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Sidike Paheding
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2020 – today
- 2024
- [c20]Sidike Paheding, Abel A. Reyes, A. Rajaneesh, K. S. Sajinkumar, Thomas Oommen:
MarsLS-Net: Martian Landslides Segmentation Network and Benchmark Dataset. WACV 2024: 8221-8230 - [i10]Abhilash Durgam, Sidike Paheding, Vikas Dhiman, Vijay K. Devabhaktuni:
Cross-view geo-localization: a survey. CoRR abs/2406.09722 (2024) - 2023
- [j22]Ashraf Saleem
, Sidike Paheding
, Nathir A. Rawashdeh
, Ali Awad, Navjot Kaur
:
A Non-Reference Evaluation of Underwater Image Enhancement Methods Using a New Underwater Image Dataset. IEEE Access 11: 10412-10428 (2023) - [c19]Abel A. Reyes, Sidike Paheding, A. Rajaneesh, K. S. Sajinkumar, Thomas Oommen:
C-PLES: Contextual Progressive Layer Expansion with Self-attention for Multi-class Landslide Segmentation on Mars using Multimodal Satellite Imagery. CVPR Workshops 2023: 354-364 - [c18]Shahid Nawaz Khan, Maitiniyazi Maimaitijiang, Bruce Millett, Sidike Paheding, Dapeng Li, Melanie Caffé, Péter Kovács:
Simultaneously Estimating Crop Yield and Seed Composition using Multitask Learning from UAV Multispectral Data. IGARSS 2023: 2771-2774 - [c17]Maitiniyazi Maimaitijiang, Bruce Millett, Sidike Paheding, Shahid Nawaz Khan, Kamila Dilmurat, Abel A. Reyes, Péter Kovács:
Estimating Crop Grain Yield and Seed Composition Using Deep Learning from UAV Multispectral Data. IGARSS 2023: 3546-3549 - [i9]Sidike Paheding, Abel A. Reyes Angulo:
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study. CoRR abs/2307.00231 (2023) - [i8]Abel A. Reyes Angulo, Sidike Paheding:
The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study. CoRR abs/2307.00617 (2023) - [i7]Muraleekrishna Gopinathan, Jumana Abu-Khalaf, David Suter, Sidike Paheding, Nathir A. Rawashdeh:
What Is Near?: Room Locality Learning for Enhanced Robot Vision-Language-Navigation in Indoor Living Environments. CoRR abs/2309.05036 (2023) - 2022
- [j21]Yuchen Li
, Jered Pawlak, Joshua Price, Khair Al Shamaileh
, Quamar Niyaz, Paheding Sidike
, Vijay K. Devabhaktuni
:
Jamming Detection and Classification in OFDM-Based UAVs via Feature- and Spectrogram-Tailored Machine Learning. IEEE Access 10: 16859-16870 (2022) - [j20]Jeevan S. Devagiri, Paheding Sidike
, Quamar Niyaz, Xiaoli Yang, Samantha L. Smith:
Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges. Expert Syst. Appl. 207: 118002 (2022) - [j19]Vasit Sagan
, Maitiniyazi Maimaitijiang
, Paheding Sidike
, Sourav Bhadra
, Nichole Gosselin, Maxwell Burnette
, Jeffrey Demieville
, Sean Hartling, David S. LeBauer
, Maria Newcomb
, Duke Pauli
, Kyle T. Peterson
, Nadia Shakoor
, Abby Stylianou
, Charles S. Zender
, Todd C. Mockler
:
Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - [c16]Paheding Sidike, Abel A. Reyes, Anush Kasaragod, Thomas Oommen:
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification. CVPR Workshops 2022: 408-416 - [c15]Abel A. Reyes Angulo, Xiaoli Yang, Quamar Niyaz, Paheding Sidike, Ahmad Y. Javaid:
A Secure Software Engineering Design Framework for Educational Purpose. EIT 2022: 375-381 - [c14]Abel A. Reyes
, Paheding Sidike
, Makarand Deo, Michel A. Audette:
Gabor Filter-Embedded U-Net with Transformer-Based Encoding for Biomedical Image Segmentation. MMMI@MICCAI 2022: 76-88 - [i6]Paheding Sidike, Abel A. Reyes, Anush Kasaragod, Thomas Oommen:
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification. CoRR abs/2204.10099 (2022) - 2021
- [j18]Uzair Khan
, Paheding Sidike
, Colin P. Elkin
, Vijaya Kumar Devabhaktuni
:
Trends in Deep Learning for Medical Hyperspectral Image Analysis. IEEE Access 9: 79534-79548 (2021) - [j17]Nahian Siddique
, Paheding Sidike
, Colin P. Elkin
, Vijay Kumar Devabhaktuni
:
