Purdue University Graduate School
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Emanuele Plebani

Computer vision

Indianapolis

Publications

  • Automated Generation of a Single Shot Detector C Library from High Level Deep Learning Frameworks
  • Accurate omnidirectional multi-camera embedded structure from motion
  • Efficient light harvesting for accurate neural classification of human activities
  • Embedded Real-Time Visual Search with Visual Distance Estimation
  • Mixing retrieval and tracking using compact visual descriptors
  • Parallelized Convolutions for Embedded Ultra Low Power Deep Learning SoC
  • Visual Search of multiple objects from a single query
  • Textflow: Toward Supporting Screen-free Manipulation of Situation-Relevant Smart Messages
  • Pre-trainable reservoir computing with recursive neural gas
  • Complexity and accuracy of hand-crafted detection methods compared to convolutional neural networks
  • A machine learning toolkit for CRISM image analysis
  • COSSIM: An open-source integrated solution to address the simulator gap for systems of systems
  • An open-source extendable, highly-accurate and security aware simulator for cloud applications
  • High-throughput segmentation of unmyelinated axons by deep learning
  • A novel, highly integrated simulator for parallel and distributed systems
  • Low-power Design of a Gravity Rotation Module for HAR Systems Based on Inertial Sensors
  • A novel statistical methodology for quantifying the spatial arrangements of axons in peripheral nerves
  • RGB-D Visual Search with Compact Binary Codes
  • Accurate cyber-physical system simulation for distributed visual search applications
  • Training an object detector using only positive samples
  • A novel statistical methodology for quantifying the spatial arrangements of axons in peripheral nerves
  • Intelligent Recognition of TCP Intrusions for Embedded Micro-controllers
  • Accurate characterization of embedded Structure from Motion
  • The orlando project: A 28 nm FD-SOI low memory embedded neural network ASIC
  • High-throughput segmentation of unmyelinated axons by deep learning
  • Studying the effects of feature extraction settings on the accuracy and memory requirements of neural networks for keyword spotting
  • Textflow: Screenless Access to Non-Visual Smart Messaging
  • Reduced memory region based deep Convolutional Neural Network detection

Emanuele Plebani's public data