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P. Chou

16 papers hereh-index 5113.8k citations198 works total

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

author position
  • first author1
  • middle author9
  • last author6

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

fields
  • cs.CV4
  • eess.IV4
  • eess.SP3
  • cs.GR2
  • cs.MM2
  • cs.IT1
same name
  • P. Chou — 4 papers, h 7
  • P. Chou — 2 papers, h 29
  • P. Chou — 1 paper, h 92

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
20142023
most citedGraph-based compression of dynamic 3D point cloud sequences

231 citations · 298 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2021

3D Scene Compression through Entropy Penalized Neural Representation Functions

Thomas Bird, Johannes Ballé, Saurabh Singh +1

Some forms of novel visual media enable the viewer to explore a 3D scene from arbitrary viewpoints, by interpolating between a discrete set of original views. Compared to 2D imager…

cs.CV2020

Region adaptive graph fourier transform for 3d point clouds

Eduardo Pavez, Benjamin Girault, Antonio Ortega +1

We introduce the Region Adaptive Graph Fourier Transform (RA-GFT) for compression of 3D point cloud attributes. The RA-GFT is a multiresolution transform, formed by combining spati…

cs.CV2015★ 231 cited

Graph-based compression of dynamic 3D point cloud sequences

Dorina Thanou, Philip A. Chou, Pascal Frossard

This paper addresses the problem of compression of 3D point cloud sequences that are characterized by moving 3D positions and color attributes. As temporally successive point cloud…

cs.CV2014★ 5 cited

Precision Enhancement of 3D Surfaces from Multiple Compressed Depth Maps

Pengfei Wan, Gene Cheung, Philip A. Chou +3

In texture-plus-depth representation of a 3D scene, depth maps from different camera viewpoints are typically lossily compressed via the classical transform coding / coefficient qu…

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