The Ohio State University: College of Engineering

Publications

2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2009, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999

2024

  1. S. Perera and A. Yilmaz. September 2024. MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation. ECCV-W on BioImage Computing. Milan Italy.
  2. S. Zobar; M. Ciydem; O. Durna; J. Kwag; C. Toth and A. Yilmaz. June 2024. Design of a 2D/3D Positioning System and Its Real-Time Application with Low-Cost Sensors. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3413577
  3. S. Perera, P. BoreshNavard, A. Yilmaz. June 2024. SegFormer3D: an Efficient Hierarchical Transformer for Volumetric Medical Image Segmentation. IEEE CVPR/W on Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis (DEF-AI-MIA). (Github Code)
  4. P. BoreshNavard, S. Perera, S. Adhikari, A. Yilmaz. August 2024. ULTRA-EYE: Automated Ultrasound Technology for Retinal Detachment Assessment. Military Health System Research Symposium (MHSRS). Kissimmee, FL.
  5. M. Kaur, S Trovato, L. Fussner, C. Liscynesky, R. Xu, B. Zha, A. Yilmaz, B.H. Kaffenberger June 2024. SARS-COV-2-19 Diagnosis Through Integration of Thermal Video and Patient Data. Academic Dermatology. (in print)
  6. K. Menguc and A. Yilmaz. March 2024. Improving Model Performance of Shortest-Path-Based Centrality Measures in Network Models through Scale Space. Concurrency and Computation: Practice and Experience https://doi.org/10.1002/cpe.8082 (in print)
  7. C. McGuffey, R. Sai Ganesh, D. Gulati and A. Yilmaz. February 2024. Autonomous Stroke Scale Score Using Artificial Intelligence/Machine Learning. International Stroke Conference. Phoenix Arizona.
  8. C. McGuffey, D. Gulati and A. Yilmaz. February 2024. Automated Detection of Facial Droop: ML/AI Based Tool for Early Detection of Stroke. International Stroke Conference 2024. Phoenix Arizona.
  9. Q. Li, Y. Zhuang, J. Huai, Y. Chen, and A. Yilmaz. January 2024. An efficient point cloud place recognition approach based on transformer in dynamic environment. ISPRS Journal of Photogrammetry and Remote Sensing. Volume 207, Pages 14-26. https://doi.org/10.1016/j.isprsjprs.2023.11.013

2023

  1. Y. Bai, A. Demir, A. Yilmaz, and H. Sezen. October 2023. Assessment and Monitoring of Bridges Using Various Camera Placements and Structural Analysis. Journal of Civil Structural Health Monitoring. https://doi.org/10.1007/s13349-023-00720-6
  2. Y. Bai, H Sezen, A. Yilmaz, R. Qin. November 2023. Bridge Vibration Measurements Using Different Camera Placements and Techniques of Computer Vision and Deep Learning. Springer Journal of Advances in Bridge Engineering. 4, Article 25. https://doi.org/10.1186/s43251-023-00105-1
  3. S. Zobar, O. Salor, M. Cigdem, C. Toth and A. Yilmaz. November 2023. HASAP: Heading-Aided Single-Anchor Positioning via Hidden Markov Model Map-Matching. IEEE Symposium Sensor Data Fusion and Int. Conf. on Multi-Sensor Fusion and Integration.
  4. G. Turkmen, A. Yilmaz, and T. Aldemir. November 2023. Machine Learning Based Dynamic Probabilistic Risk Assessment for Multi-Unit Small Modular Reactors. NEA International Workshop on Dynamic PSA and its Role in Risk-Informed Decision-Making, NRC, Rockville, MD
  5. A. Yusefi; A. Durdu; A. Yilmaz; C. Sungur; F. Bozkaya; S. Tığlıoğlu; V. Alver. September 2023. A Generalizable D-VIO and Its Fusion with GNSS/IMU for Improved Autonomous Vehicle Localization. IEEE Transactions on Intelligent Vehicles.  https://doi.org/10.1109/TIV.2023.3316361
  6. M. Karnes and A. Yilmaz. October 2023. Omni-Modeler: Rapid Adaptive Visual Recognition with Dynamic Learning.  Signal & Image Processing: An International Journal.Volume 14, Number 4/5
  7. J. Wei and A. Yilmaz. September 2023. A Visual Odometry Pipeline for Real-Time UAS Geopositioning. Drones Journal Special Issue on Advances in AI for Intelligent Autonomous Systems. https://doi.org/10.3390/drones7090569
  8. A. Yilmaz, N. Ajam-Gard, JH. Lee, T. Aldemir and R. Denning, Systems and methods for real-time data processing and for emergency planning, US Patent US11720091B2
  9. B. Zha and A. Yilmaz. May 2023. Subgraph Learning for Topological Geolocalization with Graph Neural Networks. Sensors Journal. 23(11), 5098, https://doi.org/10.3390/s23115098
  10. K. Menguc, N. Aydin and A. Yilmaz. June 2023. A Data-Driven Approach to Forecasting Traffic Speed Classes Using Extreme Gradient Boosting Algorithm and Graph Theory. Physica A: Statistical Mechanics and its Applications, Vol. 620. https://doi.org/10.1016/j.physa.2023.128738
  11. Y. Zhuang, A. Yilmaz, J. Huai, C. Zhang, Y. Shao, B. Wang, J. Tang. April 2023. Automated Rolling Shutter Calibration with an LED Panel. Optics Letters. Vol. 48, Issue 4, pp. 847-850. https://doi.org/10.1364/OL.474375

2022

  1. Yusefi, A. Durdu and A. Yilmaz. November 2022. HVIOnet: A Deep Learning Based Hybrid Visual-Inertial Odometry Approach for Unmanned Aerial System Position Estimation, Journal of Neural Networks. Vol. 155, Pages 461-474
  2. M. Karnes and A. Yilmaz. March 2022. Network Comparison Study of Deep Activation Feature Discriminability with Novel Objects. arXiv:2202.03695 [cs.CV]
  3. H. Rodriguez Avellaneda, A. Yilmaz and A. Shafieehzadeh. September 2022. How important are socioeconomic factors for hurricane performance of power systems? An analysis of disparities through machine learning. IEEE International Conference On Power System Technology. Kuala Lumpur, Malaysia
  4. Y. Han, J. Wei, A. Yilmaz. October 2022. UAS Navigation in the Real World Using Visual Observation. IEEE Sensors Conference. Dallas Texas.
  5. J. Wei, A. Yilmaz. October 2022. A GIS Aided Approach for Geolocalizing an Unmanned Aerial System Using Deep Learning. IEEE Sensors Conference. Dallas Texas.
  6. G. Turkmen, A. Yilmaz, T. Aldemir. August 2022. Deep Transformer Network for Prediction of the Nuclear Power Plant Accident Progression. 32nd European Safety and Reliability Conference (ESREL). Dublin, Ireland
  7. Y. Han, A. Yilmaz. August 2022. Learning to Drive Using Sparse Imitation Reinforcement Learning. International Conference on Pattern Recognition. Montreal, Canada.
  8. J. Xing, P. Liu, P. Tang, A. Yilmaz, R. Boring, G. Gibson. July 2022. Analyzing Operation Logs of Nuclear Power Plants for Safety and Efficiency Diagnosis of Real-Time Operations. Aarhus, Denmark.
  9. Y. Bai, B. Zha, H. Sezen and A. Yilmaz. February 2022. Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events. Structural Health Monitoring Journal. https://doi.org/10.1177/14759217221083649
  10. G. Sarici-Turkmen, A. Yilmaz and T. Aldemir. July 2022. Use Of Machine Learning Techniques to Reduce The Computational Effort For Dynamic Probabilistic Risk Assessment. Probabilistic Safety Assessment and Management (PSAM). Honolulu HI
  11. J. Wei, S. Perera, A. Yilmaz. March 2022. Integrating Maps and Images for GPS-Denied UAV Geolocalization. ASPRS Annual Conference. Virtual Event
  12. Y. Han, S. Perera, A. Yilmaz. March 2022. Collaborative Navigation of Unmanned Ground Vehicles via Reinforcement Learning. Virtual Event
  13. P. Boreshnavard, S. Perera, P. Tang, and A. Yilmaz. March 2022. Dynamic Indoor Worker Navigation for Nuclear Power Plants. ASPRS Annual Conference. Virtual Event
  14. S. Kochanek, J. Xing, A. Yilmaz, G. Gibson, P. Tang. July 2022. Using Computer Vision to Reduce Errors of Operating on the Wrong Control Valves in Nuclear Power Plants. Applied Human Factors and Ergonomics Conference, New York City, NY. Vol. 54 pp. 23-32
  15. J. Xing, P. Tang, A. Yilmaz, R.L. Boring, G.E. Gibson. February 2022. Monitoring Defects in Attention Allocations of Nuclear Power Plant Operators through Knowledge Representation. ASCE Lifelines conference. Los Angeles, CA.

