Tal Reiss - RankMe

19 papers A* 3Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Alterbute: Editing Intrinsic Attributes of Objects in Images. CoRR Tal Reiss, Daniel Winter, Matan Cohen, Alex Rav-Acha, Yael Pritch, Ariel Shamir, Yedid Hoshen
2025	J	`jnl`	An Attribute-based Method for Video Anomaly Detection. Trans. Mach. Learn. Res. Tal Reiss, Yedid Hoshen
2025	J	`jnl`	Enabling Users to Falsify Deepfake Attacks. Trans. Mach. Learn. Res. Tal Reiss, Bar Cavia, Yedid Hoshen
2024	—	`conf`	From Zero to Hero: Cold-Start Anomaly Detection. ACL (Findings) Tal Reiss, George Kour, Naama Zwerdling, Ateret Anaby-Tavor, Yedid Hoshen
2024	J	`jnl`	From Zero to Hero: Cold-Start Anomaly Detection. CoRR Tal Reiss, George Kour, Naama Zwerdling, Ateret Anaby-Tavor, Yedid Hoshen
2024	J	`jnl`	Real-Time Deepfake Detection in the Real-World. CoRR Bar Cavia, Eliahu Horwitz, Tal Reiss, Yedid Hoshen
2023	J	`jnl`	Detecting Deepfakes Without Seeing Any. CoRR Tal Reiss, Bar Cavia, Yedid Hoshen
2023	A*	`conf`	Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. ICCV Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein
2023	J	`jnl`	Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. CoRR Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein
2023	A*	`conf`	Mean-Shifted Contrastive Loss for Anomaly Detection. AAAI Tal Reiss, Yedid Hoshen
2023	J	`jnl`	No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection. CoRR Tal Reiss, Niv Cohen, Yedid Hoshen
2022	—	`conf`	Anomaly Detection Requires Better Representations. ECCV Workshops (4) Tal Reiss, Niv Cohen, Eliahu Horwitz, Ron Abutbul, Yedid Hoshen
2022	J	`jnl`	Anomaly Detection Requires Better Representations. CoRR Tal Reiss, Niv Cohen, Eliahu Horwitz, Ron Abutbul, Yedid Hoshen
2022	J	`jnl`	Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection. CoRR Tal Reiss, Yedid Hoshen
2021	J	`jnl`	Mean-Shifted Contrastive Loss for Anomaly Detection. CoRR Tal Reiss, Yedid Hoshen
2021	A*	`conf`	PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation. CVPR Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen
2021	—	`conf`	Use and Perceptions of Multi-Monitor Workstations: A Natural Experiment. SER&IP@ICSE Guy Amir, Ayala Prusak, Tal Reiss, Nir Zabari, Dror G. Feitelson
2021	J	`jnl`	Use and Perceptions of Multi-Monitor Workstations: A Natural Experiment. CoRR Guy Amir, Ayala Prusak, Tal Reiss, Nir Zabari, Dror G. Feitelson
2020	J	`jnl`	PANDA - Adapting Pretrained Features for Anomaly Detection. CoRR Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen