Reconstructing hands and manipulated objects with graph neural networks

Speaker:Elden TSE
        School of Computer Science
        University of Birmingham

Title:  "Reconstructing hands and manipulated objects with graph
         neural networks"

Date:   Monday, 26 September 2022

Time:   4:00pm - 5:00pm

Venue:  Lecture Theater F (Leung Yat Sing Lecture Theater)
        (near lift 25/26, HKUST)


Abstract:

Development of RGB-D sensors have opened a range of technologies and
applications which requires hand detections and 3D pose estimations in a
variety of scenarios such as AR/VR, robot grasping and assisted driving.
However, most existing methods do not generalise well to real-world
scenarios and prone to fail when extended to hand-object interactions. In
this talk, I will share about my works and highlight the recent works in
the field.


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Biography:

Elden is a PhD student in Computer Science at University of Birmingham.
His current research projects focus on hand and object interactions with
graph neural networks. His long-term goal is to enable artificial
intelligent agents to better understand and interact with the physical
world.