2021

  1. J. Wei, G. Xu, and A. Yilmaz. October 2021. DeepTracks: Geopositioning Maritime Vehicles in Video Acquired from a Moving Platform. IEEE Sensors Conference.
  2. Y. Bai, M. Ramzi, H. Sezen and A. Yilmaz. October 2021. Automatic Displacement and Vibration Measurement in Laboratory Experiments with a Deep Learning Method. IEEE Sensors Conference.
  3. G. Yao, A. Yilmaz, F. Meng, Z. Li. September 2021. Review of Wide-baseline Stereo Image Matching Based on Deep Learning. Remote Sensing Journal. 13(16), 3247; https://doi.org/10.3390/rs13163247
  4. M. Karnes, S. Perera, A. Yilmaz. October 2021. Adaptive Few-Shot Learning POC Ultrasound COVID-19 Diagnostic System. IEEE Biomedical Circuits and Systems Conference. Berlin, Germany.
  5. S.Perera, D. Gulati, A. Yilmaz. October 2021. Autodetection of Subtypes of Intracranial Hemorrhage. 13th World Stroke Congress.
  6. S. Perera, K. Potter, S. Sleder, M. Smith, J. Tencer, A. Yilmaz. October 2021. Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks. ICCV Workshop on When Graph Signal Processing meets Computer Vision. Montreal, Canada.
  7. N. Xua, D. Huanga, S. Songa, X. Linga, C. Strasbaugh, A. Yilmaz, H. Sezen and R. Qin. July 2021. A volumetric change detection framework using drone-based oblique photogrammetry – A case study of ultra-high-resolution monitoring of progressive building collapse. International Journal of Digital Earth. DOI: 10.1080/17538947.2021.1966527
  8. M.A. Eltejani; A. Durdu; S. Celtek, A. Yilmaz. September 2021. An Adaptive Method for Traffic Signal Control Based on Fuzzy Logic with Webster and Modified Webster Formula Using SUMO Traffic Simulator. IEEE Access, Vol. 9, pp. 102985-102997, https://doi.org/10.1109/ACCESS.2021.3094270
  9. S. Perera, S. Adhikari and A. Yilmaz. September 2021. POCFormer: A Lightweight Transfomer Architecture For Detection Of Covid-19 Using Point Of Care Ultrasound. IEEE International Conference on Image Processing. Anchorage, Alaska.
  10. Y. Han, A. Yilmaz. July 2021. Dynamic routing for navigation in changing unknown maps using deep reinforcement learning. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 145–150, https://doi.org/10.5194/isprs-annals-V-1-2021-145-2021, 2021.
  11. Y. Bai, H. Sezen, A. Yilmaz. July 2021. Detecting Cracks and Spalling Automatically in Extreme Events by End-to-end Deep Learning Frameworks. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 161–168, https://doi.org/10.5194/isprs-annals-V-2-2021-161-2021, 2021.
  12. J. Wei, J. Jiang, A. Yilmaz. July 2021. MOHE-Net: Monocular object height estimation network using deep learning and scene geometry. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. Nice, France.
  13. J. Wei, J. Jiang, A. Yilmaz. July 2021. MBS-Net: a moving-camera background subtraction network for autonomous driving. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. Nice, France.
  14. Xing, Z. Sun, P. Tang, R.L. Boring, A. Yilmaz, G.E. Gibson. June 2021. Prognostics of Operational Failures Based on Pattern Mining of Operators’ Eye Movement during Nuclear Power Plant Operations. ANS Annual Meeting. Virtual
  15. B. Zha, T. Aldemir and. A. Yilmaz. August 2021. Deep Transformer Network for Time Series Classification: The NPP Safety Case. 2021 International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA 2021), Columbus OH.
  16. G. Yao, A. Yilmaz, L. Zhang, F. Meng, H. Ai, F. Jin. February 2021. Matching Large Baseline Oblique Stereo Images Using an End-to-End Convolutional Neural Network. Remote Sensing Journal. Vol. 13, No: 2, pp 274. https://doi.org/10.3390/rs13020274
  17. B. Zha and A. Yilmaz. January 2021. Map-Based Temporally Consistent Geolocalization through Learning Motion Trajectories. International Conf. on Computer Vision (ICPR). Milan Italy
  18. Y. Bai, H. Sezen and A. Yilmaz. January 2021. End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales. International Conf. on Computer Vision (ICPR). Milan Italy
  19. N. Gard and A. Yilmaz. January 2021. A Spacetime Model for One-shot Active Contour Extraction Scheme for Human Detection in Image Sequences. Computer Vision and Image Understanding Journal. Vol. 202, https://doi.org/10.1016/j.cviu.2020.103113

2020

  1. J. Li, A. Yilmaz, R. Denning and T. Aldemir. October 2020. An Online Operator Support Tool for Severe Accident Management in Nuclear Power Plants Using Dynamic Event Trees and Deep Learning. Annals of Nuclear Energy. Vol. 146 http://doi.org/10.1016/j.anucene.2020.107626
  2. Z. Sun, C. Zhang, J. Chen, P. Tang, and A. Yilmaz. September 2020. Predictive Nuclear Power Plant Outage Control through Computer Vision and Data Driven Simulation. Progress in Nuclear Energy. Vol. 127. http://doi.org/10.1016/j.pnucene.2020.103448
  3. B. Zha and A. Yilmaz. August 2020. Learning Maps for Object Localization using Visual-Inertial Odometry. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 343–350. Nice, France. https://doi.org/10.5194/isprs-annals-V-1-2020-343-2020
  4. Y. Bai, B. Zha, H. Sezen and A. Yilmaz. August 2020. Deep cascaded neural networks for automatic detection of structural damage and cracks from images. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 411–417, Nice, France. https://doi.org/10.5194/isprs-annals-V-2-2020-411-2020
  5. M. Yang, Y. Lyu; G. Vosselman; G.S. Xia; A. Yilmaz. July 2020. UAVid: A Semantic Segmentation Dataset for UAV Imagery. ISPRS Journal of Photogrammetry and Remote Sensing. Volume 165, Pages 108-119. https://doi.org/10.1016/j.isprsjprs.2020.05.009
  6. R. Xu and A. Yilmaz. April 2020. A wearable augmented reality navigation system for surgical telementoring based on Microsoft HoloLens. Annals of Biomedical Engineering. https://doi.org/10.1007/s10439-020-02538-5

