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researcher

D. Paz

16 papers hereh-index 8195 citations23 works total

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

author position
  • first author6
  • middle author9

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

fields
  • cs.CV10
  • cs.RO5
  • cs.AI1
same name
  • D. Paz — 37 papers, h 16
  • D. Paz — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedOSM vs HD Maps: Map Representations for Trajectory Prediction

1 citations · 2 across the 13 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 1 cited

OSM vs HD Maps: Map Representations for Trajectory Prediction

Jing-Yan Liao, Parth Doshi, Zihan Zhang +2

While High Definition (HD) Maps have long been favored for their precise depictions of static road elements, their accessibility constraints and susceptibility to rapid environment…

cs.CV2023

Occlusion-Aware 2D and 3D Centerline Detection for Urban Driving via Automatic Label Generation

David Paz, Narayanan E. Ranganatha, Srinidhi K. Srinivas +2

This research work seeks to explore and identify strategies that can determine road topology information in 2D and 3D under highly dynamic urban driving scenarios. To facilitate th…

cs.CV2023

CLiNet: Joint Detection of Road Network Centerlines in 2D and 3D

David Paz, Srinidhi Kalgundi Srinivas, Yunchao Yao +1

This work introduces a new approach for joint detection of centerlines based on image data by localizing the features jointly in 2D and 3D. In contrast to existing work that focuse…

cs.CV2023★ 1 cited

Robust Human Identity Anonymization using Pose Estimation

Hengyuan Zhang, Jing-Yan Liao, David Paz +1

Many outdoor autonomous mobile platforms require more human identity anonymized data to power their data-driven algorithms. The human identity anonymization should be robust so tha…

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