U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications. IEEE Access 9: 82031-82057 (2021) - [j16]Shengli Jiang, Zhuo Xu, Medhavi Kamran, Stas Zinchik, Paheding Sidike, Armando G. McDonald, Ezra Bar-Ziv, Victor M. Zavala:
Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste. Comput. Chem. Eng. 155: 107547 (2021) - [j15]P. C. Srinivasa Rao
, A. J. Sravan Kumar
, Quamar Niyaz, Paheding Sidike, Vijay K. Devabhaktuni:
Binary chemical reaction optimization based feature selection techniques for machine learning classification problems. Expert Syst. Appl. 167: 114169 (2021) - 2020
- [j14]Maitiniyazi Maimaitijiang
, Vasit Sagan
, Paheding Sidike
, Ahmad M. Daloye, Hasanjan Erkbol, Felix B. Fritschi:
Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning. Remote. Sens. 12(9): 1357 (2020) - [j13]Matthew Maimaitiyiming
, Vasit Sagan
, Paheding Sidike
, Maitiniyazi Maimaitijiang
, Allison J. Miller
, Misha T. Kwasniewski
:
Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology. Remote. Sens. 12(19): 3216 (2020) - [c13]Matthew Maimaitiyiming, Maitiniyazi Maimaitijiang, Paheding Sidike, Vasit Sagan, Zoë Migicovsky, Daniel H. Chitwood, Peter Cousins, Nick Dokoozlian
, Allison J. Miller, Misha T. Kwasniewski
:
Modeling Early Indicators of Grapevine Physiology Using Hyperspectral Imaging and Partial Least Squares Regression (PLSR). IGARSS 2020: 1117-1120 - [i5]Nahian Siddique, Paheding Sidike, Colin Elkin, Vijay Kumar Devabhaktuni:
U-Net and its variants for medical image segmentation: theory and applications. CoRR abs/2011.01118 (2020) - [i4]Uzair Khan, Paheding Sidike, Colin Elkin, Vijay Kumar Devabhaktuni:
Trends in deep learning for medical hyperspectral image analysis. CoRR abs/2011.13974 (2020)
2010 – 2019
- 2019
- [j12]Ebrahim Babaeian, Paheding Sidike, Maria Newcomb, Maitiniyazi Maimaitijiang, Scott A. White, Jeffrey Demieville, Richard W. Ward, Morteza Sadeghi, David S. LeBauer
, Scott B. Jones, Vasit Sagan, Markus Tuller
:
A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture. Frontiers Big Data 2: 37 (2019) - [j11]Vasit Sagan
, Maitiniyazi Maimaitijiang
, Paheding Sidike
, Kevin Eblimit, Kyle T. Peterson
, Sean Hartling, Flavio Esposito
, Kapil Khanal, Maria Newcomb, Duke Pauli
, Rick Ward
, Felix B. Fritschi, Nadia Shakoor
, Todd C. Mockler:
UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras. Remote. Sens. 11(3): 330 (2019) - [j10]Matthew Maimaitiyiming
, Vasit Sagan
, Paheding Sidike
, Misha T. Kwasniewski
:
Dual Activation Function-Based Extreme Learning Machine (ELM) for Estimating Grapevine Berry Yield and Quality. Remote. Sens. 11(7): 740 (2019) - [j9]Sean Hartling, Vasit Sagan
, Paheding Sidike
, Maitiniyazi Maimaitijiang
, Joshua Carron:
Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning. Sensors 19(6): 1284 (2019) - 2018
- [j8]Md. Zahangir Alom
, Paheding Sidike
, Mahmudul Hasan, Tarek M. Taha, Vijayan K. Asari:
Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks. Comput. Intell. Neurosci. 2018: 6747098:1-6747098:13 (2018) - [j7]Paheding Sidike
, Vasit Sagan
, Maher B. Qumsiyeh, Maitiniyazi Maimaitijiang, Almabrok E. Essa
, Vijayan K. Asari:
Adaptive Trigonometric Transformation Function With Image Contrast and Color Enhancement: Application to Unmanned Aerial System Imagery. IEEE Geosci. Remote. Sens. Lett. 15(3): 404-408 (2018) - [j6]Kyle T. Peterson
, Vasit Sagan
, Paheding Sidike
, Amanda L. Cox, Megan Martinez:
Suspended Sediment Concentration Estimation from Landsat Imagery along the Lower Missouri and Middle Mississippi Rivers Using an Extreme Learning Machine. Remote. Sens. 10(10): 1503 (2018) - [c12]Maxwell Burnette
, Rob Kooper, J. D. Maloney, Gareth S. Rohde, Jeffrey A. Terstriep, Craig Willis
, Noah Fahlgren
, Todd C. Mockler, Maria Newcomb, Vasit Sagan, Pedro Andrade-Sanchez, Nadia Shakoor, Paheding Sidike, Rick Ward
, David S. LeBauer
:
TERRA-REF Data Processing Infrastructure. PEARC 2018: 27:1-27:7 - [i3]Md. Zahangir Alom, Tarek M. Taha, Christopher Yakopcic, Stefan Westberg, Paheding Sidike, Mst Shamima Nasrin, Brian C. Van Essen, Abdul A. S. Awwal, Vijayan K. Asari:
