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Unsupervised Framework for Interaction Modeling between Multiple Objects
Computer Vision Group Jena
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Unsupervised Discovery of Objects and their Interactions for Common-Sense Physical Reasoning
Microsoft Research
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SlotGNN: Unsupervised Discovery of Multi-Object Representations and Visual Dynamics
Alireza Rezazadeh
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Data efficient Robotic Object Throwing with Model-Based Reinforcement Learning
Niccolò Turcato
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Alan Yuille: "Unsupervised Compositional Learning of Object Models"
Institute for Pure & Applied Mathematics (IPAM)
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Learning in Data Scarce Visual and Multimodal Applications Using Vectorized
Microsoft Research
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Introducing interaction models | Thinking Machines Lab
Thinking Machines Lab
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A Unified Object Motion and Affinity Model for Online Multi-Object Tracking
ComputerVisionFoundation Videos
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20:37