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Philip A. Chou

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Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers

Feb 08, 2024
Onur G. Guleryuz, Philip A. Chou, Berivan Isik, Hugues Hoppe, Danhang Tang, Ruofei Du, Jonathan Taylor, Philip Davidson, Sean Fanello

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Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression

Nov 22, 2023
Tam Thuc Do, Philip A. Chou, Gene Cheung

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Volumetric 3D Point Cloud Attribute Compression: Learned polynomial bilateral filter for prediction

Nov 22, 2023
Tam Thuc Do, Philip A. Chou, Gene Cheung

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Volumetric Attribute Compression for 3D Point Clouds using Feedforward Network with Geometric Attention

Apr 01, 2023
Tam Thuc Do, Philip A. Chou, Gene Cheung

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Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers

Mar 20, 2023
Berivan Isik, Onur G. Guleryuz, Danhang Tang, Jonathan Taylor, Philip A. Chou

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Two Channel Filter Banks on Arbitrary Graphs with Positive Semi Definite Variation Operators

Mar 06, 2022
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou

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LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks

Nov 17, 2021
Berivan Isik, Philip A. Chou, Sung Jin Hwang, Nick Johnston, George Toderici

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3D Scene Compression through Entropy Penalized Neural Representation Functions

Apr 26, 2021
Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou

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Deep Implicit Volume Compression

May 18, 2020
Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Haene, Mingsong Dou, Sean Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin

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Region adaptive graph fourier transform for 3d point clouds

Mar 04, 2020
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou

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