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researcher

Peter H. Jin

8 papers hereh-index 81.6k citations11 works total

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

author position
  • first author3
  • middle author5

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV3
  • cs.NE1

identity via Semantic Scholar / OpenAlex

activity
20152018
most citedSqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

93 citations · 210 across the 6 of their papers we have counts for

collaborators
Showing 2016 · cs.CVShow all

1 paper · 2 filters

cs.CV2016★ 93 cited

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

Bichen Wu, Alvin Wan, Forrest Iandola +2

Object detection is a crucial task for autonomous driving. In addition to requiring high accuracy to ensure safety, object detection for autonomous driving also requires real-time…

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