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Titlebook: Computer Vision -- ECCV 2014; 13th European Confer David Fleet,Tomas Pajdla,Tinne Tuytelaars Conference proceedings 2014 Springer Internati

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樓主: Myelopathy
31#
發(fā)表于 2025-3-26 22:56:14 | 只看該作者
32#
發(fā)表于 2025-3-27 04:39:56 | 只看該作者
Trade in Services and the Doha Round,g structure for EPLL, and overcome its training tractability challenges in high-dimensional spaces by utilizing special structures of the prior. Experimental results show that our approach accelerates state-of-the-art EPLL-based deconvolution methods by up to 40 times, with very little quality compromise.
33#
發(fā)表于 2025-3-27 08:58:03 | 只看該作者
34#
發(fā)表于 2025-3-27 09:52:50 | 只看該作者
35#
發(fā)表于 2025-3-27 17:13:45 | 只看該作者
36#
發(fā)表于 2025-3-27 20:54:15 | 只看該作者
Discriminative Indexing for Probabilistic Image Patch Priorsg structure for EPLL, and overcome its training tractability challenges in high-dimensional spaces by utilizing special structures of the prior. Experimental results show that our approach accelerates state-of-the-art EPLL-based deconvolution methods by up to 40 times, with very little quality compromise.
37#
發(fā)表于 2025-3-27 23:59:45 | 只看該作者
View-Consistent 3D Scene Flow Estimation over Multiple Framesistent multi-frame scheme greatly improves scene flow computation in the presence of occlusions, and increases its robustness against adverse imaging conditions, such as specularities. Our method currently achieves leading performance on the KITTI benchmark, for both flow and stereo.
38#
發(fā)表于 2025-3-28 03:31:07 | 只看該作者
39#
發(fā)表于 2025-3-28 08:01:15 | 只看該作者
Trade in Agriculture and the Doha Round,ke traditional methods that handle each component separately, our method jointly optimizes all layers. Our deep CNN has a lightweight structure, yet demonstrates state-of-the-art restoration quality, and achieves fast speed for practical on-line usage.
40#
發(fā)表于 2025-3-28 13:58:14 | 只看該作者
0302-9743 on, ECCV 2014, held in Zurich, Switzerland, in September 2014..The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion an
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