Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Bhonker, Nadav"'
Autor:
Shoshan, Alon, Bhonker, Nadav, Baruch, Emanuel Ben, Nizan, Ori, Kviatkovsky, Igor, Engelsma, Joshua, Aggarwal, Manoj, Medioni, Gerard
Training fingerprint recognition models using synthetic data has recently gained increased attention in the biometric community as it alleviates the dependency on sensitive personal data. Existing approaches for fingerprint generation are limited in
Externí odkaz:
http://arxiv.org/abs/2310.19024
Autor:
Linial, Ori, Shoshan, Alon, Bhonker, Nadav, Hirsch, Elad, Zamir, Lior, Kviatkovsky, Igor, Medioni, Gerard
The asymmetrical retrieval setting is a well suited solution for resource constrained applications such as face recognition and image retrieval. In this setting, a large model is used for indexing the gallery while a lightweight model is used for que
Externí odkaz:
http://arxiv.org/abs/2303.17531
Recent breakthroughs in synthetic data generation approaches made it possible to produce highly photorealistic images which are hardly distinguishable from real ones. Furthermore, synthetic generation pipelines have the potential to generate an unlim
Externí odkaz:
http://arxiv.org/abs/2105.00717
We present a framework for training GANs with explicit control over generated images. We are able to control the generated image by settings exact attributes such as age, pose, expression, etc. Most approaches for editing GAN-generated images achieve
Externí odkaz:
http://arxiv.org/abs/2101.02477
We present a method for synthesizing naturally looking images of multiple people interacting in a specific scenario. These images benefit from the advantages of synthetic data: being fully controllable and fully annotated with any type of standard or
Externí odkaz:
http://arxiv.org/abs/2006.02110
Mastering a video game requires skill, tactics and strategy. While these attributes may be acquired naturally by human players, teaching them to a computer program is a far more challenging task. In recent years, extensive research was carried out in
Externí odkaz:
http://arxiv.org/abs/1611.02205
Autor:
Linial, Ori, Shoshan, Alon, Bhonker, Nadav, Hirsch, Elad, Zamir, Lior, Kviatkovsky, Igor, Medioni, Gerard
The asymmetrical retrieval setting is a well suited solution for resource constrained face recognition. In this setting a large model is used for indexing the gallery while a lightweight model is used for querying. The key principle in such systems i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::440effc635d4139ee21fd6f5ce7e0202
A major bottleneck in the evaluation of music generation is that music appreciation is a highly subjective matter. When considering an average appreciation as an evaluation metric, user studies can be helpful. The challenge of generating personalized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80802ba233d9f2f914baa8fe23d909ee
Publikováno v:
International Society for Music Information Retrieval Conference Proceedings; 2020, p828-836, 9p
