- [j23]Stefan Roth, Michael J. Black:
Fields of Experts. International Journal of Computer Vision 82(2): 205-229 (2009) - [c66]Peng Guan, Alexander Weiss, Alexandru O. Balan, Michael J. Black:
Estimating human shape and pose from a single image. ICCV 2009: 1381-1388 - [c65]Mario Fritz, Michael J. Black, Gary R. Bradski, Sergey Karayev, Trevor Darrell:
An Additive Latent Feature Model for Transparent Object Recognition. NIPS 2009: 558-566 - 2008
- [c64]Alexandru O. Balan, Michael J. Black:
The Naked Truth: Estimating Body Shape Under Clothing. ECCV (2) 2008: 15-29 - [c63]
- 2007
- [j22]Stefan Roth, Michael J. Black:
On the Spatial Statistics of Optical Flow. International Journal of Computer Vision 74(1): 33-50 (2007) - [c62]Alexandru O. Balan, Leonid Sigal, Michael J. Black, James E. Davis, Horst W. Haussecker:
Detailed Human Shape and Pose from Images. CVPR 2007 - [c61]Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, Richard Szeliski:
A Database and Evaluation Methodology for Optical Flow. ICCV 2007: 1-8 - [c60]Alexandru O. Balan, Michael J. Black, Horst W. Haussecker, Leonid Sigal:
Shining a Light on Human Pose: On Shadows, Shading and the Estimation of Pose and Shape. ICCV 2007: 1-8 - [c59]
- [c58]Leonid Sigal, Alexandru O. Balan, Michael J. Black:
Combined discriminative and generative articulated pose and non-rigid shape estimation. NIPS 2007: 1337-1344 - 2006
- [j21]Wei Wu, Yun Gao, Elie Bienenstock, John P. Donoghue, Michael J. Black:
Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter. Neural Computation 18(1): 80-118 (2006) - [c57]