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52nd AIPR 2023: St. Louis, MO, USA
- 52nd IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023, St. Louis, MO, USA, September 27-29, 2023. IEEE 2023, ISBN 979-8-3503-5952-7
- Ademola Adesokan, Sanjay Madria, Long Nguyen:
TweetACE: A Fine-grained Classification of Disaster Tweets using Transformer Model. 1-9 - Md. Hasibur Rahman, Sanjay Madria:
An Augmented Dataset for Vision-based Unmanned Aerial Vehicles Detection and Tracking. 1-8 - Marc-Antoine Drouin, Marc-André Rainville, Michel Picard, Terrence C. Stewart, Frank Billy Djupkep Dizeu, Guillaume Gagné:
Synthetic Dataset for Quadcopter Detection Based on Frequency Propeller Signature. 1-6 - Koundinya Challa, Issa W. AlHmoud
, A. K. M. Kamrul Islam, Balakrishna Gokaraju, Raymond C. Tesiero:
Integrated Approach for Heat Envelope Identification and Energy Efficiency Analysis in Buildings Using Drone Thermal Imagery and Deep Learning Techniques. 1-4 - Jack Akers, Andrew R. Buck, Derek Anderson, James Keller, Raub Camaioni, Matthew Deardorff, Robert H. Luke III:
Improving Real-Time Aerial 3D Reconstruction: Towards Fusion of a Hand-Crafted SfM Algorithm with a Data-Driven Deep Neural Network. 1-8 - Sai Shreyas Bhavanasi, Abby Stylianou:
Hotel Recognition Using Object Ensembles. 1-8 - Shuyue Guan, Murray H. Loew:
The training accuracy of two-layer neural networks: its estimation and understanding using random datasets. 1-9 - Kiran Neupane, Ananya Hans, Ahhyun Lee, Robby Criswell, Kannappan Palaniappan, Ye Duan, Prasad Calyam:
Experiences with a Virtual Reality System for Immersive Decision Making and Learning. 1-11 - H. V. R. Bindela, K. C. Yedubati, R. R. Gosula, E. Snir, Bahareh Rahmani:
Heart Failure Prediction Using Artificial Intelligence Methods. 1-4 - Minasadat Attari, Nguyen P. Nguyen, Kannappan Palaniappan, Filiz Bunyak:
Multi-Loss Topology-Aware Deep Learning Network for Segmentation of Vessels in Microscopy Images. 1-7 - Nathan Farmer, Arash Mahyari, Ashok Sirinivasan:
Deep Generative Models for Constructing Synthetic Populations in Public Health Applications. i-v - Ahmad Alhonainy, Praveen Rao:
Evaluation of Federated Learning Techniques on Edge Devices Using Synthetic Medical Imaging Datasets. 1-6 - Landon G. Swartz, Suxing Liu, David Mendoza Cozatl, Kannappan Palaniappan:
Segmentation of Arabidopsis thaliana Using Segment-Anything. 1-5 - Kenneth Hydock, Andrea Elliott, Mike Busch, Lauren Lipchak, Daniel Blair, John Chapman:
Generation of Synthetic Data for Medical Decision Support Applications. 1-7 - Ganesh Sapkota, Sanjay Madria:
Landmark Stereo Dataset for Landmark Recognition and Moving Node Localization in a Non-GPS Battlefield Environment. 1-11 - Jared Taylor, Paul A. Brown, John M. Irvine:
Quantifying Image Quality Effects On Automatic Target Detection In Sar Imagery. 1-7 - Gani Rahmon, Imad Eddine Toubal, D. D. W. Cornelison, Kannappan Palaniappan:
Marker and Motion Guided Deep Networks for Cell Segmentation and Detection Using Weakly Supervised Microscopy Data. 1-12 - Miles Cobb, Matthew D. Reisman, Paul Killam, Gawan Fiore, Raasin Siddiq, Danny Giap, Gary Chern:
Wide-Area Motion Imagery Vehicle Detection in Adverse Conditions. 1-6 - Dirk Colbry
Toward an automatic exploration of algorithm space to speed up image annotation for applications in scientific image understanding. 1-6 - Che Bin Foo, Lauren Ann Christopher:
Subclass Feature Evaluation of Latent Diffusion Model. 1-5 - V. Chandrakanth, Shivpal Singh, Sumohana S. Channappayya, Kannappan Palaniappan:
Priority Scheduling Using Recurrent Quadrant Search for Handling Priority and 'Pop-Up' Targets in Aerial Videos. 1-11 - Dhruv Agarwal, Taci Kucukpinar, Joshua Fraser, Jeffrey Kerley, Andrew R. Buck, Derek T. Anderson, Kannappan Palaniappan:
Simulating City-Scale Aerial Data Collection Using Unreal Engine. 1-9 - Andrew R. Buck, Jack Akers, Derek T. Anderson, James M. Keller, Raub Camaioni, Matthew Deardorff, Robert H. Luke III:
Frame Selection Strategies for Real-Time Structure-from-Motion from an Aerial Platform. 1-8 - J. Alex Hurt, Trevor M. Bajkowski, Curt H. Davis, Grant J. Scott:
