TnTViT-G: Transformer in Transformer Network for Guidance Super Resolution
IEEE Access, 2023 Image Super Resolution is a potential approach that can improve the image quality of low-resolution optical sensors, leading to improved performance in various industrial applications.
Armin Mehri +2 more
doaj +1 more source
Rethinking the Inception Architecture for Computer Vision [PDF]
, 2015 Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains in various benchmarks.
Ioffe, Sergey +4 more
core +2 more sources
Intraoperative Extraction of Airways Anatomy in VideoBronchoscopy
IEEE Access, 2020 A main bottleneck in bronchoscopic biopsy sampling is to efficiently reach the lesion navigating across bronchial levels. Any guidance system should be able to localize the scope position during the intervention with minimal costs and alteration of ...
Debora Gil +4 more
doaj +1 more source
Highly Discriminative Physiological Parameters for Thermal Pattern Classification
Sensors, 2021 Infrared Thermography (IRT) is a non-contact, non-intrusive, and non-ionizing radiation tool used for detecting breast lesions. This paper analyzes the surface temperature distribution (STD) on an optimal Region of Interest (RoI) for extraction of ...
Laura Benita Alvarado-Cruz +4 more
doaj +1 more source
MRI and CT Fusion in Stereotactic Electroencephalography: A Literature Review
Applied Sciences, 2021 Epilepsy is a common neurological disease characterized by spontaneous recurrent seizures. Resection of the epileptogenic tissue may be needed in approximately 25% of all cases due to ineffective treatment with anti-epileptic drugs.
Jaime Perez +3 more
doaj +1 more source
Efficient Clustering on Riemannian Manifolds: A Kernelised Random Projection Approach [PDF]
, 2015 Reformulating computer vision problems over Riemannian manifolds has demonstrated superior performance in various computer vision applications. This is because visual data often forms a special structure lying on a lower dimensional space embedded in a ...
Alavi, Azadeh +3 more
core +2 more sources
Comparison of 3D interest point detectors and descriptors for point cloud fusion [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 The extraction and description of keypoints as salient image parts has a long tradition within processing and analysis of 2D images. Nowadays, 3D data gains more and more importance.
R. Hänsch, T. Weber, O. Hellwich
doaj +1 more source
Speech Processing in Computer Vision Applications [PDF]
, 2020 Deep learning has been recently proven to be a viable asset in determining features in the field of Speech Analysis. Deep learning methods like Convolutional Neural Networks facilitate the expansion of specific feature information in waveforms, allowing ...
Waterworth, Nicholas
core +2 more sources
A Benchmark for Symbolic Reasoning from Pixel Sequences: Grid-Level Visual Completion and Correction
MathematicsGrid structured visual data such as forms, tables, and game boards require models that pair pixel level perception with symbolic consistency under global constraints.
Lei Kang +8 more
doaj +1 more source
AUTOMATIC FUSION OF PARTIAL RECONSTRUCTIONS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Novel image acquisition tools such as micro aerial vehicles (MAVs) in form of quad- or octo-rotor helicopters support the creation of 3D reconstructions with ground sampling distances below 1 cm.
A. Wendel +3 more
doaj +1 more source