Tam Thuc Do

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20222026

most citedInterpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors

2 citations · 3 across the 8 of their papers we have counts for

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Showing 2023Show all

3 papers · 1 filter

eess.SP2023

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

Tam Thuc Do, Philip A. Chou, Gene Cheung

We extend a previous study on 3D point cloud attribute compression scheme that uses a volumetric approach: given a target volumetric attribute function $f : \mathbb{R}^3 \mapsto \m…

eess.IV2023

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

Tam Thuc Do, Philip A. Chou, Gene Cheung

We study 3D point cloud attribute compression via a volumetric approach: assuming point cloud geometry is known at both encoder and decoder, parameters $θ$ of a continuous attribut…

eess.SP2023

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

Tam Thuc Do, Philip A. Chou, Gene Cheung

We study 3D point cloud attribute compression using a volumetric approach: given a target volumetric attribute function $f : R^{3} \to R$ , we quantize and e…