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 :



Interview with Dautzenberg Roman: #IROS2023 Best Paper Award on Mobile Manipulation sponsored by OMRON Sinic X Corp.

The award-winning author describe their work on an aerial robot which can exert large forces onto walls.
19 November 2023, by

Robot Talk Episode 62 – Jorvon Moss

In the latest episode of the Robot Talk podcast, Claire chatted to Jorvon (Odd-Jayy) Moss from Digikey about making robots at home, and robot design and aesthetics.
17 November 2023, by

California is the robotics capital of the world

In California, robotics technology is a small fish in a much bigger technology pond, and that tends to conceal how important Californian companies are to the robotics revolution.
12 November 2023, by

Robot Talk Episode 61 – Masoumeh Mansouri

In the latest episode of the Robot Talk podcast, Claire chatted to Masoumeh (Iran) Mansouri from the University of Birmingham about culturally sensitive robots and planning in complex environments.
10 November 2023, by

The 5 levels of Sustainable Robotics

Robots can solve the UN SDGs and not just via the application area.
08 November 2023, by

Using language to give robots a better grasp of an open-ended world

By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
06 November 2023, by





©2021 - ROBOTS Association


 












©2021 - ROBOTS Association