2019

  1. B. Zha, M. T. Koroglu and A. Yilmaz. Trajectory Mining for Localization using Recurrent Neural Network. December Int. Conf. on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, pp. 1-4.
  2. J. Huai, Y. Zhang and A. Yilmaz. The Mobile AR Sensor Logger for Android and IOS Devices. IEEE SENSORS, Montreal,Canada, 2019, pp. 1-4. GitHub Source Code
  3. J. Wei, M. T. Koroglu, B. Zha and A. Yilmaz. Pedestrian localization on topological maps with neural machine translation network. IEEE SENSORS, Montreal, Canada, 2019, pp. 1-4.
  4. M. T. Koroglu, M. Korkmaz, A. Yilmaz and A. Durdu. Multiple hypothesis testing approach to pedestrian inertial navigation. IEEE Indoor Positioning Indoor Navigation Conference (IPIN), Pisa, Italy, 2019, pp. 1-8.
  5. Z. Koppanyi, D. Iwaszczuk, B. Zha, C. Saul, C. Toth and A. Yilmaz. August 2019. Multi-Modal Semantic Segmentation: Fusion of RGB and Depth Data in Convolutional Neural Networks. In Multi-Modal Scene Understanding. Edited by Bodo, M. Yang and Vittorio. Elsevier. https://doi.org/10.1016/B978-0-12-817358-9.00009-3
  6. J. Wan, A. Yilmaz and L. Yan. October 2019. PPD: Pyramid Patch Descriptor via Convolutional Neural Network. Photogrammetric Engineering and Remote Sensing. Volume 85, Number 9, September 2019, pp. 673-686. https://doi.org/10.14358/PERS.85.9.673
  7. A. Durdu, A. Erkmen and A. Yilmaz. March 2019. Reshaping human intention in Human-Robot Interactions by robot moves. Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems, Special Issue on Social Cues in Robot Interaction, Trust and Acceptance. Vol: 20:3, pp. 534–564. ISSN 1572-0373.
  8. C. Saul, E. Sahin, E. Ozsarfati and A. Yilmaz. 2/2019. Book Genre Classification Based on Titles with Machine Learning Algorithms. International Conference on Advances in Computer, Communication Systems. Singapore. https://doi.org/10.1109/CCOMS.2019.8821643
  9. J. Hu, W. Song, W. Zhang, Y. Zhao and A. Yilmaz. March 2019. Deep learning using in lumber classification tasks. Journal of Wood Science and Technology. Springer. Volume 53, Issue 2, pp 505–517 https://doi.org/10.1007/s00226-019-01086-z
  10. B. Zha, A. Yilmaz, T. Aldemir. 11/2019. Off-site Dose Prediction for Decision Making Using Recurrent Neural Networks. 2019 ANS Winter Meeting. Washington DC.
  11. B. Zha. M. Bai, H. Sezen and A. Yilmaz. 09/2019. Deep Convolutional Neural Networks For Classification In Comprehensive Structural Health Monitoring. 12th International Workshop on Structural Health Monitoring. San Jose, CA.

2018

  1. C. Saul, E. Sahin, E. Ozsarfati and A. Yilmaz. 11/2018. Abalone Life Phase Classification with Deep Learning. International Conference on Soft Computing and Machine Intelligence. Nairobi, Kenya. https://doi.org/10.1109/ISCMI.2018.8703232
  2. M. T. Koroglu, A. Yilmaz and C. J. Saul. A Deep Learning Strategy for Stride Detection. 2018 IEEE SENSORS, New Delhi, 2018, pp. 1-4.
  3. M. T. Koroglu and A. Yilmaz. Pedestrian inertial navigation via non-recursive Bayesian map-matching. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, 2018, pp. 1909-1914.
  4. J. Lee, T. Aldemir, A. Yilmaz and R. Denning. 09/2018. Development of an Online Operator Tool to Support Real-Time Emergency Planning Based on the Use of Dynamic Event Trees and Deep Learning. Probabilistic Safety Assessment and Management (PSAM). Los Angeles California.
  5. N. Gard, J. Chen, P. Tang and Yilmaz. 10/2018. Deep Learning and Anthropometric Plane Based Workflow Monitoring by Detecting and Tracking Workers. ISPRS TC 1 Symposium on Innovative Sensing – From Sensors to Methods and Applications. Karlsruhe, Germany.
  6. D. Iwaszczuk, Z. Koppanyi, N. A. Gard, B. Zha, C. Toth, A. Yilmaz. 10/2018. Semantic Labeling of Structural Elements in Buildings by Fusing RGB and Depth Images in an Encoder-Decoder CNN Framework. ISPRS TCI Midterm Symposium on Innovative Sensing – From Sensors to Methods and Applications. Karlsruhe, Germany
  7. Ashish Gupta and Alper Yilmaz. 2018. Social Network Inference in Videos. in Signal Processing, Volume 6 on Image and Video Processing and Analysis and Computer Vision, Chapter 11, pages 395-424, Elsevier. https://doi.org/10.1016/B978-0-12-811889-4.00011-7
  8. A. Rosenbaum, R. Smith, E. Hade, A. Gupta, A. Yilmaz and M. Cackovic. 2018. Use and Experiences with External Fetal Monitoring Devices Among Obstetrical Providers. Journal of Maternal-Fetal & Neonatal Medicine https://doi.org/10.1080/14767058.2018.1548604
  9. J.H. Lee, A. Yilmaz, R. Denning, T. Aldemir. November 2018. Use of dynamic event trees and deep learning for real-time emergency planning in power plant operation. Nuclear Technology Journal, Special Issue on Big Data Analytics for Nuclear Power. https://doi.org/10.1080/00295450.2018.1541394
  10. O Nina, W Garcia, S Clouse, A Yilmaz. 2018. MTLE: A Multitask Learning Encoder of Visual Feature Representations for Video and Movie Description. arXiv preprint arXiv:1809.07257 (none peer reviewed) Github Source Code
  11. J. Wan, A. Yilmaz, L. Yan. December 2018. DCF-BoW: Build Match Graph Using Bag of Deep Convolutional Features for Structure from Motion. IEEE Geoscience and Remote Sensing Letters. Vol. 15, No: 12, pp. 1847-1852. https://doi.org/10.1109/LGRS.2018.2864116
  12. J. Wan and A. Yilmaz. June 2018. DCF: A method for creating image relation table using a deep convolutional network. Acta Geodaetica et Cartographica Sinica (AGCS) Machine Vision Special Issue. Vol. 47. No 6. pp. 882-891.
  13. E. Sahin, C. Saul and A. Yilmaz. 12/2018. Poker Hand Strength Classification Using Deep Learning Architectures. International Conference on Engineering and Technology. Sri Lanka.
  14. O. Nina, W. Garcia, S. Clause and A. Yilmaz. 12/ 2018. A Multitask Learning Encoder-Decoders Framework for Generating Movie and Video Captioning. Neural Information Processing Systems Workshop on AI for Social Good. Montreal, Canada.
  15. P. Liu, C. Xiao, A. Yilmaz, Z. Zhang, P. Shao, I. Valerio, E. Martin, C. Sen, R. Xu. 08/2018. Interactive telementoring for prehospital trauma care. Military Health System Symposium.
  16. A. Rosenbaum, E. Cackovic, E. Hade, A. Yilmaz, R. Smith, A. Gupta. October 2018. Use and Experiences with External Fetal Monitoring Devices Among Obstetrical Providers. XXII World Congress of Gynecology and obstetrics. Rio de Janeiro
  17. A. Rosenbaum, Rachel M Smith, Erinn M Hade, Ashish Gupta, Alper Yilmaz, Michael Cackovic. 03/2018. Use and Experiences with External Fetal Monitoring Devices Among Obstetrical Providers. Expert Fetal Medicine Conference. London UK.

