Oron Anschel

According to our database, Oron Anschel authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Towards Quantitative Evaluation Metrics for Image Editing Approaches.

Dana Cohen Hochberg, Oron Anschel, Alon Shoshan, Igor Kviatkovsky, Manoj Aggarwal, Gérard Guy Medioni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

On Calibration of Scene-Text Recognition Models.

Ron Slossberg, Oron Anschel, Amir Markovitz, Ron Litman, Aviad Aberdam, Shahar Tsiper, Shai Mazor, Jon Wu, R. Manmatha

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

GLASS: Global to Local Attention for Scene-Text Spotting.

Roi Ronen, Shahar Tsiper, Oron Anschel, Inbal Lavi, Amir Markovitz, R. Manmatha

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning Multimodal Affinities for Textual Editing in Images.

Or Perel, Oron Anschel, Omri Ben-Eliezer, Shai Mazor, Hadar Averbuch-Elor

ACM Trans. Graph., 2021

Sequence-to-Sequence Contrastive Learning for Text Recognition.

Aviad Aberdam, Ron Litman, Shahar Tsiper, Oron Anschel, Ron Slossberg, Shai Mazor, R. Manmatha, Pietro Perona

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

SCATTER: Selective Context Attentional Scene Text Recognizer.

Ron Litman, Oron Anschel, Shahar Tsiper, Roee Litman, Shai Mazor, R. Manmatha

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2017

End-to-End Differentiable Adversarial Imitation Learning.

Nir Baram, Oron Anschel, Itai Caspi, Shie Mannor

Proceedings of the 34th International Conference on Machine Learning, 2017

Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning.

Oron Anschel, Nir Baram, Nahum Shimkin

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Model-based Adversarial Imitation Learning.

Nir Baram, Oron Anschel, Shie Mannor

CoRR, 2016

Deep Reinforcement Learning with Averaged Target DQN.

Oron Anschel, Nir Baram, Nahum Shimkin

CoRR, 2016