motivate 发表于 2025-3-30 10:53:56

Learning Temporal Transformations from Time-Lapse Videost an object will look like in the future. But, what about computers? In this paper, we learn computational models of object transformations from time-lapse videos. In particular, we explore the use of generative models to create depictions of objects at future times. These models explore several dif

entrance 发表于 2025-3-30 14:53:56

Interactive Image Segmentation Using Constrained Dominant Setst sets, a well-known graph-theoretic notion of a cluster which generalizes the concept of a maximal clique to edge-weighted graphs. In particular, we show that by properly controlling a regularization parameter which determines the structure and the scale of the underlying problem, we are in a posit

诱导 发表于 2025-3-30 20:24:30

https://doi.org/10.1007/978-3-319-46484-8computational photography; image classification; particle swarm optimization; pattern mining; semantic c

IOTA 发表于 2025-3-30 21:07:28

978-3-319-46483-1Springer International Publishing AG 2016

唠叨 发表于 2025-3-31 04:33:07

Computer Vision – ECCV 2016978-3-319-46484-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

发表于 2025-3-31 05:41:21

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一小块 发表于 2025-3-31 11:45:04

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过度 发表于 2025-3-31 16:56:40

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