Difference between revisions of "Conditional Adversarial Architecture (CAA)"
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[http://www.youtube.com/results?search_query=Conditional+Adversarial+ai+deep+learning+teacher+student YouTube search...] | [http://www.youtube.com/results?search_query=Conditional+Adversarial+ai+deep+learning+teacher+student YouTube search...] | ||
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| − | * [http:// | + | * [http://blog.acolyer.org/2018/05/08/image-to-image-translation-with-conditional-adversarial-networks/ Image-to-image translation with conditional adversarial networks | Isola et al.] |
* [http://sleep.csail.mit.edu/ Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture | Mingmin Zhao, Shichao Yue, Dina Katabi, Tommi Jaakkola, Matt Bianchi - | * [http://sleep.csail.mit.edu/ Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture | Mingmin Zhao, Shichao Yue, Dina Katabi, Tommi Jaakkola, Matt Bianchi - | ||
Massachusetts Institute of Technology (MIT) & Massachusetts General Hospital | Massachusetts Institute of Technology (MIT) & Massachusetts General Hospital | ||
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| + | Occlusion is a fundamental problem in human pose estimation and many other vision tasks. Instead of hallucinating missing body parts based on visible ones, we demonstrate a solution that leverages radio signals to accurately track the 2D human pose through walls and obstructions. [http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhao_Through-Wall_Human_Pose_CVPR_2018_paper.pdf Through-Wall Human Pose Estimation Using Radio Signals | Mingmin Zhao, Tianhong Li, Mohammad Abu, Alsheikh Yonglong, Tian Hang Zhao, Antonio Torralba, Dina Katabi - MIT CSAIL] | ||
https://www.researchgate.net/profile/Mingmin_Zhao3/publication/328049475/figure/fig2/AS:677681750351875@1538583328633/Our-teacher-student-network-model-used-in-RF-Pose-The-upper-pipeline-provides-training.png | https://www.researchgate.net/profile/Mingmin_Zhao3/publication/328049475/figure/fig2/AS:677681750351875@1538583328633/Our-teacher-student-network-model-used-in-RF-Pose-The-upper-pipeline-provides-training.png | ||
Revision as of 22:28, 17 October 2018
- Image-to-image translation with conditional adversarial networks | Isola et al.
- [http://sleep.csail.mit.edu/ Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture | Mingmin Zhao, Shichao Yue, Dina Katabi, Tommi Jaakkola, Matt Bianchi -
Massachusetts Institute of Technology (MIT) & Massachusetts General Hospital
Occlusion is a fundamental problem in human pose estimation and many other vision tasks. Instead of hallucinating missing body parts based on visible ones, we demonstrate a solution that leverages radio signals to accurately track the 2D human pose through walls and obstructions. Through-Wall Human Pose Estimation Using Radio Signals | Mingmin Zhao, Tianhong Li, Mohammad Abu, Alsheikh Yonglong, Tian Hang Zhao, Antonio Torralba, Dina Katabi - MIT CSAIL
