62 citations · 201 across the 21 of their papers we have counts for
6 papers · 1 filter
Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data
Faiz Muhammad Chaudhry, Jarno Ralli, Jerome Leudet +4
This research addresses the challenge of camera calibration and distortion parameter prediction from a single image using deep learning models. The main contributions of this work…
Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification
Sertac Kilickaya, Mete Ahishali, Fahad Sohrab +2
Hyperspectral image (HSI) classification is an important task in many applications, such as environmental monitoring, medical imaging, and land use/land cover (LULC) classification…
Improved Active Fire Detection using Operational U-Nets
Ozer Can Devecioglu, Mete Ahishali, Fahad Sohrab +2
As a consequence of global warming and climate change, the risk and extent of wildfires have been increasing in many areas worldwide. Warmer temperatures and drier conditions can c…
AnomalyHop: An SSL-based Image Anomaly Localization Method
Kaitai Zhang, Bin Wang, Wei Wang +3
An image anomaly localization method based on the successive subspace learning (SSL) framework, called AnomalyHop, is proposed in this work. AnomalyHop consists of three modules: 1…
Boosting rare benthic macroinvertebrates taxa identification with one-class classification
Fahad Sohrab, Jenni Raitoharju
Insect monitoring is crucial for understanding the consequences of rapid ecological changes, but taxa identification currently requires tedious manual expert work and cannot be sca…
Subspace Support Vector Data Description
Fahad Sohrab, Jenni Raitoharju, Moncef Gabbouj +1
This paper proposes a novel method for solving one-class classification problems. The proposed approach, namely Subspace Support Vector Data Description, maps the data to a subspac…