Tal Reiss

According to our database1, Tal Reiss authored at least 9 papers between 2020 and 2023.

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Bibliography

2023
Detecting Deepfakes Without Seeing Any.
CoRR, 2023

No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection.
CoRR, 2023

Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mean-Shifted Contrastive Loss for Anomaly Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection.
CoRR, 2022

Anomaly Detection Requires Better Representations.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Use and Perceptions of Multi-Monitor Workstations: A Natural Experiment.
Proceedings of the 8th IEEE/ACM International Workshop on Software Engineering Research and Industrial Practice, 2021

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
PANDA - Adapting Pretrained Features for Anomaly Detection.
CoRR, 2020


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