Agricultural domains are being transformed by recent advances in AI and
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Understanding pedestrian behavior patterns is a key component to buildin...
In Smart City and Vehicle-to-Everything (V2X) systems, acquiring pedestr...
We introduce ViFiCon, a self-supervised contrastive learning scheme whic...
The costly process of obtaining semantic segmentation labels has driven
...
Machine vision for precision agriculture has attracted considerable rese...
Accurate flood detection in near real time via high resolution, high lat...
Moving cameras provide multiple intensity measurements per pixel, yet of...
We consider the challenge of automated steering angle prediction for sel...
The connection between visual input and tactile sensing is critical for
...
Precision agriculture has become a key factor for increasing crop yields...
Material recognition methods use image context and local cues for pixel-...
We present a texture network called Deep Encoding Pooling Network (DEP) ...
Recent work has made significant progress in improving spatial resolutio...
Despite the rapid progress in style transfer, existing approaches using
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We propose a Deep Texture Encoding Network (Deep-TEN) with a novel Encod...
Material recognition for real-world outdoor surfaces has become increasi...
We exploit human color metamers to send light-modulated messages less vi...
Images are the standard input for vision algorithms, but one-shot infiel...
We introduce a novel method for using reflectance to identify materials....