Results 21 to 30 of about 13,865,362 (341)
Hypercomplex Image- to- Image Translation
2022 International Joint Conference on Neural Networks (IJCNN), 2022 Image-to-image translation (I2I) aims at transferring the content representation from an input domain to an output one, bouncing along different target domains. Recent I2I generative models, which gain outstanding results in this task, comprise a set of diverse deep networks each with tens of million parameters.
Eleonora Grassucci +3 more
openaire +3 more sources
The body as image: image as body [PDF]
, 2017 Pain consultations are often contested spaces where patient and clinician compete for the roles of speaker. Often patients are searching for mechanical explanations and clinicians for psychological ones - creating an impasse and causing distress to both ...
Chadwick, T, Omand, H, Padfield, D
core +3 more sources
Inferring causal relations from observational long-term carbon and water fluxes records
Scientific Reports, 2022 Land, atmosphere and climate interact constantly and at different spatial and temporal scales. In this paper we rely on causal discovery methods to infer spatial patterns of causal relations between several key variables of the carbon and water cycles ...
Emiliano Díaz +4 more
doaj +1 more source
A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification
IEEE Access, 2019 Person re-identification has gradually become a popular research topic in many fields such as security, criminal investigation, and video analysis. This paper aims to learn a discriminative and robust spatial–temporal representation for video ...
Wanru Song +4 more
doaj +1 more source
Video Object Detection Guided by Object Blur Evaluation
IEEE Access, 2020 In recent years, the excellent image-based object detection algorithms are transferred to the video object detection directly. These frame-by-frame processing methods are suboptimal owing to the degenerate object appearance such as motion blur, defocus ...
Yujie Wu +4 more
doaj +1 more source
Large Margin Image Set Representation and Classification [PDF]
, 2014 In this paper, we propose a novel image set representation and classification method by maximizing the margin of image sets. The margin of an image set is defined as the difference of the distance to its nearest image set from different classes and the ...
Alzahrani, Majed +2 more
core +2 more sources
Feature Encoder Guided Generative Adversarial Network for Face Photo-Sketch Synthesis
IEEE Access, 2019 Face photo-sketch synthesis often suffers from many problems, such as low clarity, facial distortion, contents loss, texture missing and color inconsistency in the synthesized images.
Jieying Zheng +4 more
doaj +1 more source
Extended Global–Local Representation Learning for Video Person Re-Identification
IEEE Access, 2019 Recently, person re-identification has become one of the research hotspots in the field of computer vision and has received extensive attention in the academic community.
Wanru Song +4 more
doaj +1 more source
Retinal Imaging and Image Analysis [PDF]
IEEE Reviews in Biomedical Engineering, 2010 Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses on retinal imaging and image analysis. Following a brief overview of the most prevalent causes of blindness in the industrialized world that includes age ...
Abramoff, M.D. +2 more
openaire +3 more sources
IEEE Access, 2019 In this paper, a novel multilayer hidden conditional random fields (MHCRFs)-based cervical histopathology image classification (CHIC) model is proposed to classify well, moderate and poorly differentiation stages of cervical cancer using a weakly ...
Chen Li +7 more
doaj +1 more source