2017

  1. G. Barsai, A. Yilmaz, S. Nagarajan, P. Srestasathiern. October 2017. Registration of Images to Lidar And GIS Data Without Establishing Explicit Correspondences. Photogrammetric Engineering & Remote Sensing. Vol 83. No 10. Pp 705-716. https://doi.org/10.14358/PERS.83.10.705 (ASPRS ESRI award recipient)
  2. C. Zhang, P. Tang, N. Cooke, V. Buchanan, A. Yilmaz, S. W. Germain, R. L. Boring, S. Akca-Hobbins, A. Gupta. May 2017. Human-centered automation for resilient nuclear power plant outage control. Journal of Automation in Construction. https://doi.org/10.1016/j.autcon.2017.05.001
  3. S. HosseinyAlamdary and A. Yilmaz. March 2017. A Bayesian Approach to Traffic Light Detection and Mapping. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 125, pp 184-192. https://doi.org/10.1016/j.isprsjprs.2017.01.008
  4. S. Deshpande and A. Yilmaz. January 2017. A semi-automated method to create a LiDAR-based hydro-flattened DEM. International Journal of Remote Sensing. Vol. 38, Issue: 5, p. Pages: 1365-1387. https://doi.org/10.1080/01431161.2017.1280632
  5. Y. Ye and A. Yilmaz. 11/2017. Generating Road Maps Automatically from Aerial Images. Autonomous GIS Workshop at the 25th ACM SIGSPATIAL. Redondo Beach, CA
  6. M. T. Koroglu and A. Yilmaz. Pedestrian inertial navigation with building floor plans for indoor environments via non-recursive Bayesian filtering. 2017 IEEE SENSORS, Glasgow, 2017, pp. 1-3.
  7. S. Li, A. Yilmaz, C. Xiao, and H. Li. 4D ISIP: 4d implicit surface interest point detection. in Image and Graphics (Y. Zhao, X. Kong, and D. Taubman, eds.), pp. 162–173, Springer International Publishing, 2017.
  8. C. Xiao and A. Yilmaz. 09/2017. A Unique Target Representation and Voting Mechanism For Visual Tracking. IEEE Int. Conf. Image Processing. Beijing, China.
  9. C. Xiao and A. Yilmaz. 06/2017. Visual Tracking Utilizing Object Concept from Deep Learning Network. ISPRS Annals of Photogrammetry and Remote Sensing Spatial Information Science, IV-1-W1, 125-132, https://doi.org/10.5194/isprs-annals-IV-1-W1-125-2017. Hannover, Germany
  10. Pearlman R, Frankel WL, Swanson B, Zhao W, Yilmaz A, Miller K, et al. April 2017. Prevalence and Spectrum of Germline Cancer Susceptibility Gene Mutations Among Patients With Early-Onset Colorectal Cancer. JAMA Oncol. 2017;3(4):464-471. https://doi.org/10.1001/jamaoncol.2016.5194
  11. A. Gupta and A. Yilmaz. 04/2017. Subspace Projection Methods for Large Scale Image Data Analysis. IEEE International Conference on Multimedia Big Data (BigMM). Laguna Hills, CA, USA
  12. N. Gard and Alper Yilmaz. 03/2017. Placing and Orienting a Network of Cameras Using Irradiance/Exposure-Added Camera Model and BIM. ASPRS Annual Conf. Imaging and Geospatial Technology Forum. Baltimore, MD
  13. S. Deshpande and A. Yilmaz. 03/2017. A method to hydroflatten Single Photon LiDAR. ASPRS Annual Conf. Imaging and Geospatial Technology Forum. Baltimore, MD
  14. M. Yi, A. Yilmaz and A. Gupta. 03/2017. Histogram intersection kernel with spatial pyramid matching for plant diseases classification. ASPRS Annual Conf. Imaging and Geospatial Technology Forum. Baltimore, MD

2016

  1. Z. Zhang, J. Pei, D. Wang, Q. Gan, J. Ye, J. Yue, B. Wang, S. Povoski, E. Martin, Jr, C. Hitchcock, A. Yilmaz, M. Tweedle, P. Shao and R. Xu. 2016. A Wearable Goggle Navigation System for Dual-mode Optical and Ultrasound Localization of Suspicious Lesions: Validation Studies Using Tissue-simulating Phantoms and An Ex Vivo Human Breast Tissue Model. Plos One. Volume:11, Issue:7, ISSN: 1932-6203
  2. A. Sukcharoenpong, A. Yilmaz, and R. Li. March 2016. An Integrated Active Contour Approach to Shoreline Mapping using HSI and DEM. IEEE Transactions on Geoscience and Remote Sensing. Volume:54, Issue: 3, p. 1586 – 1597. https://doi.org/10.1109/TGRS.2015.2483641
  3. A. Gupta and A. Yilmaz. 10/2016. Indoor Localization using Building Information Models. 8th ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness (ISA). San Francisco, CA.
  4. A. Yilmaz and A. Gupta. 10/2016. Indoor Positioning System Using Visual and Inertial Sensors. IEEE SENSORS. Orlando, FL.
  5. C. Xiao and A. Yilmaz. 12/2016. Efficient Tracking with Distinctive Target Colors and Silhouette. International Conference On Pattern Recognition (ICPR). Cancun, Mexico.
  6. A. Gupta, H. Chang and A. Yilmaz. 07/2016. GPS-Denied Geo-Localization Using Visual Odometry. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. Volume III-3, p. 263-270, Prague https://doi.org/10.5194/isprs-annals-III-3-263-2016.
  7. S. HosseinyAlamdary and A. Yilmaz. 07/2016. Traffic light detection using conic section geometry. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. Volume III-1, p. 191-200 https://doi.org/10.5194/isprs-annals-III-1-191-2016 Prague.
  8. M. Karnes, A. Gupta and A. Yilmaz. 09/2016. 3D Body Mapping For Real-Time Muscle Volume Assessment of Astronauts During LDEM. International Astronautical Congress. Guadalajara, Mexico.
  9. P. Tang, C. Zhang, A. Yilmaz, N. Cooke, R. Boring, A. Chasey, S. Jones, T. Vaughn. 07/2016. Automatic Imagery Data Analysis for Diagnosing Human Factors in the Outage of a Nuclear Plant. International Conference on Human-Computer Interaction. Toronto, Canada.
  10. Y. Zhang and A. Yilmaz. 07/2016. Structured light based 3D scanning for specular surface by the combination of gray code and phase shifting. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., Vol. XLI-B3. Pp. 137-142 Prague, Czech Republic. https://doi.org/10.5194/isprs-archives-XLI-B3-137-2016
  11. S. Deshpande and A. Yilmaz. 04/2016. A semi-automatic method to Hydro-flatten LiDAR data. ASPRS Imaging & Geospatial Technology Forum. Fort Worth, TX.
  12. Z. Zhang, J. Pei, D. Wang, C. Hu, J. Ye, Q. Gan, P. Liu, J. Yue, B. Wang, P. Shao, S. Povoski, E. Martin, Jr., A. Yilmaz, M. Tweedle and R. Xu. 2016. A Google Glass navigation system for ultrasound and fluorescence dual-mode image-guided surgery. SPIE Photonics West. February 2016. San Francisco, CA. http://doi.org/10.1117/12.2212250
  13. C. Zhang, P. Tang, A. Yilmaz, N. Cooke, A. Chasey, R. Boring, T. Vaughn, and S. Jones. 2016.  Video-based Crane-Related Workflow Control Framework for Nuclear Power Plant Outages. Association for Automation and Robotics in Construction. July 18. Auburn, Alabama

