Talk Dense Object Nets Learning

(Talk) Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation

Oral Presentation at Conference on Robot

Supervised Training of Dense Object Nets for Industrial Robotic Applications

Supervised

Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation

Source code: https://github.com/RobotLocomotion/pytorch-

Fully Self-Supervised Class Awareness in Dense Object Descriptors

Title: "Fully Self-Supervised Class Awareness in

Augmenting ICP Using Dense Object Nets: Applications in Surgical Robot Perception

Augmenting ICP Using

Neural Networks Are Elastic Origami! [Prof. Randall Balestriero]

Professor Randall Balestriero joins us to discuss neural network geometry, spline theory, and emerging phenomena in...

Self-supervised Visual Descriptor Learning for Dense Correspondence

Supplementary video the paper: http://ieeexplore.ieee.org/document/7762851/

CoRL 2020, Spotlight Talk 126: Learning Predictive Representations for Deformable Objects Using C...

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CoRL 2020, Spotlight Talk 153: Transporter Networks: Rearranging the Visual World for Robotic Man...

"**Transporter

RSS 2021, Spotlight Talk 48: Untangling Dense Non-Planar Knots by Learning Manipulation Features...

Untangling

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields

Project page: https://yenchenlin.me/nerf-supervision/

CoRL 2020, Spotlight Talk 166: Untangling Dense Knots by Learning Task-Relevant Keypoints

"**Untangling

WE MUST ADD STRUCTURE TO DEEP LEARNING BECAUSE...

Dr. Paul Lessard and his collaborators have written a paper on "Categorical Deep