8 citations · 9 across the 32 of their papers we have counts for
4 papers · 2 filters
Recognition of Abnormal Events in Surveillance Videos using Weakly Supervised Dual-Encoder Models
Noam Tsfaty, Avishai Weizman, Liav Cohen +2
We address the challenge of detecting rare and diverse anomalies in surveillance videos using only video-level supervision. Our dual-backbone framework combines convolutional and t…
Enhancing Classification of Streaming Data with Image Distillation
Rwad Khatib, Yehudit Aperstein
This study tackles the challenge of efficiently classifying streaming data in envi-ronments with limited memory and computational resources. It delves into the application of data…
Stitching the Story: Creating Panoramic Incident Summaries from Body-Worn Footage
Dor Cohen, Inga Efrosman, Yehudit Aperstein +1
First responders widely adopt body-worn cameras to document incident scenes and support post-event analysis. However, reviewing lengthy video footage is impractical in time-critica…
CalexNet: Soft Cascade-Aligned Training and Calibration for Lightweight Early-Exit Branches
Yehudit Aperstein, Alexander Apartsin
Early-exit cascades over a frozen convolutional backbone enable adaptive inference but suffer from three sources of train-inference mismatch: branches train on samples they will ne…