Emanuel Ben Baruch

According to our database, Emanuel Ben Baruch authored at least 12 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Distilling the Knowledge in Data Pruning.

Emanuel Ben Baruch, Adam Botach, Igor Kviatkovsky, Manoj Aggarwal, Gérard G. Medioni

CoRR, 2024

FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data.

Alon Shoshan, Nadav Bhonker, Emanuel Ben Baruch, Ori Nizan, Igor Kviatkovsky, Joshua J. Engelsma, Manoj Aggarwal, Gérard G. Medioni

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

ML-Decoder: Scalable and Versatile Classification Head.

Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben Baruch, Asaf Noy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results.

Tal Ridnik, Hussam Lawen, Emanuel Ben Baruch, Asaf Noy

CoRR, 2022

It's All in the Head: Representation Knowledge Distillation through Classifier Sharing.

Emanuel Ben Baruch, Matan Karklinsky, Yossi Biton, Avi Ben-Cohen, Hussam Lawen, Nadav Zamir

CoRR, 2022

PETA: Photo Albums Event Recognition using Transformers Attention.

Tamar Glaser, Emanuel Ben Baruch, Gilad Sharir, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Multi-label Classification with Partial Annotations using Class-aware Selective Loss.

Emanuel Ben Baruch, Tal Ridnik, Itamar Friedman, Avi Ben-Cohen, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

TResNet: High Performance GPU-Dedicated Architecture.

Tal Ridnik, Hussam Lawen, Asaf Noy, Emanuel Ben Baruch, Gilad Sharir, Itamar Friedman

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

ImageNet-21K Pretraining for the Masses.

Tal Ridnik, Emanuel Ben Baruch, Asaf Noy, Lihi Zelnik

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Asymmetric Loss For Multi-Label Classification.

Tal Ridnik, Emanuel Ben Baruch, Nadav Zamir, Asaf Noy, Itamar Friedman, Matan Protter, Lihi Zelnik-Manor

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semantic Diversity Learning for Zero-Shot Multi-label Classification.

Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Baruch, Itamar Friedman, Lihi Zelnik-Manor

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2012

Overcoming spatial denial in non-cooperative bistatic radar.

Emanuel Ben Baruch, Amir Leshem

Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012