Gan-control: Explicitly controllable gans A Shoshan, N Bhonker, I Kviatkovsky, G Medioni Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 150 | 2021 |
Playing SNES in the retro learning environment N Bhonker, S Rozenberg, I Hubara arXiv preprint arXiv:1611.02205, 2016 | 24 | 2016 |
BebopNet: Deep Neural Models for Personalized Jazz Improvisations. SH Hakimi, N Bhonker, R El-Yaniv ISMIR, 828-836, 2020 | 23 | 2020 |
Synthetic data for model selection M Fintz, A Shoshan, N Bhonker, I Kviatkovsky, G Medioni arXiv preprint arXiv:2105.00717 1, 2021 | 5* | 2021 |
From real to synthetic and back: Synthesizing training data for multi-person scene understanding I Kviatkovsky, N Bhonker, G Medioni arXiv preprint arXiv:2006.02110, 2020 | 2 | 2020 |
FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data A Shoshan, N Bhonker, E Ben Baruch, O Nizan, I Kviatkovsky, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
System for synthesizing data I Kviatkovsky, NI Bhonker, A Shoshan, M Aggarwal, GG Medioni US Patent 11,537,813, 2022 | 1 | 2022 |
Asymmetric image retrieval with cross model compatible ensembles A Shoshan, O Linial, N Bhonker, E Hirsch, L Zamir, I Kviatkovsky, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
System for training of recognition system using ad hoc training data A Shoshan, M Farber, NI Bhonker, I Kviatkovsky, M Aggarwal, GG Medioni US Patent 11,714,877, 2023 | | 2023 |
System for determining embedding from multiple inputs L Zamir, M Farber, I Kviatkovsky, NI Bhonker, M Aggarwal, GG Medioni US Patent 11,670,104, 2023 | | 2023 |
Asymmetric Face Recognition with Cross Model Compatible Ensembles O Linial, A Shoshan, N Bhonker, E Hirsch, L Zamir, I Kviatkovsky, ... arXiv preprint arXiv:2303.17531, 2023 | | 2023 |
GAN-Control: Explicitly Controllable GANs—Supplementary— A Shoshan, N Bhonker, I Kviatkovsky, G Medioni | | |