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Visual Attention Retargeting [PDF]
This article presents an introduction to visual attention retargeting, its connection to visual saliency, the challenges associated with it, and ideas for how it can be approached. The difficulty of attention retargeting as a saliency inversion problem lies in the lack of one-to-one mapping between saliency and the image domain, in addition to the ...
Victor A. Mateescu, Ivan V. Bajic
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A Content-Aware Image Retargeting Quality Assessment Method Using Foreground and Global Measurement
Image retargeting methods aim to minimize the perceptual loss while changing sizes and aspect ratios of images. Since optimal retargeting methods for different images are generally not the same, the image retargeting quality assessment (IRQA) becomes a ...
Yuwei Li, Lihua Guo, Lianwen Jin
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Tropism-Modification Strategies for Targeted Gene Delivery Using Adenoviral Vectors
Achieving high efficiency, targeted gene delivery with adenoviral vectors is a long-standing goal in the field of clinical gene therapy. To achieve this, platform vectors must combine efficient retargeting strategies with detargeting modifications to ...
Andrew H. Baker +6 more
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A Machine Learning Method for Detecting the Trace of Seam Carving
Image retargeting is a manipulation approach for resizing the images while aiming to keep the image distortion at a low level. Detecting image retargeting is of importance in image forensics or sometimes of importance in checking the originality. The aim
Zehra Karapinar Senturk, Devrim Akgun
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HSV as A Platform for the Generation of Retargeted, Armed, and Reporter-Expressing Oncolytic Viruses
Previously, we engineered oncolytic herpes simplex viruses (o-HSVs) retargeted to the HER2 (epidermal growth factor receptor 2) tumor cell specific receptor by the insertion of a single chain antibody (scFv) to HER2 in gD, gH, or gB.
Laura Menotti +5 more
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Allosteric integrase (IN) inhibitors (ALLINIs), which are promising preclinical compounds that engage the lens epithelium-derived growth factor (LEDGF)/p75 binding site on IN, can inhibit different aspects of human immunodeficiency virus 1 (HIV-1 ...
Parmit Kumar Singh +5 more
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Learning to Rank Retargeted Images [PDF]
Image retargeting techniques that adjust images into different\ud sizes have attracted much attention recently. Objective\ud quality assessment (OQA) of image retargeting results\ud is often desired to automatically select the best results. Existing\ud OQA methods output an absolute score for each retargeted\ud image and use these scores to compare ...
Yang Chen, Yong-Jin Liu 0001, Yu-Kun Lai
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Body Shape-Guided Motion Retargeting to Reduce Effort on Human to Humanoid Landmark Placements
Motion retargeting reduces the animator’s efforts to create robot motion by adapting human motion. However, it still requires a number of manual landmark placements to achieve satisfactory whole-body retargeted motion. Therefore, to reduce efforts
Chan-Soon Lim, Dong-Soo Kwon
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Machine learning technology is recently being applied to various fields. However, in the field of online consumer conversion, research is limited despite the high possibility of machine learning application due to the availability of big data.
Jungwon Lee +4 more
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Background On encountering a susceptible target, natural killer (NK) cells mediate cytotoxicity through highly regulated steps of directed degranulation.
Torsten Tonn +6 more
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