7 citations · 18 across the 11 of their papers we have counts for
18 papers
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation
Tuan-Anh Vu, Srinjay Sarkar, Zhiyuan Zhang +2
Data augmentation is a powerful technique to enhance the performance of a deep learning task but has received less attention in 3D deep learning. It is well known that when 3D shap…
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors
Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen +1
In this paper, we propose a new method for mapping a 3D point cloud to the latent space of a 3D generative adversarial network. Our generative model for 3D point clouds is based on…
Regression-based Monte Carlo Integration
Corentin Salaün, Adrien Gruson, Binh-Son Hua +2
Monte Carlo integration is typically interpreted as an estimator of the expected value using stochastic samples. There exists an alternative interpretation in calculus where Monte…
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis
Bach Tran, Binh-Son Hua, Anh Tuan Tran +1
Recently, great progress has been made in 3D deep learning with the emergence of deep neural networks specifically designed for 3D point clouds. These networks are often trained fr…
Single-Image HDR Reconstruction by Multi-Exposure Generation
Phuoc-Hieu Le, Quynh Le, Rang Nguyen +1
High dynamic range (HDR) imaging is an indispensable technique in modern photography. Traditional methods focus on HDR reconstruction from multiple images, solving the core problem…
Time-of-Day Neural Style Transfer for Architectural Photographs
Yingshu Chen, Tuan-Anh Vu, Ka-Chun Shum +2
Architectural photography is a genre of photography that focuses on capturing a building or structure in the foreground with dramatic lighting in the background. Inspired by recent…