191 citations · 502 across the 31 of their papers we have counts for
5 papers · 2 filters
Aerial Spectral Super-Resolution using Conditional Adversarial Networks
Aneesh Rangnekar, Nilay Mokashi, Emmett Ientilucci +2
Inferring spectral signatures from ground based natural images has acquired a lot of interest in applied deep learning. In contrast to the spectra of ground based images, aerial sp…
Convolutional Drift Networks for Video Classification
Dillon Graham, Seyed Hamed Fatemi Langroudi, Christopher Kanan +1
Analyzing spatio-temporal data like video is a challenging task that requires processing visual and temporal information effectively. Convolutional Neural Networks have shown promi…
High-Resolution Multispectral Dataset for Semantic Segmentation
Ronald Kemker, Carl Salvaggio, Christopher Kanan
Unmanned aircraft have decreased the cost required to collect remote sensing imagery, which has enabled researchers to collect high-spatial resolution data from multiple sensor mod…
An Analysis of Visual Question Answering Algorithms
Kushal Kafle, Christopher Kanan
In visual question answering (VQA), an algorithm must answer text-based questions about images. While multiple datasets for VQA have been created since late 2014, they all have fla…
Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning
Ronald Kemker, Carl Salvaggio, Christopher Kanan
Deep convolutional neural networks (DCNNs) have been used to achieve state-of-the-art performance on many computer vision tasks (e.g., object recognition, object detection, semanti…