92 citations · 153 across the 16 of their papers we have counts for
6 papers · 1 filter
Multi-Image Super Resolution Framework for Detection and Analysis of Plant Roots
Shubham Agarwal, Ofek Nourian, Michael Sidorov +4
Understanding plant root systems is critical for advancing research in soil-plant interactions, nutrient uptake, and overall plant health. However, accurate imaging of roots in sub…
Seeing Isn't Believing: Context-Aware Adversarial Patch Synthesis via Conditional GAN
Roie Kazoom, Alon Goldberg, Hodaya Cohen +1
Adversarial patch attacks pose a severe threat to deep neural networks, yet most existing approaches rely on unrealistic white-box assumptions, untargeted objectives, or produce vi…
WARLearn: Weather-Adaptive Representation Learning
Shubham Agarwal, Raz Birman, Ofer Hadar
This paper introduces WARLearn, a novel framework designed for adaptive representation learning in challenging and adversarial weather conditions. Leveraging the in-variance princi…
Real-Time Weather Image Classification with SVM
Eden Ship, Eitan Spivak, Shubham Agarwal +2
Accurate classification of weather conditions in images is essential for enhancing the performance of object detection and classification models under varying weather conditions. T…
Enhancing Object Detection Robustness: Detecting and Restoring Confidence in the Presence of Adversarial Patch Attacks
Roie Kazoom, Raz Birman, Ofer Hadar
The widespread adoption of computer vision systems has underscored their susceptibility to adversarial attacks, particularly adversarial patch attacks on object detectors. This stu…
Deep Learning for Saliency Prediction in Natural Video
Souad Chaabouni, Jenny Benois-Pineau, Ofer Hadar +1
The purpose of this paper is the detection of salient areas in natural video by using the new deep learning techniques. Salient patches in video frames are predicted first. Then th…