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researcher

R. Laganière

16 papers hereh-index 356.8k citations194 works total

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

author position
  • middle author6
  • last author9

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • eess.SP2
  • cs.DS1
  • cs.LG1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20142026
most citedHow much real data do we actually need: Analyzing object detection performance using synthetic and real data

67 citations · 111 across the 14 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.CV2021★ 2 cited

RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users

Ao Zhang, Farzan Erlik Nowruzi, Robert Laganiere

Object detection using automotive radars has not been explored with deep learning models in comparison to the camera based approaches. This can be attributed to the lack of public…

cs.CV2021

Point Cloud based Hierarchical Deep Odometry Estimation

Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor +1

Processing point clouds using deep neural networks is still a challenging task. Most existing models focus on object detection and registration with deep neural networks using poin…

cs.CV2021

PolarNet: Accelerated Deep Open Space Segmentation Using Automotive Radar in Polar Domain

Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor +5

Camera and Lidar processing have been revolutionized with the rapid development of deep learning model architectures. Automotive radar is one of the crucial elements of automated d…

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