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Titlebook: Computer Vision -- ACCV 2014; 12th Asian Conferenc Daniel Cremers,Ian Reid,Ming-Hsuan Yang Conference proceedings 2015 Springer Internation

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樓主: Tyler
31#
發(fā)表于 2025-3-26 23:07:40 | 只看該作者
32#
發(fā)表于 2025-3-27 04:47:27 | 只看該作者
33#
發(fā)表于 2025-3-27 06:34:10 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234013.jpg
34#
發(fā)表于 2025-3-27 13:26:45 | 只看該作者
https://doi.org/10.1007/978-3-319-16817-3Action recognition; Aerial images; Camera calibration; City-scale; Data Mining; Differential constraints;
35#
發(fā)表于 2025-3-27 17:03:18 | 只看該作者
36#
發(fā)表于 2025-3-27 19:44:13 | 只看該作者
Cutaneous Arteries of the Lower Extremityays defined by the local distribution or histogram. But the huge expense of computing the distribution hampers the popularity of these filters in real-time or interactive-rate systems. In this paper, we present an efficient and practical method to estimate the local weighted distribution for the wei
37#
發(fā)表于 2025-3-28 00:58:28 | 只看該作者
The Cutaneous Arteries of the Human Bodyregation methods; six unsupervised and four supervised learning methods are tested on two existing eye fixation datasets. Results show that a simple average of the TOP 2 saliency maps significantly outperforms the best saliency models. Considering more saliency models tends to decrease the performan
38#
發(fā)表于 2025-3-28 05:14:59 | 只看該作者
Cutaneous Arteries of the Lower Extremityle, subtle/micro-expressions are rarely analyzed, due to three main difficulties: inter-class similarity (hardly discriminate facial expressions of two subtle emotional states from a person), intra-class dissimilarity (different facial morphology and behaviors of two subjects in one subtle emotion s
39#
發(fā)表于 2025-3-28 06:34:02 | 只看該作者
Polina Yu. Grosheva,Nataliya V. Bondarchukons at the right locations and scales, for identity based matching of face images. It performs well in the presence of occlusions, by avoiding the occluded regions and selecting the next best visible regions. We show quantitatively, by experiments on the standard benchmark dataset Labeled Faces in t
40#
發(fā)表于 2025-3-28 12:28:51 | 只看該作者
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