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ORCID47th AIPR 2018: Washington, DC, USA
- 47th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018, Washington, DC, USA, October 9-11, 2018. IEEE 2018, ISBN 978-1-5386-9306-3
- David Kornish, Soundararajan Ezekiel, Maria Cornacchia:
Fusion based Heterogeneous Convolutional Neural Networks Architecture. 1-6 - Aleem Khaliq, Maria Angela Musci, Marcello Chiaberge:
Analyzing relationship between maize height and spectral indices derived from remotely sensed multispectral imagery. 1-5 - Skyler Maxwell, Matthew Kilcher, Alexander Benasutti, Brandon Siebert, Warren Seto, Olivia Shanley, Larry Pearlstein:
Automated Detection of Colorspace Via Convolutional Neural Network. 1-5 - Ervin Teng, João Diogo Falcão, Rui Huang, Bob Iannucci:
ClickBAIT: Click-based Accelerated Incremental Training of Convolutional Neural Networks. 1-12 - Noor M. Al-Shakarji, Filiz Bunyak
, Guna Seetharaman, Kannappan Palaniappan:
Robust Multi-object Tracking for Wide Area Motion Imagery. 1-5 - Shuyue Guan, Nada Kamona, Murray H. Loew:
Segmentation of Thermal Breast Images Using Convolutional and Deconvolutional Neural Networks. 1-7 - Ibrahim F. Jasim Ghalyan, Aneesh Jaydeep, Vikram Kapila:
Learning Robot-Object Distance Using Bayesian Regression with Application to A Collision Avoidance Scenario. 1-7 - Marissa Dotter, Chris M. Ward:
Visualizing Compression of Deep Learning Models for Classification. 1-8 - Neha Mittal, Madasu Hanmandlu, Shantaram Vasikarla:
An Authentication System based on Hybrid Fusion of Finger-Shapes & Geometry. 1-7 - Hiroki Tani, Ryunosuke Kotani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi:
Diagnosis of Multiple Cucumber Infections with Convolutional Neural Networks. 1-4 - Ibrahim F. Jasim Ghalyan, Vikram Kapila:
Acquiring Abstract Visual Knowledge of the Real-World Environment for Autonomous Vehicles. 1-7 - Yasmin M. Kassim, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan:
Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery. 1-5 - David Kornish, Soundararajan Ezekiel, Maria Cornacchia:
DCNN Augmentation via Synthetic Data from Variational Autoencoders and Generative Adversarial Networks. 1-6 - Ali S. Hamad, Ilker Ersoy, Filiz Bunyak:
Improving Nuclei Classification Performance in H&E Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network. 1-6 - Kalpathy Sivaraman, Abhishek Murthy:
Object Recognition under Lighting Variations using Pre-Trained Networks. 1-7 - Samsara N. Counts, Justine-Louise Manning, Robert Pless:
Characterizing the Visual Social Media Environment of Eating Disorders. 1-6 - Teena Sharma, Pooja Agrawal, Piyush Sahoo, Nishchal K. Verma, Shantaram Vasikarla:
Line Segments based Rotation Invariant Descriptor for Disparate Images. 1-8 - Rumana Aktar, Hadi Aliakbarpour, Filiz Bunyak, Guna Seetharaman, Kannappan Palaniappan:
Performance Evaluation of Feature Descriptors for Aerial Imagery Mosaicking. 1-7 - Gilbert Rotich, Sathyanarayanan N. Aakur, Rodrigo Minetto, Maurício Pamplona Segundo, Sudeep Sarkar:
Using Semantic Relationships among Objects for Geospatial Land Use Classification. 1-7 - Tyler W. Nivin, Grant J. Scott, James Alex Hurt, Raymond L. Chastain, Curt H. Davis:
Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset. 1-7 - Shunsuke Kitada, Ryunosuke Kotani, Hitoshi Iyatomi:
End-to-End Text Classification via Image-based Embedding using Character-level Networks. 1-4 - R. Manikandan:
Sign Recognition - How well does Single Shot Multibox Detector sum up? A Quantitative Study. 1-13 - Jon Patman, Sabrina C. J. Michael, Marvin M. F. Lutnesky, Kannappan Palaniappan:
BioSense: Real-Time Object Tracking for Animal Movement and Behavior Research. 1-8 - Mark D. Pritt:
Deep Learning for Recognizing Mobile Targets in Satellite Imagery. 1-7 - Huamei Chen, John M. Irvine, Zhonghai Wang, Genshe Chen, Erik Blasch, James G. Nagy:
Predicting Interpretability Loss in Thermal IR Imagery due to Compression. 1-6 - Alan P. Schaum:
Principles of Dual Fusion Detection. 1-4 - Shawn Recker, Christiaan P. Gribble, Mark Butkiewicz:
Autonomous Precision Landing for the Joint Tactical Aerial Resupply Vehicle. 1-8 - Ryan J. Soldin:
SAR Target Recognition with Deep Learning. 1-8 - John M. Irvine, Laura J. Mariano, Teal Guidici:
Normalcy Modeling Using a Dictionary of Activities Learned from Motion Imagery Tracking Data. 1-9 - Andrew R. Kalukin:
Automated Video Interpretability Assessment using Convolutional Neural Networks. 1-2 - Hyun Jung, Christian Suloway, Tianyi Miao, Elijah F. Edmondson, David R. Morcock, Claire Deleage, Yanling Liu, Jack R. Collins, Curtis Lisle:
Integration of Deep Learning and Graph Theory for Analyzing Histopathology Whole-slide Images. 1-5 - Randy S. Roberts, John W. Goforth, George F. Weinert, Charles W. Grant, Will R. Ray, Brad J. Stinson, Andrew M. Duncan:
Automated Annotation of Satellite Imagery using Model-based Projections. 1-8 - Nagaswathi Amamcherla, Anish C. Turlapaty, Balakrishna Gokaraju:
A Machine Learning System for Classification of EMG Signals to Assist Exoskeleton Performance. 1-4 - Jeremy Straub:
Cybersecurity Considerations for Image Pattern Recognition Applications. 1-6 - David Kornish, Justin Geary, Victor Sansing, Soundararajan Ezekiel, Larry Pearlstein, Laurent Njilla:
Malware Classification using Deep Convolutional Neural Networks. 1-6 - Aleem Khaliq, Maria Angela Musci, Marcello Chiaberge:
Understanding effects of atmospheric variables on spectral vegetation indices derived from satellite based time series of multispectral images. 1-4 - Nancy Ronquillo, Josh Harguess:
On Evaluating Video-based Generative Adversarial Networks (GANs). 1-7 - James Alex Hurt, Grant J. Scott, Derek T. Anderson, Curt H. Davis:
Benchmark Meta-Dataset of High-Resolution Remote Sensing Imagery for Training Robust Deep Learning Models in Machine-Assisted Visual Analytics. 1-9 - Samed AL, Irfan Karagoz, Ali Dogan:
An Improved Star Detection Algorithm Using a Combination of Statistical and Morphological Image Processing Techniques. 1-6
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