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 difentrance 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 cIOTA 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错 发表于 2025-3-31 05:41:21
http://reply.papertrans.cn/24/2342/234176/234176_56.png一小块 发表于 2025-3-31 11:45:04
http://reply.papertrans.cn/24/2342/234176/234176_57.png过度 发表于 2025-3-31 16:56:40
http://reply.papertrans.cn/24/2342/234176/234176_58.png