ViralMultiNet: A structure-aware multimodal framework for viral protein function prediction in wastewater surveillance. [PDF]
Liu F, Lai T, Xu W, Li G.
europepmc +1 more source
Explainable blind image quality assessment with closed-loop semantic guidance and distortion diagnosis. [PDF]
Song C, Yuan F, Zhang Z.
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D<sup>2</sup>MNet: Difference-Aware Decoupling and Multi-Prompt Learning for Medical Difference Visual Question Answering. [PDF]
Lai L, Ou W, Gou J, Liu Z.
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Quality-Aware Feature Aggregation Network for Robust RGBT Tracking
IEEE Transactions on Intelligent Vehicles, 2021RGBT tracking becomes a popular computer vision task, and has a variety of applications in visual surveillance systems, self-driving cars and intelligent transportation system. This paper investigates how to perform robust visual tracking in adverse and challenging conditions using complementary visual and thermal infrared data (RGBT tracking).
Yabin Zhu, Chenglong Li, Jin Tang
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Face Detection on Distorted Images Augmented by Perceptual Quality-Aware Features
IEEE Transactions on Information Forensics and Security, 2014Motivated by the proliferation of low-cost digital cameras in mobile devices being deployed in automated surveillance networks, we study the interaction between perceptual image quality and a classic computer vision task of face detection. We quantify the degradation in performance of a popular and effective face detector when human-perceived image ...
Suriya Gunasekar, Alan C Bovik
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A no-reference underwater image quality evaluator via quality-aware features
Journal of Visual Communication and Image Representation, 2023Lu Tan, Guojia Hou
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No-Reference Video Quality Assessment Using Local Structural and Quality-Aware Deep Features
IEEE Transactions on Instrumentation and Measurement, 2023Anish Kumar Vishwakarma +1 more
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We propose the concept of quality-aware image, in which certain extracted features of the original (high-quality) image are embedded into the image data as invisible hidden messages. When a distorted version of such an image is received, users can decode
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Intelligent human hand gesture recognition by local–global fusing quality-aware features
Future Generation Computer Systems, 2021Abstract Each normal human has pairwise hands, which can make sophisticated hand gestures delivering different semantic meanings. In practice, disabled persons can communicate with each other by their hand gestures. However, for normal people without specific training process, it is challenging for them to understand the meaning of the various hand ...
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Abstract Classification, recognition, and quality assessment of aerial images strongly depends on detecting and identifying their discriminative visual features. In practice, aerial images provide clues for various applications, including disaster prediction, automatic navigation, and military target detection.
Yuanjin Xu, Ming Wei, M. M. Kamruzzaman
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