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ORCID48th AIPR 2019: Washington, DC, USA
- 48th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2019, Washington, DC, USA, October 15-17, 2019. IEEE 2019, ISBN 978-1-7281-4732-1
- John M. Irvine, Joshua Nolan, Nathaniel Hofmann, Dale Lewis, Twakundine Simpamba, Paul Zyambo, Alexander J. Travis, Sheila Hemami:
Estimating the Population of Large Animals in the Wild Using Satellite Imagery: A Case Study of Hippos in Zambia's Luangwa River. 1-8 - Feng Yang, Hang Yu, Kamolrat Silamut, Richard James Maude
, Stefan Jäger, Sameer K. Antani:
Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN on Smartphones. 1-4 - Safaa Albasri, Mihail Popescu, James Keller:
Surgery Task Classification Using Procrustes Analysis. 1-6 - Shibashish Sen, Manikandan Ravikiran:
Enhancing Image Representations for Occluded Face Recognition via Reference Conditioned Low-Rank projection. 1-9 - David R. Emerson, Lauren A. Christopher:
3-D Scene Reconstruction Using Depth from Defocus and Deep Learning. 1-8 - Laurent Njilla, Larry Pearlstein, Xin-Wen Wu, Adam Lutz, Soundararajan Ezekiel:
Internet of Things Anomaly Detection using Machine Learning. 1-6 - Connor Greenwell, Scott Workman, Nathan Jacobs:
Implicit Land Use Mapping Using Social Media Imagery. 1-4 - James P. Larue:
Single-Period Single-Frequency (SPSF) Visualization of an EEG's Striatal Beat Frequency. 1-5 - Alexander D. Wissner-Gross, Noah Weston, Manuel Vindiola:
Adaptive Online Learning for Human-Robot Teaming in Dynamic Environments. 1-4 - Alex Yang, Grant J. Scott:
Efficient Passive Sensing Monocular Relative Depth Estimation. 1-9 - Martin Jaszewski, Shibin Parameswaran:
Exploring Efficient and Tunable Convolutional Blind Image Denoising Networks. 1-9 - Brigid Angelini, Michael R. Crystal, John M. Irvine:
Quantifying Socio-economic Context from Overhead Imagery. 1-4 - Darrell L. Young:
Deep Nets Spotlight Illegal, Unreported, Unregulated (IUU) Fishing. 1-7 - Teena Sharma, Astha Jain, Nishchal K. Verma, Shantaram Vasikarla:
Object Counting using KAZE Features Under Different Lighting Conditions for Inventory Management. 1-7 - Ashish Kumar, Teena Sharma, Nishchal K. Verma, Pradip Sircar, Shantaram Vasikarla:
Detection and Removal of Salt and Pepper Noise by Gaussian Membership Function and Guided Filter. 1-9 - Ke Gao, Shizeng Yao, Hadi Aliakbarpour, Sanjeev Agarwal, Guna Seetharaman, Kannappan Palaniappan:
Sensitivity of Multiview 3D Point Cloud Reconstruction to Compression Quality and Image Feature Detectability. 1-6 - Robert Wagner, Patrick Feeney, Daniel E. Crispell, Joe L. Mundy:
4-D Scene Alignment in Surveillance Video. 1-6 - Sabarish Gopalakrishnan, Premkumar Udaiyar, Shagan Sah, Raymond W. Ptucha:
Multi Stage Common Vector Space for Multimodal Embeddings. 1-5 - Zheng Chen, Malintha Fernando, Lantao Liu:
A Visual Feature based Obstacle Avoidance Method for Autonomous Navigation. 1-7 - Gary Chern, Austen Groener, Michael Harner, Tyler Kuhns, Andy Lam, Stephen O'Neill, Mark D. Pritt:
Globally-scalable Automated Target Recognition (GATR). 1-7 - Oyebisi Layode, Tasmeer Alam, Md Mahmudur Rahman:
Deep Learning Based Integrated Classification and Image Retrieval System for Early Skin Cancer Detection. 1-7 - Rina Bao, Kannappan Palaniappan, Yunxin Zhao, Guna Seetharaman, Wenjun Zeng:
GLSNet: Global and Local Streams Network for 3D Point Cloud Classification. 1-9 - Hussain Khajanchi, Jake Bezold, Matthew Kilcher, Alexander Benasutti, Brian Rentsch, Larry Pearlstein, Skyler Maxwell:
PSIG-GAN: A Parameterized Synthetic Image Generator Optimized via Non-Differentiable GAN. 1-4 - Jonathan Sato, Chelsea Mediavilla, Chris M. Ward, Shibin Parameswaran:
SRC3: A Video Dataset for Evaluating Domain Mismatch. 1-7 - Rumana Aktar, Kannappan Palaniappan, Jeffrey Uhlmann:
A Method for Online Interpolation of Packet-Loss Blocks in Streaming Video. 1-7 - Jonathan Worobey, Shawn Recker, Christiaan P. Gribble:
Using Robust Networks to Inform Lightweight Models in Semi-Supervised Learning for Object Detection. 1-7 - Austen Groener, Gary Chern, Mark D. Pritt:
A Comparison of Deep Learning Object Detection Models for Satellite Imagery. 1-10 - Cindy Gonzales, Wesam A. Sakla:
Semantic Segmentation of Clouds in Satellite Imagery Using Deep Pre-trained U-Nets. 1-7 - Shuyue Guan, Murray H. Loew:
Evaluation of Generative Adversarial Network Performance Based on Direct Analysis of Generated Images. 1-5 - Emily E. Berkson, Jared D. VanCor, Steven Esposito, Gary Chern, Mark D. Pritt:
Synthetic Data Generation to Mitigate the Low/No-Shot Problem in Machine Learning. 1-7 - Manikandan Ravikiran, Shibashish Sen:
Improving Industrial Safety Gear Detection through Re-ID conditioned Detector. 1-10 - Michael Harner, Austen Groener, Mark D. Pritt:
Detecting the Presence of Vehicles and Equipment in SAR Imagery Using Image Texture Features. 1-6 - William Wasswa, Johnes Obungoloch, Annabella Habinka Basaza-Ejiri, J. Andrew Ware:
Automated Segmentation of Nucleus, Cytoplasm and Background of Cervical Cells from Pap-smear Images using a Trainable Pixel Level Classifier. 1-9 - Nina M. Varney, Vijayan K. Asari:
What's the Point? Using Extended Feature Sets For Semantic Segmentation in Point Clouds. 1-9 - Noor M. Al-Shakarji, Filiz Bunyak, Hadi Aliakbarpour, Guna Seetharaman, Kannappan Palaniappan:
Performance Evaluation of Semantic Video Compression using Multi-cue Object Detection. 1-8 - Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew:
Segmentation of Infrared Breast Images Using MultiResUnet Neural Networks. 1-6 - Taher Hajilounezhad, Zakariya A. Oraibi, Ramakrishna Surya, Filiz Bunyak, Matthew R. Maschmann, Prasad Calyam, Kannappan Palaniappan:
Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning. 1-8
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