activity
20202022
most citedHoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections

3 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

QC-StyleGAN -- Quality Controllable Image Generation and Manipulation

Dat Viet Thanh Nguyen, Phong Tran The, Tan M. Dinh +2

The introduction of high-quality image generation models, particularly the StyleGAN family, provides a powerful tool to synthesize and manipulate images. However, existing models a…

eess.IV2021

Lossless Coding of Point Cloud Geometry using a Deep Generative Model

Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise +1

This paper proposes a lossless point cloud (PC) geometry compression method that uses neural networks to estimate the probability distribution of voxel occupancy. First, to take in…

cs.LG20213 cited

HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections

Ines Chami, Albert Gu, Dat Nguyen +1

This paper studies Principal Component Analysis (PCA) for data lying in hyperbolic spaces. Given directions, PCA relies on: (1) a parameterization of subspaces spanned by these dir…

eess.IV2021

Multiscale deep context modeling for lossless point cloud geometry compression

Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise +1

We propose a practical deep generative approach for lossless point cloud geometry compression, called MSVoxelDNN, and show that it significantly reduces the rate compared to the MP…

eess.IV2020

Learning-based lossless compression of 3D point cloud geometry

Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise +1

This paper presents a learning-based, lossless compression method for static point cloud geometry, based on context-adaptive arithmetic coding. Unlike most existing methods working…