2015

  1. B. Abayowa, R. Hardie and A. Yilmaz. August 2015. Automatic Registration of Optical Aerial Imagery to a LiDAR Point Cloud for Generation of City Models. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 106, p. 68-81. https://doi.org/10.1016/j.isprsjprs.2015.05.006
  2. S. HosseinyAlamdary and A. Yilmaz. 12/2015. Surface Recovery: Fusion of Image and Point Cloud. IEEE ICCV Multi-Sensor Fusion Workshop. Santiago, Chili.
  3. J. Huai, Y. Zhang and A. Yilmaz. 09/2015. Real-time large scale 3D reconstruction by fusing Kinect and IMU data. ISPRS Ann. Photogrammetry Remote Sensing Spatial Information Science, II-3-W5, 491-496, 2015. La Grande Motte, France.
  4. Hosseinyalamdary and A. Yilmaz. 2015. 3D Super-Resolution Approach For Sparse Laser Scanner Data. ISPRS Ann. Photogrammetry Remote Sensing Spatial Information Science, II-3/W5, 151-157, https://doi.org/10.5194/isprsannals-II-3-W5-151-2015, 2015
  5. R.X. Xu, A. Yilmaz, P. Shao, Z. Zhang, W. Ren, P. Liu, J. Pei, T.F. Michael, S. Povoski, E. Martin. 2015. A wearable surgical navigation system for sentinel lymph node mapping and image-guided biopsy. Biomedical Engineering Society (BMES) Annual Meeting. October 7-10. Tampa, United States.
  6. M. Alshahri and A. Yilmaz. 2015. A Robust Line Feature Matching Method In A Wide-Baseline Views. ASPRS Imaging & Geospatial Information Forum. Tampa Florida (May).

2014

  1. L. Ding and A. Yilmaz. 2014. Learning Social Relations from Videos: Features, Models and Analytics. In Human-Centered Social Media Analytics. Edited by Y.R. Fu and S. Rees. New York, NY: Springer Verlag. https://doi.org/10.1007/978-3-319-05491-9_2
  2. D. Zamalieva and A. Yilmaz. 2014. Background subtraction for the moving camera: A geometric approach. Computer Vision and Image Understanding, Vol 127, p. 73-85. https://doi.org/10.1016/j.cviu.2014.06.007
  3. M. Al-Shahri and A. Yilmaz. September 2014. Line Matching in Wide-Baseline Stereo: A Top-Down Approach. IEEE Trans. on Image Processing. Vol 23, Issue 9. p. 4199-4210. https://doi.org/10.1109/TIP.2014.2331147
  4. J. Jiang and A. Yilmaz. March 2014. Persistent Feature Tracking Using Scene Geometry. Computer Vision and Image Understanding, Vol 120 p 141-156. https://doi.org/10.1016/j.cviu.2013.10.009
  5. R. Li, S. He, B. Skopljak, X. Meng, P. Tang, A. Yilmaz, J. Jiang, C. Oman, M. Banks and S. Kim. March 2014. A Multi-sensor Integration Approach toward Astronaut Navigation for Landed Lunar Missions. Journal of Field Robotics, (31)2 p. https://doi.org/245-262. 10.1002/rob.21488
  6. D. Zamalieva, A. Yilmaz and J. Davis. 09/2014. A Multi-Transformational Model for Background Subtraction with Moving Cameras. European Conference on Computer Vision. Switzerland. Vol. 8689, pp. 803-817.
  7. S. HosseinyAlamdary, P.-L. Lai, A. Yilmaz. 2014. Merging images, trajectory, and point clouds for 3D object tracking. ISPRS Photogrammetric Computer Vision TCIII Midterm Symposium. Zurich. Switzerland (September) (Second place award)
  8. D. Li, R. Li, A. Yilmaz. 2014. ESA ExoMars: Prelauch PanCam geometric modeling and accuracy assessment. ISPRS Photogrammetric Computer Vision TCIII Midterm Symposium. Zurich. Switzerland (September)
  9. S. Hosseinyalamdary and A. Yilmaz. 11/2014. Motion Vector Field Estimation Using Brightness Constancy Assumption and Epipolar Geometry Constraint. ISPRS Annals of Photogrammetry Remote Sensing Spatial Information Science, II-1, 9-16, https://doi.org/10.5194/isprsannals-II-1-9-2014
  10. D. Zamalieva, A. Yilmaz and J. Davis. 2014. Exploiting Temporal Geometry for Moving Camera Background Subtraction. International Conference on Pattern Recognition (ICPR). Sweden. (August)
  11. RS Kim, A. Yilmaz. 2014. Spectral Matching using Bitmap Indices of Spectral Derivatives for the Analysis of Hyperspectral Imagery. International Conference on Environmental Science and Technology. Houston, Texas (June).
  12. D. Zamalieva, Z. Jankovsky, A. Yilmaz, T. Aldemir and R. Denning. 2014. Automated Selection of Number of Clusters for Determining Proliferation Resistance Measures. Proc. of Probabilistic Safety Assessment and Management Topical Meeting. Honolulu, Hawaii (June)

