attribute coding 1b-spline projection 1deep unrolling 1point cloud compression 1rate-distortion optimization 1sparsity 1
From the 1 of 3 linked papers with an AI index.
3 papers
eess.IV2026
Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding
Tam Thuc Do, Philip A. Chou, Gene Cheung
The paper proposes a deep-unrolled, feed‑forward network to perform lossy attribute compression for 3D point clouds by projecting attributes onto multi‑resolution B‑spline bases an…
cs.LG2026
Lightweight and Interpretable Transformer via Mixed Graph Algorithm Unrolling for Traffic Forecast
Ji Qi, Tam Thuc Do, Mingxiao Liu +4
Unlike conventional "black-box" transformers with classical self-attention mechanism, we build a lightweight and interpretable transformer-like neural net by unrolling a mixed-grap…
cs.LG2024
Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors
Tam Thuc Do, Parham Eftekhar, Seyed Alireza Hosseini +2
We build interpretable and lightweight transformer-like neural networks by unrolling iterative optimization algorithms that minimize graph smoothness priors -- the quadratic graph…