8 citations · 9 across the 6 of their papers we have counts for
4 papers · 1 filter
A Comparative Study of Vision Transformers and CNNs for Few-Shot Rigid Transformation and Fundamental Matrix Estimation
Alon Kaya, Igal Bilik, Inna Stainvas
Vision-transformers (ViTs) and large-scale convolution-neural-networks (CNNs) have reshaped computer vision through pretrained feature representations that enable strong transfer l…
RGBX-DiffusionDet: A Framework for Multi-Modal RGB-X Object Detection Using DiffusionDet
Eliraz Orfaig, Inna Stainvas, Igal Bilik
This work introduces RGBX-DiffusionDet, an object detection framework extending the DiffusionDet model to fuse the heterogeneous 2D data (X) with RGB imagery via an adaptive multim…
Enhanced Automotive Object Detection via RGB-D Fusion in a DiffusionDet Framework
Eliraz Orfaig, Inna Stainvas, Igal Bilik
Vision-based autonomous driving requires reliable and efficient object detection. This work proposes a DiffusionDet-based framework that exploits data fusion from the monocular cam…
Deep Radar Detector
Daniel Brodeski, Igal Bilik, Raja Giryes
While camera and LiDAR processing have been revolutionized since the introduction of deep learning, radar processing still relies on classical tools. In this paper, we introduce a…