1 citations · 1 across the 12 of their papers we have counts for
12 papers
Deep Scene-Driven Ordering of Hadamard Basis for Single-Pixel Spectral Imaging
Brayan Monroy, Hans Garcia, Henry Arguello +1
Spectral images are highly valuable for various applications, including environmental monitoring and precision agriculture. However, the high cost of specialized sensors limits the…
Seeing Through Smoke: Surgical Desmoking for Improved Visual Perception
Jingpei Lu, Fengyi Jiang, Xiaorui Zhang +2
Minimally invasive and robot-assisted surgery relies heavily on endoscopic imaging, yet surgical smoke produced by electrocautery and vessel-sealing instruments can severely degrad…
Scale Equivariance Regularization and Feature Lifting in High Dynamic Range Modulo Imaging
Brayan Monroy, Jorge Bacca
Modulo imaging enables high dynamic range (HDR) acquisition by cyclically wrapping saturated intensities, but accurate reconstruction remains challenging due to ambiguities between…
Deep Lightweight Unrolled Network for High Dynamic Range Modulo Imaging
Brayan Monroy, Jorge Bacca
Modulo-Imaging (MI) offers a promising alternative for expanding the dynamic range of images by resetting the signal intensity when it reaches the saturation level. Subsequently, h…
Learning-based Spectral Regression for Cocoa Bean Physicochemical Property Prediction
Kebin Contreras, Emmanuel Martinez, Brayan Monroy +8
Cocoa bean quality assessment is essential for ensuring compliance with commercial standards, protecting consumer health, and increasing the market value of the cocoa product. The…
DeepInverse: A Python package for solving imaging inverse problems with deep learning
Julián Tachella, Matthieu Terris, Samuel Hurault +24
DeepInverse is an open-source PyTorch-based library for solving imaging inverse problems. The library covers all crucial steps in image reconstruction from the efficient implementa…
High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving
Kebin Contreras, Brayan Monroy, Jorge Bacca
Object detection precision is crucial for ensuring the safety and efficacy of autonomous driving systems. The quality of acquired images directly influences the ability of autonomo…
Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications
Brayan Monroy, Kebin Contreras, Jorge Bacca
High dynamic range (HDR) imaging is vital for capturing the full range of light tones in scenes, essential for computer vision tasks such as autonomous driving. Standard commercial…
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
Brayan Monroy, Jorge Bacca, Julián Tachella
Recorrupted-to-Recorrupted (R2R) has emerged as a methodology for training deep networks for image restoration in a self-supervised manner from noisy measurement data alone, demons…
Hadamard Row-Wise Generation Algorithm
Brayan Monroy, Jorge Bacca
In this paper, we introduce an efficient algorithm for generating specific Hadamard rows, addressing the memory demands of pre-computing the entire matrix. Leveraging Sylvester's r…
Designed Dithering Sign Activation for Binary Neural Networks
Brayan Monroy, Juan Estupiñan, Tatiana Gelvez-Barrera +2
Binary Neural Networks emerged as a cost-effective and energy-efficient solution for computer vision tasks by binarizing either network weights or activations. However, common bina…
JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging
Brayan Monroy, Jorge Bacca, Henry Arguello
Deep learning models are state-of-the-art in compressive spectral imaging (CSI) recovery. These methods use a deep neural network (DNN) as an image generator to learn non-linear ma…