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20152021
most citedGenerative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification

167 citations · 495 across the 52 of their papers we have counts for

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Showing 2017Show all

8 papers · 1 filter

cs.LG201716 cited

JADE: Joint Autoencoders for Dis-Entanglement

Ershad Banijamali, Amir-Hossein Karimi, Alexander Wong +1

The problem of feature disentanglement has been explored in the literature, for the purpose of image and video processing and text analysis. State-of-the-art methods for disentangl…

cs.NE201724 cited

SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis

Mohammad Javad Shafiee, Francis Li, Brendan Chwyl +1

While deep neural networks have been shown in recent years to outperform other machine learning methods in a wide range of applications, one of the biggest challenges with enabling…

cs.CV2017

Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection

Mohammad Javad Shafiee, Alexander Wong

While skin cancer is the most diagnosed form of cancer in men and women, with more cases diagnosed each year than all other cancers combined, sufficiently early diagnosis results i…

cs.CV201771 cited

Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video

Mohammad Javad Shafiee, Brendan Chywl, Francis Li +1

Object detection is considered one of the most challenging problems in this field of computer vision, as it involves the combination of object classification and object localizatio…

cs.NE2017

The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis

Audrey Chung, Mohammad Javad Shafiee, Paul Fieguth +1

Evolutionary deep intelligence was recently proposed as a method for achieving highly efficient deep neural network architectures over successive generations. Drawing inspiration f…

cs.CV201720 cited

A new take on measuring relative nutritional density: The feasibility of using a deep neural network to assess commercially-prepared pureed food concentrations

Kaylen J. Pfisterer, Robert Amelard, Audrey G. Chung +1

Dysphagia affects 590 million people worldwide and increases risk for malnutrition. Pureed food may reduce choking, however preparation differences impact nutrient density making q…