Deep Reinforcement Learning with Averaged Target DQN. - Oron Anschel; Nir Baram; Nahum Shimkin (CoRR, 2016)

Model-based Adversarial Imitation Learning. - Nir Baram; Oron Anschel; Shie Mannor (CoRR, 2016)

Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning. - Oron Anschel; Nir Baram; Nahum Shimkin (ICML, 2017)

End-to-End Differentiable Adversarial Imitation Learning. - Nir Baram; Oron Anschel; Itai Caspi; Shie Mannor (ICML, 2017)

SCATTER: Selective Context Attentional Scene Text Recognizer. - Ron Litman; Oron Anschel; Shahar Tsiper; Roee Litman; Shai Mazor; R. Manmatha (CVPR, 2020)

Sequence-to-Sequence Contrastive Learning for Text Recognition. - Aviad Aberdam; Ron Litman; Shahar Tsiper; Oron Anschel; Ron Slossberg; Shai Mazor; R. Manmatha; Pietro Perona (CVPR, 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)

GLASS: Global to Local Attention for Scene-Text Spotting. - Roi Ronen; Shahar Tsiper; Oron Anschel; Inbal Lavi; Amir Markovitz; R. Manmatha (ECCV (28), 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 (ECCV Workshops (4), 2022)

Towards Quantitative Evaluation Metrics for Image Editing Approaches. - Dana Cohen Hochberg; Oron Anschel; Alon Shoshan; Igor Kviatkovsky; Manoj Aggarwal; Gérard Guy Medioni (CVPR Workshops, 2024)

LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders. - Ilan Naiman; Emanuel Ben Baruch; Oron Anschel; Alon Shoshan; Igor Kviatkovsky; Manoj Aggarwal; Gérard G. Medioni (CoRR, 2025)