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Prince Kapoor

4 papers hereh-index 4145 citations6 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.SP1

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedHow much real data do we actually need: Analyzing object detection performance using synthetic and real data

67 citations · 67 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

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…

cs.CV2019★ 67 cited

How much real data do we actually need: Analyzing object detection performance using synthetic and real data

Farzan Erlik Nowruzi, Prince Kapoor, Dhanvin Kolhatkar +3

In recent years, deep learning models have resulted in a huge amount of progress in various areas, including computer vision. By nature, the supervised training of deep models requ…

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