64 citations
- General Electric (United States)US2 papers
- Association for Computing MachineryUS1 paper
- Ben-Gurion University of the NegevIL1 paper
- Bielefeld UniversityDE1 paper
- California Southern UniversityUS1 paper
- Cardiff UniversityGB1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- General Motors (Poland)PL1 paper
- Google (United States)US1 paper
- Institut Jean Le Rond d'AlembertFR1 paper
- Jilin Medical UniversityCN1 paper
- Jilin UniversityCN1 paper
5 papers · 1 filter
BoostRad: Enhancing Object Detection by Boosting Radar Reflections
Yuval Haitman, Oded Bialer
Automotive radars have an important role in autonomous driving systems. The main challenge in automotive radar detection is the radar's wide point spread function (PSF) in the angu…
Adversarial Attacks with Time-Scale Representations
Alberto Santamaria-Pang, Jianwei Qiu, Aritra Chowdhury +4
We propose a novel framework for real-time black-box universal attacks which disrupts activations of early convolutional layers in deep learning models. Our hypothesis is that pert…
Parallel mesh reconstruction streams for pose estimation of interacting hands
Uri Wollner, Guy Ben-Yosef
We present a new multi-stream 3D mesh reconstruction network (MSMR-Net) for hand pose estimation from a single RGB image. Our model consists of an image encoder followed by a mesh-…
Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages
Aritra Chowdhury, Alberto Santamaria-Pang, James R. Kubricht +2
The coronavirus disease (COVID-19) has resulted in a pandemic crippling the a breadth of services critical to daily life. Segmentation of lung infections in computerized tomography…
Feature Space Augmentation for Long-Tailed Data
Peng Chu, Xiao Bian, Shaopeng Liu +1
Real-world data often follow a long-tailed distribution as the frequency of each class is typically different. For example, a dataset can have a large number of under-represented c…