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Titlebook: Computer Vision – ECCV 2016; 14th European Confer Bastian Leibe,Jiri Matas,Max Welling Conference proceedings 2016 Springer International P

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樓主: 傳家寶
41#
發(fā)表于 2025-3-28 17:43:26 | 只看該作者
42#
發(fā)表于 2025-3-28 19:54:02 | 只看該作者
43#
發(fā)表于 2025-3-29 02:00:37 | 只看該作者
Facilitating and Exploring Planar Homogeneous Texture for Indoor Scene Understandingropose to exploit such structure to facilitate high-level scene understanding. By robustly fitting a texture projection model to optimal dominant frequency estimates in image patches, we arrive at a projective-invariant method to localize such semantically meaningful regions in multi-planar scenes.
44#
發(fā)表于 2025-3-29 05:58:58 | 只看該作者
45#
發(fā)表于 2025-3-29 07:15:34 | 只看該作者
Modeling Context in Referring Expressionslanguage referring expressions for objects in images. In particular, we focus on incorporating better measures of visual context into referring expression models and find that visual comparison to other objects within an image helps improve performance significantly. We also develop methods to tie t
46#
發(fā)表于 2025-3-29 11:52:51 | 只看該作者
Taxonomy-Regularized Semantic Deep Convolutional Neural Networksouped and discriminative information provided by the taxonomy, by focusing on the general and specific components that comprise each category, through the min- and difference-pooling operations. Without using any additional parameters or substantial increase in time complexity, our model is able to
47#
發(fā)表于 2025-3-29 17:21:15 | 只看該作者
48#
發(fā)表于 2025-3-29 20:22:30 | 只看該作者
Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraintse to large number of people and frequent occlusions, coupled with changes in their appearance due to different properties and exposure of cameras. To solve this problem, we model multiple Personal, Social and Environmental (PSE) constraints on human motion across cameras in crowded scenes. The perso
49#
發(fā)表于 2025-3-30 00:47:02 | 只看該作者
50#
發(fā)表于 2025-3-30 04:37:26 | 只看該作者
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