2013

  1. D. Zamalieva, A. Yilmaz and T. Aldemir. December 2013. A probabilistic model for online scenario labeling in dynamic event tree generation. Journal of Reliability Engineering and System Safety, Vol. 120 p. 18-26. https://doi.org/10.1016/j.ress.2013.02.028
  2. D. Mandelli, A. Yilmaz, T. Aldemir, K. Metzroth, R. Denning. July 2013. Scenario Clustering and Dynamic Probabilistic Risk Assessment. Journal of Reliability Engineering & System Safety. Vol. 115, p. 146-160. https://doi.org/10.1016/j.ress.2013.02.013
  3. D. Zamalieva, A. Yilmaz and T. Aldemir. February 2013. Online Scenario Labeling using a Hidden Markov Model for Assessment of Nuclear Plant State. Journal of Reliability Engineering & System Safety, Vol. 110 p. 1-13. https://doi.org/10.1016/j.ress.2012.09.002
  4. Y. J. Lee and A. Yilmaz. Real-time object detection, tracking, and 3d positioning in a multiple camera setup. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. II-3/W2, pp. 31–35, 2013.
  5. J. Lawver and A. Yilmaz. Robust feature tracking in image sequences using view geometric constraints. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. II-3/W2, pp. 25–30, 2013. (Best Paper Award)
  6. M. Al-Shahri and A. Yilmaz. 2013. Framework for Line Feature Matching Across Images. ASPRS 2013 Annual Conference, Maryland (March)
  7. D. Mandelli, C. Smith, A. Yilmaz and T. Aldemir. 09/2013. Mining nuclear transient data through symbolic conversion. International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA). Columbia, South Carolina.
  8. D. Zamalieva, A. Yilmaz, T. Aldemir and R. Denning. 09/2013. Online labeling of dynamic event tree scenarios using Observable Operator Models. International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA).
  9. Z. Jankovsky, D. Zamalieva, A. Yilmaz, R. Denning and T. Aldemir. 09/2013. A clustering analysis of probabilistic proliferation resistance measures in an example nuclear fuel system. International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA). (best student paper award)
  10. D. Zamalieva, A. Yilmaz and T. Aldemir. 11/2013. Thresholding strategies for Dynamic Event Tree online labeling with Hidden Markov Models. American Nuclear Society Winter Meeting and Nuclear Technology Expo (ANS). Washington, DC.
  11. D. Mandelli, C. Smith, C. Rabiti, A. Alfonsi, R. Youngblood, V. Pascucci, B. Wang, D. Maljovec, P. T. Bremer, T. Aldemir, A. Yilmaz, D. Zamalieva. 11/2013. Dynamic PRA: an Overview of New Algorithms to Generate, Analyze and Visualize Data. American Nuclear Society Winter Meeting and Nuclear Technology Expo (ANS). Washington, DC., 949-953
  12. Z. Jankovsky, D. Zamalieva, R. Denning, A. Yilmaz and T. Aldemir. 2013. A Comparison of Various Clustering Schemes for Proliferation Resistance Measures. American Nuclear Society Winter Meeting (ANS).

2012

  1. F. Porikli and A. Yilmaz. 2012. Object Tracking. In Video Analytics for Business Intelligence. Edited by C. Shan, F. Porikli, T. Xiang and S. Gong. New York, NY: Springer Verlag. ISBN 978-3-642-28597-4
  2. A. Durdu, I. Erkmen, A. Erkmen, A. Yilmaz. 2012. Robotic Hardware and Software Integration for Changing Human Intentions. In Prototyping of Robotic Systems: Applications of Design and Implementation. Edited by T. Sobh, X. Xiong. IGI Global Publisher. ISBN13: 978-1-466-60176-5
  3. K. Mitra, J. Melvin, S. Chang, K. Park, A. Yilmaz, S. Melvin and R. Xu. November 2012. Indocyanine Green loaded microballoons for biliary imaging in cholecystectomy. Journal of Biomedical Optics. Vol. 17. No. 4 pp.116025. https://doi.org/10.1117/1.JBO.17.11.116025
  4. L. Ding, A. Yilmaz and R. Yan. April 2012. Interactive Image Segmentation Using Dirichlet Process Multiple View Learning. IEEE Trans. on Image Processing. Vol. 21. No.4, pp. 2119-2129. https://doi.org/10.1109/TIP.2011.2181398
  5. H Karimabadi, A Yilmaz, T Sipes. 2012. Recent Advances in Analysis of Large Datasets. Numerical Modeling of Space Plasma Slows (ASTRONUM 2011) 459, 371-377.
  6. P. Srestasathiern, A. Yilmaz. Jan 2012. Recovering projective structure and motion from straight lines. In: Evolutionary And Bio-Inspired Computation: Theory And Applications Vol. 8402 BELLINGHAM: Spie-Int Soc Optical Engineering.
  7. H. Lee and Alper Yilmaz. 03/2012. Intrinsic Color from a Single Outdoor Image. ASPRS Annual Conference. Sacramento, CA
  8. D. Zamalieva, A. Yilmaz, T. Aldemir. 10/2012. Online Scenario Classification in Dynamic Event Tree Generation Using a Statistical Markov Model. Proc.9th International Topical Meeting on Nuclear Thermal-Hydraulics, Operation and Safety (NUTHOS-9), Chung-Hwa Nuclear Society. Kaohsiung City, Taiwan.

