Difference between revisions of "Occlusions"

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* [[Other Challenges]] in Artificial Intelligence
 
* [[Other Challenges]] in Artificial Intelligence
 
* [[Singularity]] ... [[Artificial Consciousness / Sentience|Sentience]] ... [[Artificial General Intelligence (AGI)| AGI]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ... [[Algorithm Administration#Automated Learning|Automated Learning]]
 
* [[Singularity]] ... [[Artificial Consciousness / Sentience|Sentience]] ... [[Artificial General Intelligence (AGI)| AGI]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ... [[Algorithm Administration#Automated Learning|Automated Learning]]
* [[Video/Image]] ... [[Vision]] ... [[Enhancement]] ... [[Fake]] ... [[Reconstruction]] ... [[Colorize]] ... [[Predict image]] ... [[Image/Video Transfer Learning]]
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* [[Video/Image]] ... [[Vision]] ... [[Enhancement]] ... [[Fake]] ... [[Reconstruction]] ... [[Colorize]] ... [[Occlusions]] ... [[Predict image]] ... [[Image/Video Transfer Learning]]
 
* [[Gaming]]
 
* [[Gaming]]
 
* [https://syncedreview.com/2020/07/24/deepminds-alignnet-learns-stable-object-representations-across-time/ DeepMind’s AlignNet Learns Stable Object Representations Across Time | Yuan Yuan - Synced]
 
* [https://syncedreview.com/2020/07/24/deepminds-alignnet-learns-stable-object-representations-across-time/ DeepMind’s AlignNet Learns Stable Object Representations Across Time | Yuan Yuan - Synced]

Revision as of 20:48, 6 July 2023

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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. 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