World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
78
Citations
24614
World Ranking
1205
National Ranking
640

Research.com Recognitions

  • 2004 - IEEE Fellow For contributions to variational methods in information theory, signal processing, and compression.

Overview

Philip A. Chou is affiliated with Google in the United States and has made contributions primarily in the fields of Computer Science and Engineering. Their research work spans several subfields, including Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Computer Graphics and Computer-Aided Design, and Signal Processing.

The scientist's research topics include:

  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Advanced Image Processing Techniques
  • Advanced Graph Neural Networks
  • Data Visualization and Analytics
  • Advanced Data Compression Techniques

Philip A. Chou has published a significant number of papers, with recent work including the following:

  • LVAC: Learned volumetric attribute compression for point clouds using coordinate based networks, 2022, Frontiers in Signal Processing
  • Two Channel Filter Banks on Arbitrary Graphs With Positive Semi Definite Variation Operators, 2023, IEEE Transactions on Signal Processing
  • Set Partitioning in Hierarchical Trees for Point Cloud Attribute Compression, 2021, IEEE Signal Processing Letters
  • Compression of Plenoptic Point Cloud Attributes Using 6-D Point Clouds and 6-D Transforms, 2021, IEEE Transactions on Multimedia
  • Deep Implicit Volume Compression, 2020, arXiv (Cornell University)

The frequent publication venues where this scientist has contributed include:

  • arXiv (Cornell University)
  • IEEE Signal Processing Letters
  • Frontiers in Signal Processing
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Multimedia

Philip A. Chou frequently collaborates with several co-authors, among whom the most common are:

  • Berivan Isik
  • Danhang Tang
  • Onur G. Guleryuz
  • Tam Thuc Do
  • Gene Cheung

Recognized for contributions to variational methods in information theory, signal processing, and compression, Philip A. Chou was named an IEEE Fellow in 2004.

Best Publications

  • Distributing streaming media content using cooperative networking

    Venkata N. Padmanabhan;Helen J. Wang;Philip A. Chou;Kunwadee Sripanidkulchai

  • Polynomial time algorithms for multicast network code construction

    S. Jaggi;P. Sanders;P.A. Chou;M. Effros

  • Information Exchange in Wireless Networks with Network Coding and Physical-layer Broadcast

    Yunnan Wu;Philip A. Chou;Sun-Yuan Kung

  • Rate-distortion optimized streaming of packetized media

    P.A. Chou;Zhourong Miao

  • Entropy-constrained vector quantization

    P.A. Chou;T. Lookabaugh;R.M. Gray

  • Holoportation: Virtual 3D Teleportation in Real-time

    Sergio Orts-Escolano;Christoph Rhemann;Sean Fanello;Wayne Chang

  • Emerging MPEG Standards for Point Cloud Compression

    Sebastian Schwarz;Marius Preda;Vittorio Baroncini;Madhukar Budagavi

  • Resilient peer-to-peer streaming

    V.N. Padmanabhan;H.J. Wang;P.A. Chou

  • Optimal pruning with applications to tree-structured source coding and modeling

    P.A. Chou;T. Lookabaugh;R.M. Gray

  • Minimum-energy multicast in mobile ad hoc networks using network coding

    Yunnan Wu;P.A. Chou;Sun-Yuan Kung

  • Optimal partitioning for classification and regression trees

    P.A. Chou

  • KNOWS: Cognitive Radio Networks Over White Spaces

    Yuan Yuan;P. Bahl;R. Chandra;P.A. Chou

  • Network Coding for the Internet and Wireless Networks

    P.A. Chou;Yunnan Wu

  • Image recognition method using two-dimensional stochastic grammars

    Philip A. Chou

  • Compression of 3D Point Clouds Using a Region-Adaptive Hierarchical Transform

    Ricardo L. de Queiroz;Philip A. Chou

  • Interleaved multiple multimedia stream for synchronized transmission over a computer network

    Anders Edgar Klemets;Philip A. Chou

  • Network planning in wireless ad hoc networks: a cross-Layer approach

    Y. Wu;P.A. Chou;Qian Zhang;K. Jain

  • Document image decoding using Markov source models

    G.E. Kopec;P.A. Chou

  • Graph-Based Compression of Dynamic 3D Point Cloud Sequences

    Dorina Thanou;Philip A. Chou;Pascal Frossard

  • Motion-Compensated Compression of Dynamic Voxelized Point Clouds

    Ricardo L. de Queiroz;Philip A. Chou

  • Layered multiple description coding

    Philip Andrew Chou;Venkata N. Padmanabhan;Helen Wang

Frequent Co-Authors

Jin Li
Jin Li Microsoft (United States)
Dinei Florencio
Dinei Florencio Microsoft (United States)
Cha Zhang
Cha Zhang Microsoft (United States)
Zhengyou Zhang
Zhengyou Zhang Tencent (China)
Robert M. Gray
Robert M. Gray Stanford University
Cheng Huang
Cheng Huang Microsoft (United States)
Zicheng Liu
Zicheng Liu Microsoft (United States)
Kamal Jain
Kamal Jain Microsoft (United States)
Michelle Effros
Michelle Effros California Institute of Technology
Minghua Chen
Minghua Chen City University of Hong Kong

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