2011

  1. A. Yilmaz. 2011. Detecting and Tracking the Action Content. In Computer Analysis of Human Behavior. Advances in Pattern Recognition. Edited by Theo Gevers and Albert Ali Salah. New York, NY: Springer Verlag. 41-68. ISBN 978-0-85729-993-2
  2. P. Srestasathiern and A. Yilmaz. November 2011. Planar Shape Representation and Matching Under Projective Transformation. Computer Vision and Image Understanding. Vol. 115. No. 11, pp. 1525-1535. https://doi.org/10.1016/j.cviu.2011.07.004
  3. A. Yilmaz. March 2011. Kernel Based Object Tracking Using Asymmetric Kernels with Adaptive Scale and Orientation Selection.  Machine Vision and Applications Journal. Vol. 22, no. 2: 255-268. https://doi.org/10.1007/s00138-009-0237-4
  4. J. Jiang and A. Yilmaz. 11/2011. Good Features to Track: A View Geometric Approach. IEEE Workshop on Mobile Vision (In conjunction with ICCV). Barcelona, Spain.
  5. A. Durdu, I. Erkmen, A. Erkmen and A. Yilmaz. 2011. Morphing Estimated Human Intention via Human-Robot Interactions. International Conference on Intelligent Automation and Robotics (ICIAR). San Francisco, CA (October), pp. 354-359.
  6. L. Ding and A. Yilmaz. 2011. Inferring Social Relations from Visual Concepts. IEEE International Conference on Computer Vision (ICCV). Barcelona, Spain. (November): pp. 699 – 706. https://doi.org/10.1109/ICCV.2011.6126306
  7. T Sipes, H Karimabadi, JT Gosling, T Phan, A Yilmaz. 2011. Use of Data Mining and Computer Vision Algorithms in Studies of Magnetic Reconnection. American Geophysical Union Fall Meeting.
  8. H. Karimabadi, H. X. Vu1, B. Loring, Y. Omelchenko, T. Sipes, V. Roytershteyn, W. Daughton, M. Tatineni, A. Majumdar, U. Catalyurek and A. Yilmaz. 2011. Petascale Kinetic Simulation of the Magnetosphere. TeraGrid Conference. Salt Lake City, UT (July). Article No. 5 https://doi.org/10.1145/2016741.2016747
  9. Lee,Young-Jin; Yilmaz,Alper. Jan 2011. Boresight Calibration of the Aerial Multi-Head Camera System. In: Evolutionary And Bio-Inspired Computation: Theory And Applications V. 8059 Bellingham: Spie-Int Soc Optical Engineering. pp. 805-908.
  10. Y. Lee and A. Yilmaz. 04/2011. Boresight Calibration of the Aerial Multi-Head Camera System. SPIE Evolutionary and Bio-Inspired Computation: Theory and Applications. Orlando, FL.
  11. K. Metzroth, D. Mandelli, A. Yilmaz, R. Denning and T. Aldemir. 2011. A Comparison of Scenario Binning Methods for Dynamic Probabilistic Risk Assessment. In: European Safety and Reliability Conference. Troyes, France. (September)
  12. D. Mandelli, A. Yilmaz and T. Aldemir. 2011. Scenario Analysis and PRA: Overview and Lessons Learned. In: European Safety and Reliability Conference. Troyes, France. (September)
  13. D. Zamalieva, A. Yilmaz and T. Aldemir. 2011. A Probabilistic Model for Online Scenario Labeling in Dynamic Event Tree Generation. In: European Safety and Reliability Conference. Troyes, France. (September)
  14. D. Mandelli, A. Yilmaz and T. Aldemir. 2011. Data Processing Methodologies Applied to Dynamic PRA: an Overview. In: Int. Topical Meeting on Probabilistic Safety Assessment and Analysis. Wilmington, NC. (March)
  15. D. Zamalieva, A. Yilmaz and T. Aldemir. 2011. Online State Estimation in Dynamic Event Trees for a Level Controller Dataset. In: International Topical Meeting on Probabilistic Safety Assessment and Analysis. LaGrange Park, IL. (March)
  16. D. Mandelli, A. Yilmaz, T. Aldemir. 2011. Clustering Scenarios on Manifolds. In: Proceedings of the American Nuclear Society, Vol 104, 391-393.
  17. T. Aldemir, U. Catalyurek, R. Denning, C. Smidts, X. Sun, A. Yilmaz. 2011. Method and Tool Development to Support Systematic Quantification of Uncertainties. In: Transactions of American Nuclear Society. Vol. 104. 954-956 (June)
  18. D. Mandelli, A. Yilmaz, T. Aldemir. 2011. Clustering Scenarios on Manifolds: an Application to Scenario Analysis using Principal Component Analysis. In: Transactions of American Nuclear Society. Vol. 105, 521-523 (November)

2010

  1. L. Ding and A. Yilmaz. May 2010. Interactive image segmentation using probabilistic hypergraphs.  Pattern Recognition. Vol. 43, no. 5: 1863-1873. https://doi.org/10.1016/j.patcog.2009.11.025
  2. L. Ding and A. Yilmaz. 2010. Enhancing Interactive Image Segmentation with Automatic Label Set Augmentation. In: Proc. of European Conference on Computer Vision (ECCV). Crete, Greece. (September): Vol 6316. pp. 575-588.
  3. L. Ding and A. Yilmaz. 2010. Learning Relations among Movie Characters: A Social Network Perspective. In: Proc. of European Conference on Computer Vision (ECCV). Crete, Greece. (September): pp. 410-423. https://doi.org/10.1007/978-3-642-15561-1_30
  4. K. Park and A. Yilmaz. 2010. Social Network Approach to Analysis of Soccer Game. In: International Conf. on Pattern Recognition (ICPR), oral presentation. Istanbul, Turkey: IAPR. (August 21), pp. 3935 – 3938. https://doi.org/10.1109/ICPR.2010.957
  5. H. Lee and A. Yilmaz. 2010. 3D Reconstruction Using Photo Consistency From Uncalibrated Multiple Views. In: Int. Conf. on Computer Vision Theory and Applications (VISAPP). SciTePress. Angers, France. (May), pp. 1-6
  6. A. Yilmaz. 2010. Photogrammetry Tutorial for EO Exploitation. In: IEEE NAECON. Dayton, OH. (July 14)
  7. V. Khare, A. Yilmaz and Olga Mendoza-Schrock. 2010. Precise Image Registration and Occlusion Labeling. In: IEEE NAECON. Dayton, OH. (July 14)
  8. Y. Lee, A. Yilmaz and O. Mendoza-Schrock. 2010. In-flight Camera Platform Calibration of the Aerial Multi-Head Camera System. In: IEEE NAECON. Dayton, OH. (July 14): 1-6.
  9. D. Mandelli, A. Yilmaz, K. Metzroth, R. Denning and T. Aldemir. 2010. Scenario Aggregation and Analysis via Mean-Shift Methodology. In: Int. Congress on Advances in Nuclear Power Plants. San Diego, CA. (June): 990-994.
  10. D. Mandelli, A. Yilmaz, K. Metzroth, T. Aldemir and R. Denning. 2010. DET and Scenario Aggregation: A Sensitivity Analysis. In: Proc. of Verification and Validation for Nuclear Systems Analysis Workshop, Raleigh, NC. (June).
  11. T. Aldemir, A. Yilmaz and D. Mandelli. 2010. Scenario Aggregation in Dynamic PRA Uncertainty Quantification. In: Proceedings of the American Nuclear Society. Vol. 102. San Diego, CA. (June): 246-249.
  12. D. Mandelli, A. Yilmaz, T. Aldemir and R. Denning. 2010. Scenario Aggregation and Analysis via Mean-Shift Methodology. In: Proc. of Probabilistic Safety Assessment and Management. Seattle, WA. (June).
  13. D. Mandelli, K. Metzroth, A. Yilmaz, R. Denning and T. Aldemir. 2010. Probabilistic Clustering for Scenario Analysis. In: Proceedings of the American Nuclear Society. Vol. 103. Las Vegas, NV. (June): 371-374.
  14. I. Lee, S. He, P. Lai and A. Yilmaz. 2010. Building Point Grouping Using View-Geometry Relations. In: ASPRS Annual Conference. San Diego, CA. (April 25)
  15. K. Park and A. Yilmaz. 2010. A Social Network Analysis Approach to Analyze Road Networks. In: ASPRS Annual Conference. San Diego, CA. (April 25)
  16. R. Li, S. He, B. Skopljak, J. Jiang, P. Tang, A. Yilmaz, M. Banks and C. Oman. 2010. Development of a Lunar Astronaut Spatial Orientation and Information System (LASOIS). In: ASPRS Annual Conference. San Diego, CA. (April 25)

2009

  1. A. Yilmaz. 2009. Active Contours: Snakes. In Wiley Encyclopedia of Computer Science and Engineering. Vol. 1. Edited by Benjamin W. Wah. New Jersey: John Wiley & Sons. 11-13. ISBN: 978-0-471-38393-2
  2. A. Yilmaz. 2009. Level Set Methods. In Wiley Encyclopedia of Computer Science and Engineering. Vol. 3. Edited by Benjamin W. Wah. New Jersey: John Wiley & Sons. 1731-1734. ISBN: 978-0-471-38393-2
  3. A. Yilmaz. 2009. Contour Tracking. In Wiley Encyclopedia of Computer Science and Engineering. Vol. 1. Edited by Benjamin W. Wah. New Jersey: John Wiley and Sons. 668-672. ISBN: 978-0-471-38393-2
  4. P. Lai and A. Yilmaz. 2009. Shape Recovery Using Rotated Slicing Planes. In: Int. Congress on Image and Signal Processing (CISP). Tianjin, China. (October 17)
  5. R. Li, B. Wu, B. Skolpjak, S. He, Y. Lee, A. Yilmaz, J. Jiang, M. Banks, C. Oman, and K. Bhasin. 2009. Prototype Development for a Lunar Astronaut Spatial Orientation and Information System. In: NLSI Lunar Science Forum: NASA. (June 21)
  6. Yilmaz and G. Barsai. 2009. Object Recognition Using Angles in the Projective Plane. In: American Society for Photogrammetry and Remote Sensing Annual Conference. Baltimore, MD, USA. (March): 1-6.
  7. P. Lai and A. Yilmaz. 2009. A New Approach for Vanishing Line Estimation. In: American Society for Photogrammetry and Remote Sensing Annual Conference. Baltimore, MD, USA. (March): 1-6.

