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03/29/2023
T-FFTRadNet: Object Detection with Swin Vision Transformers from Raw ADC Radar Signals
Object detection utilizing Frequency Modulated Continous Wave radar is b...
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05/02/2021
RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users
Object detection using automotive radars has not been explored with deep...
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03/05/2021
Point Cloud based Hierarchical Deep Odometry Estimation
Processing point clouds using deep neural networks is still a challengin...
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03/04/2021
PolarNet: Accelerated Deep Open Space Segmentation Using Automotive Radar in Polar Domain
Camera and Lidar processing have been revolutionized with the rapid deve...
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10/25/2019
A Curious Link Between Prime Numbers, the Maundy Cake Problem and Parallel Sorting
We present new theoretical algorithms that sums the n-ary comparators ou...
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07/16/2019
How much real data do we actually need: Analyzing object detection performance using synthetic and real data
In recent years, deep learning models have resulted in a huge amount of ...
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04/23/2018
Multi-scale prediction for robust hand detection and classification
In this paper, we present a multi-scale Fully Convolutional Networks (MS...
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12/03/2014