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Thomas Mesquida

4 papers hereh-index 460 citations12 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
  • cs.ET1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedHardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA

3 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2022

SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving

Sambit Mohapatra, Thomas Mesquida, Mona Hodaei +3

Spiking Neural Networks are a recent and new neural network design approach that promises tremendous improvements in power efficiency, computation efficiency, and processing latenc…

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