Robohub.org
 

Greg Mori: Deep Structured Models for Human Activity | CMU RI Seminar

by
20 January 2018



share this:

Link to video on YouTube

Abstract: “Visual recognition involves reasoning about structured relations at multiple levels of detail. For example, human behaviour analysis requires a comprehensive labeling covering individual low-level actions to pair-wise interactions through to high-level events. Scene understanding can benefit from considering labels and their inter-relations. In this talk I will present recent work by our group building deep learning approaches capable of modeling these structures. I will present models for learning trajectory features that represent individual human actions, and hierarchical temporal models for group activity recognition. General purpose structured inference machines will be described, building from notions of message passing within graphical models. These will be used in models for inferring individual and group activity and modeling structured relations for image labeling problems.”




John Payne





Related posts :



Tesla’s Optimus robot isn’t very impressive – but it may be a sign of better things to come

Musk has now unveiled a prototype of the robot, called Optimus, which he hopes to mass-produce and sell for less than US$20,000 (A$31,000).
04 October 2022, by

Bipedal robot achieves Guinness World Record in 100 metres

Cassie the robot, developed at Oregon State University, records the fastest 100 metres by a bipedal robot.
03 October 2022, by and

Breaking through the mucus barrier

A capsule that tunnels through mucus in the GI tract could be used to orally administer large protein drugs such as insulin.
02 October 2022, by

Women in Tech leadership resources from IMTS 2022

There’ve been quite a few events recently focusing on Women in Robotics, Women in Manufacturing, Women in 3D Printing, in Engineering, and in Tech Leadership. One of the largest tradeshows in the US is IMTS 2022. Here I bring you some resources shared in the curated technical content and leadership sessions.
29 September 2022, by and

MIT engineers build a battery-free, wireless underwater camera

The device could help scientists explore unknown regions of the ocean, track pollution, or monitor the effects of climate change.
27 September 2022, by

How do we control robots on the moon?

In the future, we imagine that teams of robots will explore and develop the surface of nearby planets, moons and asteroids - taking samples, building structures, deploying instruments.
25 September 2022, by , and





©2021 - ROBOTS Association


 












©2021 - ROBOTS Association