Overhead Object Detection with Channel Attention for High-Resolution Multi-Spectral Satellite Imagery and DMP-extracted Shape Features. 1-8 - RyeAnne Ricker, Yin-Ting Yeh, Maria Chiara Monaco, Anita Fletcher, Steven Jacobson, Murray H. Loew, Elodie Ghedin:
Surface-enhanced Raman spectroscopy for the identification of a non-enveloped virus. 1-4 - Dylan Callaghan Chapell, Edward Ruien Shang, Taci Kucukpinar, Joshua Fraser, Jaired Collins, Vasit Sagan, Prasad Calyam, Kannappan Palaniappan:
NeRF-based 3D Reconstruction and Orthographic Novel View Synthesis Experiments Using City-Scale Aerial Images. 1-7 - Koundinya Challa, Issa W. AlHmoud
EMG-Based Hand Gesture Recognition Using Individual Sensors on Different Muscle Groups. 1-4 - Matthew Lee, Clayton A. Harper, William Flinchbaugh, Eric C. Larson, Mitchell A. Thornton:
Impacts of Synthetically Generated Data on Trackformer-based Multi-Object Tracking. 1-7 - Ashley Dale, Lauren A. Christopher, William Reindl, Edwin Sanchez, Sam Brunes, Will Bickel, Jasmine Martin, Albert William:
All patched up: effective integration of real and synthetic features into a single image for object detection. 1-7 - Steven A. Israel, John M. Irvine:
Images, Pre-trained Networks, and Information. 1-4 - Andrew Kalukin:
Applications of Deep Learning Neural Networks for Classifying Mesoamerican Historical Art Objects and Documents. 1-6 - Prashanth Reddy Kotha, Minasadat Attari, Matthew R. Maschmann, Filiz Bunyak:
Deep Style Transfer for Generation of Photo-realistic Synthetic Images of CNT Forests. 1-7 - Prasad Calyam, Mayank Kejriwal, Praveen Rao, Jianlin Cheng, Weichao Wang, Linquan Bai, V. Sriram Siddhardh Nadendla, Sanjay Madria, Sajal K. Das, Rohit Chadha, Khaza Anuarul Hoque, Kannappan Palaniappan, Kiran Neupane, Roshan Lal Neupane, Sankeerth Gandhari, Mukesh Singhal, Lotfi Ben Othmane, Meng Yu
Towards a Domain-Agnostic Knowledge Graph-as-a-Service Infrastructure for Active Cyber Defense with Intelligent Agents. 1-8 - Timothy B. Gaines, J. Alex Hurt, James M. Keller, Grant J. Scott, Camden I. Boyle, Matthew R. Maschmann, Stanton R. Price:
Towards Automated Nanoenergetic Reaction Characterization with Computational Vision. 1-5 - Manal Sultan, Lia Jacobs, Abby Stylianou, Robert Pless:
Exploring CLIP for Real World, Text-based Image Retrieval. 1-6 - Kaveh Safavigerdini, Ramakrishna Surya, Andrew Reinhard, Zach Quinlan, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan:
Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN. 1-6 - Yu Li, Rana Das, Cuong Duong
Automated Detection of Poultry Farms from Aerial Images for Actionable AI System toward Biosecurity Applications. 1-4 - Elham Soltanikazemi, Ashwin Dhakal, Bijaya Kumar Hatuwal
Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5. i-x - Enrico Visconti, Derek T. Anderson, Jeffrey Kerley:
Fuzzy Database for Language-Driven Procedurally Generated Simulated Datasets. 1-11 - Joshua Sylvester, Matthew Lee, Daniel Canon Ellis, Mitchell A. Thornton, Eric C. Larson:
Using Time Series Clustering to Inform Multimodal CNN Architectures. 1-8 - Brendan Young, Derek T. Anderson, James M. Keller, Fred Petry, Chris J. Michael:
Generative Neural Net for Spatial Concept-to-Image. 1-7 - Arash Mahyari, Hadi Aliakbarpour:
Deep Image Clustering by Spiking Neural Networks. 1-4 - Kevin Wells, Felipe A. Lopes, Vasit Sagan, Flavio Esposito:
A multifaceted benchmarking of GAN architectures on generating synthetic satellite imagery. 1-7 - Andrew Romitti, Jiya Shetty, Praveen Rao:
Evaluating the Effectiveness of Synthetic Datasets for Dementia Diagnosis Using Deep Learning. 1-5 - Michael Lanier, Aayush Dhakal, Zhexiao Xiong, Arthur Li, Nathan Jacobs, Yevgeniy Vorobeychik:
Eroding Trust in Aerial Imagery: Comprehensive Analysis and Evaluation of Adversarial Attacks in Geospatial Systems. 1-13 - Bhuvanashree Murugadoss, Joseph Amudha, Vijayan Sugumaran:
DE-ConvGraph 3D UNet: A Novel Deep Learning Model for Optimizing Radiotherapy Treatment Plans in Oropharyngeal Cancer. 1-5 - Nicholas Dewberry, Issa W. AlHmoud
Problems and Solutions of Point Cloud Mapping for VR and CAVE Environments for Data Visualization and Physics Simulation. 1-7
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