8 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
TorMentor: Deterministic dynamic-path, data augmentations with fractals
Anguelos Nicolaou, Vincent Christlein, Edgar Riba +3
We propose the use of fractals as a means of efficient data augmentation. Specifically, we employ plasma fractals for adapting global image augmentation transformations into contin…
cs.CV2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Cheng Zhang, Jian Shi, Xuan Deng +1
In computer-aided design (CAD) community, the point cloud data is pervasively applied in reverse engineering, where the point cloud analysis plays an important role. While a large…
cs.CV2020★ 8 cited
Differentiable Data Augmentation with Kornia
Jian Shi, Edgar Riba, Dmytro Mishkin +2
In this paper we present a review of the Kornia differentiable data augmentation (DDA) module for both for spatial (2D) and volumetric (3D) tensors. This module leverages different…