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researcher

David Meger

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.RO1

identity via Semantic Scholar / OpenAlex

most citedGEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects

37 citations · 37 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2019

Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks

Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera +2

Diversity of environments is a key challenge that causes learned robotic controllers to fail due to the discrepancies between the training and evaluation conditions. Training from…

cs.CV2019★ 37 cited

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects

Edward J. Smith, Scott Fujimoto, Adriana Romero +1

Mesh models are a promising approach for encoding the structure of 3D objects. Current mesh reconstruction systems predict uniformly distributed vertex locations of a predetermined…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.