Tal Reiss

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Unsupervised Learning

Detecting Anomalies

Anomalous Behavior

One Class Support Vector Machines

Top Venues

ECCV Workshops (4)

Publications

Tal Reiss, George Kour, Naama Zwerdling, Ateret Anaby-Tavor, Yedid Hoshen
From Zero to Hero: Cold-Start Anomaly Detection. ACL (Findings) (2024)
Bar Cavia, Eliahu Horwitz, Tal Reiss, Yedid Hoshen
Real-Time Deepfake Detection in the Real-World. CoRR (2024)
Tal Reiss, George Kour, Naama Zwerdling, Ateret Anaby-Tavor, Yedid Hoshen
From Zero to Hero: Cold-Start Anomaly Detection. CoRR (2024)
Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. ICCV (2023)
Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. CoRR (2023)
Tal Reiss, Bar Cavia, Yedid Hoshen
Detecting Deepfakes Without Seeing Any. CoRR (2023)
Tal Reiss, Yedid Hoshen
Mean-Shifted Contrastive Loss for Anomaly Detection. AAAI (2023)
Tal Reiss, Niv Cohen, Yedid Hoshen
No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection. CoRR (2023)
Tal Reiss, Yedid Hoshen
Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection. CoRR (2022)
Tal Reiss, Niv Cohen, Eliahu Horwitz, Ron Abutbul, Yedid Hoshen
Anomaly Detection Requires Better Representations. CoRR (2022)
Tal Reiss, Niv Cohen, Eliahu Horwitz, Ron Abutbul, Yedid Hoshen
Anomaly Detection Requires Better Representations. ECCV Workshops (4) (2022)
Tal Reiss, Yedid Hoshen
Mean-Shifted Contrastive Loss for Anomaly Detection. CoRR (2021)
Guy Amir, Ayala Prusak, Tal Reiss, Nir Zabari, Dror G. Feitelson
Use and Perceptions of Multi-Monitor Workstations: A Natural Experiment. SER&IP@ICSE (2021)
Guy Amir, Ayala Prusak, Tal Reiss, Nir Zabari, Dror G. Feitelson
Use and Perceptions of Multi-Monitor Workstations: A Natural Experiment. CoRR (2021)
Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation. CVPR (2021)
Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen
PANDA - Adapting Pretrained Features for Anomaly Detection. CoRR (2020)