Black, Michael J.
Max Planck Institute for Intelligent Systems
11 papers on CoChatORCID 0000-0001-6077-4540
Most cited papers
- Verified
A Naturalistic Open Source Movie for Optical Flow Evaluation
Butler, D. J., Wulff, J., Stanley, G. B., & Black, M. J. (2012) · Lecture Notes in Computer Science
Advanced Vision and ImagingVideo Surveillance and Tracking Methods
Cited by 1,842
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Expressive Body Capture: 3D Hands, Face, and Body From a Single Image
Pavlakos, G., Choutas, V., Ghorbani, N., Bolkart, T., Osman, A. A., Tzionas, D., & Black, M. J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Human Pose and Action Recognition3D Shape Modeling and Analysis
Cited by 1,781
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AMASS: Archive of Motion Capture As Surface Shapes
Mahmood, N., Ghorbani, N., Troje, N. F., Pons-Moll, G., & Black, M. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Human Motion and Animation3D Shape Modeling and Analysis
Cited by 1,323
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Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion
Black, M. J., & Yacoob, Y. (1997) · International Journal of Computer Vision
Face recognition and analysisFace and Expression Recognition
Cited by 514
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Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array
Simeral, J. D., Kim, S.-P., Black, M. J., Donoghue, J. P., & Hochberg, L. R. (2011) · Journal of Neural Engineering
Neuroscience and Neural EngineeringEEG and Brain-Computer Interfaces
Cited by 496
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Tracking and recognizing rigid and non-rigid facial motions using local parametric models of image motion
Black, M. J., & Yacoob, Y. (2002) · Proceedings of IEEE International Conference on Computer Vision
Face recognition and analysisFace and Expression Recognition
Cited by 457
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3D Menagerie: Modeling the 3D Shape and Pose of Animals
Zuffi, S., Kanazawa, A., Jacobs, D. W., & Black, M. J. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
3D Shape Modeling and AnalysisFace recognition and analysis
Cited by 381
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Deep inertial poser: learning to reconstruct human pose from sparse inertial measurements in real time
Huang, Y., Kaufmann, M., Aksan, E., Black, M. J., Hilliges, O., & Pons-Moll, G. (2018) · ACM Transactions on Graphics
Human Pose and Action RecognitionHuman Motion and Animation
Cited by 342
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BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion
Black, M. J., Patel, P., Tesch, J., & Yang, J. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Human Pose and Action Recognition3D Shape Modeling and Analysis
Cited by 148
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Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images “In the Wild”
Zuffi, S., Kanazawa, A., Berger-Wolf, T., & Black, M. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
3D Shape Modeling and AnalysisHuman Pose and Action Recognition
Cited by 139
- Verified
Deep Neural Network-Based Cooperative Visual Tracking Through Multiple Micro Aerial Vehicles
Price, E., Lawless, G., Ludwig, R., Martinovic, I., Bulthoff, H. H., Black, M. J., & Ahmad, A. (2018) · IEEE Robotics and Automation Letters
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 64
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