Text-Driven Stylization of Video Objects

Autor: Sebastian Loeschcke, Serge Belongie, Sagie Benaim

Publikováno v: Lecture Notes in Computer Science ISBN: 9783031250682

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::73d6553b670262aec0e46d94c1851cbb
https://doi.org/10.1007/978-3-031-25069-9_38

Identity and Attribute Preserving Thumbnail Upscaling

Autor: Lior Wolf, Noam Gat, Sagie Benaim

Publikováno v: 2021 IEEE International Conference on Image Processing (ICIP).

We consider the task of upscaling a low resolution thumbnail image of a person, to a higher resolution image, which preserves the person's identity and other attributes. Since the thumbnail image is of low resolution, many higher resolution versions

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3f9c4c878ba16abb15111c9e7d0b801
https://doi.org/10.1109/icip42928.2021.9506290

SpeedNet: Learning the Speediness in Videos

Autor: Tali Dekel, Sagie Benaim, Ariel Ephrat, Michal Irani, Inbar Mosseri, Oran Lang, William T. Freeman, Michael Rubinstein

Publikováno v: CVPR

We wish to automatically predict the "speediness" of moving objects in videos---whether they move faster, at, or slower than their "natural" speed. The core component in our approach is SpeedNet---a novel deep network trained to detect if a video is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::884b1a11f1fe8fdd58d7c3bc167dc7e5

Domain Intersection and Domain Difference

Autor: Lior Wolf, Sagie Benaim, Tomer Galanti, Michael Khaitov

Publikováno v: ICCV

We present a method for recovering the shared content between two visual domains as well as the content that is unique to each domain. This allows us to map from one domain to the other, in a way in which the content that is specific for the first do

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bd60d3fe7595821a3616ad352c0b705
https://doi.org/10.1109/iccv.2019.00354

Estimating the Success of Unsupervised Image to Image Translation

Autor: Sagie Benaim, Tomer Galanti, Lior Wolf

Publikováno v: Computer Vision – ECCV 2018-15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part V
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2018
Computer Vision – ECCV 2018 ISBN: 9783030012274
ECCV (5)

While in supervised learning, the validation error is an unbiased estimator of the generalization (test) error and complexity-based generalization bounds are abundant, no such bounds exist for learning a mapping in an unsupervised way. As a result, w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea080eace89c166e91178b9909ff893a