2008

  1. A. Yilmaz and M. Shah. March 2008. A Differential Geometric Approach To Representing the Human Actions.  Computer Vision and Image Understanding. Vol. 109, no. 3: 335-351. https://doi.org/10.1016/j.cviu.2007.09.006
  2. L. Ding and A. Yilmaz. 2008. Image Segmentation as Learning on Hypergraphs. In: Int. Conf. on Machine Learning and Applications (ICMLA). San Diego, CA, USA. (December): 247-252.
  3. P. Srestasathiern and A. Yilmaz. View invariant object recognition. 2008 19th International Conference on Pattern Recognition, Tampa, FL, 2008, pp. 1-4.
  4. Yilmaz and G. Barsai. 2008. A View-Geometric Approach to View and Occlusion Invariant Geographic Shape Recognition and Retrieval. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS). B3b, Vol. XXXVII. Beijing, China. (July): 457-463.
  5. P. Lai and A. Yilmaz. 2008. Projective Reconstruction of Building Shape from Silhouette Images Acquired from Uncalibrated Cameras. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS). B3b, Vol. XXXVII. Beijing, China. (July): 103-108.
  6. P. Lai and A. Yilmaz. 2008. Efficient Object Shape Recovery via Slicing Planes. In: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). Anchorage, AK, USA. (June): 1-6.
  7. R. Li, K. Di, B. Wu, S. He, B. Skopljak, M. Tang, A. Yilmaz, M. Banks, C. Oman and K. Bhasin. 2008. LASOIS: Enhancing the Spatial Orientation Capability of Astronauts on the Lunar Surface. In: NASA Lunar Science Conference. San Jose, CA, USA. (July): 1-4.

2007

  1. A. Yilmaz. 2007. Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection. In: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). Minneapolis, MN, USA. (June): 1-6.
  2. K. Park and A. Yilmaz. 2007. A Design of a Web Service for Digital Photogrammetry Workstation Using Service Oriented Architecture. In: International e-Conference on Computer Science. (December)
  3. A. Yilmaz. 2007. Sensor Fusion in Computer Vision. In: IEEE GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas. Paris, France. (April)

2006

  1. A. Yilmaz, O. Javed and M. Shah. January 2006. Object Tracking: A Survey.  ACM Journal of Computing Surveys. Vol. 38, no. 4. https://doi.org/10.1145/1177352.1177355
  2. A. Yilmaz and M. Shah. November 2006. Matching Actions In Presence Of Camera Motion.  Computer Vision and Image Understanding. Vol. 104, no. 2-3. 221-231. https://doi.org/10.1016/j.cviu.2006.07.012

2005

  1. A. Yilmaz and M. Shah. 2005. Actions Sketch: A Novel Action Representation. In: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). Vol. 1: 1063-1069.
  2. A. Yilmaz and M. Shah. 2005. Recognizing Human Actions in Videos Acquired by Uncalibrated Moving Cameras. In: IEEE International Conf. on Computer Vision (ICCV). Vol. 1: 150-157.
  3. Y. Zhai, A. Yilmaz and M. Shah. 2005. Story Segmentation in News Videos Using Visual and Text Cues. ACM Int. Conf. on Image andVideo Retrieval. 92-102.

2004

  1. A. Yilmaz, X. Li and M. Shah. 2004. Contour Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras.  IEEE Trans. on Pattern Analysis and Machine Intelligence. Vol. 26, no. 11: 1531-1536. ISSN 0162-8828
  2. A. Yilmaz, X. Li and M. Shah. 01/2004. Object Contour Tracking Using Level Sets. In: Asian Conf. on Computer Vision (ACCV). Jeju, Korea. pp. 1-5

2003

  1. A. Yilmaz, K. Shafique and M. Shah. July 2003. Target Tracking in Airborne Forward Looking Infrared Imagery.  Image and Vision Computing. Vol. 21, no. 7: 623-635. https://doi.org/10.1016/S0262-8856(03)00059-3

2002

  1. C. Rao, A. Yilmaz and M. Shah. November 2002. View Invariant Representation and Recognition of Actions.  Int. Journal of Computer Vision. Vol. 50, no. 2: 203-226. ISSN 0920-5691
  2. A. Yilmaz and M. Shah. 01/2002. Automatic Feature Detection and Pose Recovery for Faces. In: Asian Conf. on Computer Vision (ACCV). Vol. 1: 284-289.
  3. A. Yilmaz and M. Shah. 09/2002. Estimation of Arbitrary Albedo and Shape from Shading for Symmetric Objects. In: British Machine Vision Conference (BMVC). pp. 71.1-71.9. ISBN 1 901725 19 7
  4. A. Yilmaz, K. Shafique and M. Shah. 01/2002. Estimation of Rigid and Nonrigid Motion Using Anatomical Face Model. In: International Conference on Pattern Recognition (ICPR). Vol. 1: 377-380.

2001

  1. A. Yilmaz and M. Gokmen. 2001. Eigenhill vs. Eigenface and Eigenedge.  Pattern Recognition. Vol. 34, No 1: p. 181-184. ISSN 0031-3203
  2. A. Yilmaz, K. Shafique, N. Lobo, T. Olson and M. Shah. 12/2001. Target Tracking in FLIR Imagery Using Mean-Shift and Global Motion Compensation. In: IEEE Workshop on Computer Vision Beyond Visible Spectrum. pp. 1-6

2000

  1. A. Yilmaz and M. Gokmen. 2000. Eigenhills vs. Eigenface and Eigenedge. In: IAPR International Conf. on Pattern Recognition (ICPR). Vol. 2: 827-830.
  2. A. Yilmaz and M. Gokmen. 2000. Illumination Analysis for Face Recognition Algorithms. In: IEEE Nat. Conf. on Signal Processing and Applications
  3. A. Yilmaz and M. Shah. 2000. Shot Detection Using Principal Coordinate System. In: IASTED Internet and Multimedia Systems and Applications (IMSA). Conference: 168-175.

1999

  1. A. Yilmaz and M. Gokmen. 1999. Face Recognition Using Eigenhills. In: International Symposium on Computer and Information Sciences (ISCIS).

Comments are closed, but trackbacks and pingbacks are open.