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Direct inference on compressive measurements using convolutional neural networks.

, , and . ICIP, page 1913-1917. IEEE, (2016)

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Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images., , , , , , , and . CVPR, page 459-468. IEEE, (2023)Rank-Regularized Measurement Operators for Compressive Imaging., , , and . ACSSC, page 942-946. IEEE, (2019)Scene Graph Driven Text-Prompt Generation for Image Inpainting., , , , , and . CVPR Workshops, page 759-768. IEEE, (2023)Reconstruction-free inference on compressive measurements., , , , and . CVPR Workshops, page 16-24. IEEE Computer Society, (2015)GEMS: Scene Expansion using Generative Models of Graphs., , , , , and . WACV, page 157-166. IEEE, (2023)Compressive Light Field Reconstructions using Deep Learning., , , , , and . CoRR, (2018)Recurrence textures for human activity recognition from compressive cameras., and . ICIP, page 1417-1420. IEEE, (2012)GEMS: Scene Expansion using Generative Models of Graphs., , , , , and . CoRR, (2022)Computer Vision from Spatial-Multiplexing Cameras at Low Measurement Rates.. Arizona State University, Tempe, USA, (2017)base-search.net (ftarizonastateun:item:45490).SemIE: Semantically-aware Image Extrapolation., , , , , and . ICCV, page 14880-14889. IEEE, (2021)