Results 11 to 20 of about 13,444,099 (340)
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
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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
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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
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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
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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
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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
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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
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Applied Sciences, 2022 Currently, the field of transparent image analysis has gradually become a hot topic. However, traditional analysis methods are accompanied by large amounts of carbon emissions, and consumes significant manpower and material resources.
Hechen Yang +9 more
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, 2004 This lesson plan details an activity designed to put students in the role of scientists in analyzing the geological processes that occur on terrestrial planets - i.e. Earth and Mars.
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DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars
Remote Sensing, 2020 Mapping planetary surfaces is an intricate task that forms the basis for many geologic, geomorphologic, and geographic studies of planetary bodies. In this work, we present a method to automate a specific type of planetary mapping, geomorphic mapping ...
Thorsten Wilhelm +6 more
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