59 citations · 69 across the 5 of their papers we have counts for
6 papers
Kornia-rs: A Low-Level 3D Computer Vision Library In Rust
Edgar Riba, Jian Shi, Aditya Kumar +2
We present \textit{kornia-rs}, a high-performance 3D computer vision library written entirely in native Rust, designed for safety-critical and real-time applications. Unlike C++-ba…
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…
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…
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
Edgar Riba, Dmytro Mishkin, Daniel Ponsa +2
This work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems. The pa…
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection
Xavier Soria, Edgar Riba, Angel D. Sappa
This paper proposes a Deep Learning based edge detector, which is inspired on both HED (Holistically-Nested Edge Detection) and Xception networks. The proposed approach generates t…
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
Axel Barroso-Laguna, Edgar Riba, Daniel Ponsa +1
We introduce a novel approach for keypoint detection task that combines handcrafted and learned CNN filters within a shallow multi-scale architecture. Handcrafted filters provide a…