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researcher

Philip David

3 papers hereh-index 142.1k citations44 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 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedCurriculum Domain Adaptation for Semantic Segmentation of Urban Scenes

551 citations · 590 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2020★ 31 cited

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

Yang Zhang, Zixiang Zhou, Philip David +4

The need for fine-grained perception in autonomous driving systems has resulted in recently increased research on online semantic segmentation of single-scan LiDAR. Despite the eme…

cs.CV2019★ 8 cited

A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes

Yang Zhang, Philip David, Hassan Foroosh +1

During the last half decade, convolutional neural networks (CNNs) have triumphed over semantic segmentation, which is one of the core tasks in many applications such as autonomous…

cs.CV2017★ 551 cited

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes

Yang Zhang, Philip David, Boqing Gong

During the last half decade, convolutional neural networks (CNNs) have triumphed over semantic segmentation, which is one of the core tasks in many applications such as autonomous…

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