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches. CoRR abs/1803.01164 (2018) - 2017
- [j5]Almabrok E. Essa
, Paheding Sidike, Vijayan K. Asari:
Volumetric Directional Pattern for Spatial Feature Extraction in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 14(7): 1056-1060 (2017) - [j4]Md. Zahangir Alom, Paheding Sidike, Tarek M. Taha, Vijayan K. Asari:
State Preserving Extreme Learning Machine: A Monotonically Increasing Learning Approach. Neural Process. Lett. 45(2): 703-725 (2017) - [j3]Paheding Sidike, Evan Krieger, Md. Zahangir Alom, Vijayan K. Asari, Tarek M. Taha:
A fast single-image super-resolution via directional edge-guided regularized extreme learning regression. Signal Image Video Process. 11(5): 961-968 (2017) - [i2]Md. Zahangir Alom, Paheding Sidike, Tarek M. Taha, Vijayan K. Asari:
Handwritten Bangla Digit Recognition Using Deep Learning. CoRR abs/1705.02680 (2017) - [i1]Md. Zahangir Alom, Paheding Sidike, Mahmudul Hasan, Tarek M. Taha, Vijayan K. Asari:
Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks. CoRR abs/1712.09872 (2017) - 2016
- [j2]Paheding Sidike
, Vijayan K. Asari, Mohammad S. Alam:
Multiclass Object Detection With Single Query in Hyperspectral Imagery Using Class-Associative Spectral Fringe-Adjusted Joint Transform Correlation. IEEE Trans. Geosci. Remote. Sens. 54(2): 1196-1208 (2016) - [c11]Evan Krieger, Almabrok E. Essa, Paheding Sidike
, Theus H. Aspiras, Vijayan K. Asari:
Boosted ringlet features for robust object tracking. AIPR 2016: 1-7 - [c10]Paheding Sidike, Md. Zahangir Alom, Vijayan K. Asari, Tarek M. Taha:
Non-regularized State Preserving Extreme Learning Machine for Natural Scene Classification. CVIP (1) 2016: 409-418 - [c9]Almabrok Essa, Paheding Sidike, Vijayan K. Asari:
Real Time Automated Machinery Threat Detection and Identification System for Pipeline Infrastructure Protection. IMAWM 2016: 1-5 - [c8]Paheding Sidike, Daniel Prince, Almabrok E. Essa, Vijayan K. Asari:
Automatic building change detection through adaptive local textural features and sequential background removal. IGARSS 2016: 2857-2860 - [c7]Paheding Sidike, Chen Chen, Vijayan K. Asari, Yan Xu, Wei Li:
Classification of hyperspectral image using multiscale spatial texture features. WHISPERS 2016: 1-4 - 2015
- [j1]Almabrok E. Essa, Paheding Sidike, Vijayan K. Asari:
Efficient Key Frame Selection Approach for Object Detection in Wide Area Surveillance Applications. Int. J. Monit. Surveillance Technol. Res. 3(2): 20-34 (2015) - [c6]Vijayan K. Asari, Sidike Paheding, Chen Cui, Varun Santhaseelan:
Recent progress in wide-area surveillance: protecting our pipeline infrastructure. IMAWM 2015: 940802 - [c5]Paheding Sidike, Vijayan K. Asari, Mohammad S. Alam:
Multiple object detection in hyperspectral imagery using spectral fringe-adjusted joint transform correlator. Image Processing: Machine Vision Applications 2015: 940502 - [c4]Evan Krieger, Paheding Sidike
, Theus H. Aspiras, Vijayan K. Asari:
Directional ringlet intensity feature transform for tracking. ICIP 2015: 3871-3875 - [c3]Md. Zahangir Alom, Paheding Sidike, Vijayan K. Asari, Tarek M. Taha:
State Preserving Extreme Learning Machine for face recognition. IJCNN 2015: 1-7 - 2014
- [c2]Fatema A. Albalooshi
, Sara Smith, Yakov Diskin, Paheding Sidike, Vijayan K. Asari:
Automatic segmentation of carcinoma in radiographs. AIPR 2014: 1-6 - [c1]Paheding Sidike, Vijayan K. Asari, Mohammad S. Alam:
Illumination-invariant pattern recognition using fringe-adjusted joint transform correlator and monogenic signal. Image Processing: Machine Vision Applications 2014: 90240C
Coauthor Index
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last updated on 2024-07-25 20:19 CEST by the dblp team
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