巧思
发表于 2025-3-23 13:33:15
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相互影响
发表于 2025-3-23 17:52:30
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泰然自若
发表于 2025-3-23 20:36:58
Image Restoration via Multi-prior Collaboration,lar prior methods are applied to evaluate the effectiveness of the proposed multi-prior collaboration framework. Compared with the state-of-the-art image restoration approaches, the proposed framework improves the restoration performance significantly.
勤勉
发表于 2025-3-23 23:03:37
Conference proceedings 2015ACCV 2014, held in Singapore, Singapore, in November 2014..The total of 227 contributions presented in these volumes was carefully reviewed and selected from 814 submissions. The papers are organized in topical sections on recognition; 3D vision; low-level vision and features; segmentation; face and
Abjure
发表于 2025-3-24 04:36:12
Accurate Vessel Segmentation with Progressive Contrast Enhancement and Canny Refinement,ntal results on a public retinal dataset and our clinical cerebral data demonstrate that our approach outperforms state-of-the-art methods including the vesselness based method [.] and the optimally oriented flux (OOF) based method [.].
有发明天才
发表于 2025-3-24 07:53:39
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长矛
发表于 2025-3-24 10:42:53
Local Generic Representation for Face Recognition with Single Sample per Person,ation dictionary, and it uses correntropy to measure the representation residual of each patch. Half-quadratic analysis is adopted to solve the optimization problem. LGR takes the advantages of patch based local representation and generic variation representation, showing leading performance in face
ENACT
发表于 2025-3-24 14:53:42
Real-Time Head Orientation from a Monocular Camera Using Deep Neural Network,based post-processing to enhance stability of the estimation further in video sequences. We compare the performance with the state-of-the-art algorithm which utilizes depth sensor and we validate our head orientation estimator on Internet photos and video.
Cerumen
发表于 2025-3-24 20:16:39
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疯狂
发表于 2025-3-25 00:53:23
Visual Salience Learning via Low Rank Matrix Recovery,rix plus a sparse matrix. We aim at learning a unified sparse matrix that represents the salient regions using these obtained individual saliency maps. The sparse matrix can be inferred by conducting low rank matrix recovery using the robust principal component analysis technique. Experiments show t