Touqeer Ahmad

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George BebisFoundation Professor, Dept of Computer Science and Engineering, University of Nevada RenoEmail verificata su cse.unr.edu
Terrance E. BoultCU Distinguished Professor Emeritus, University of Colorado Colorado SpringsEmail verificata su vast.uccs.edu
Ara NefianSenior ScientistEmail verificata su nasa.gov
Akshay Raj DhamijaUniversity of Colorado at Colorado SpringsEmail verificata su vast.uccs.edu
Chunchun LiPh.D Researcher, University of Colorado at Colorado SpringsEmail verificata su uccs.edu
Mohsen JafarzadehUniversity of Colorado Colorado SpringsEmail verificata su uccs.edu
Steve CruzPostdoctoral Research Associate, University of Notre DameEmail verificata su nd.edu
Terry (Terrence) FongChief Roboticist, Intelligent Robotics Group, NASA Ames Research CenterEmail verificata su nasa.gov
Ebrahim EmamiUniversity of Nevada RenoEmail verificata su nevada.unr.edu
Muhammad SaadiSMIEEE, Senior Research Fellow, Nottingham Trent UniversityEmail verificata su ntu.ac.uk
Emma RegentovaAssociate Professor, Electrical and Computer EngineeringEmail verificata su unlv.edu
Ryan RabinowitzEmail verificata su uccs.edu
Monica NicolescuProfessor of Computer Science and Engineering, University of Nevada, RenoEmail verificata su cse.unr.edu
Walter ScheirerDennis O. Doughty Collegiate Professor of EngineeringEmail verificata su nd.edu
Carl VondrickAssociate Professor, Columbia UniversityEmail verificata su columbia.edu
Derek PrijateljPhD Candidate, University of Notre DameEmail verificata su nd.edu
Muhammad Kamran SaleemUniversity of Central Punjab, Lahore, PakistanEmail verificata su ucp.edu.pk
Dr. Lunchakorn WuttisittikulkijDepartment of Electrical Engineering, Faculty of Engineering, Chulalongkorn UniversityEmail verificata su chula.ac.th
Przemyslaw A. GrabowiczAssistant Professor of Computer Science; University College Dublin & UMass AmherstEmail verificata su cs.umass.edu
Lawrence HolderWashington State UniversityEmail verificata su wsu.edu

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Touqeer Ahmad

Research Associate, University of Colorado Colorado Springs

Email verificata su vast.uccs.edu - Home page

Computer Vision Machine Learning Applied Machine Learning Machine Learning Applications Visual Localization


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Low-resolution face recognition with single sample per person Y Chu, T Ahmad, G Bebis, L Zhao Signal Processing 141, 144-157, 2017	53	2017
Towards a Unifying Framework for Formal Theories of Novelty TE Boult, PA Grabowicz, DS Prijatelj, R Stern, L Holder, J Alspector, ... 35th AAAI Conference on Artificial Intelligence, 2021	47	2021
An Edge-Less Approach to Horizon Line Detection T Ahmad, G Bebis, M Nicolescu, A Nefian, T Fong 14th IEEE International Conference on Machine Learning and Applications …, 2015	40	2015
Crater detection using unsupervised algorithms and convolutional neural networks E Emami, T Ahmad, G Bebis, A Nefian, T Fong IEEE Transactions on Geoscience and Remote Sensing 57 (8), 5373-5383, 2019	39	2019
Few-shot class incremental learning leveraging self-supervised features T Ahmad, AR Dhamija, S Cruz, R Rabinowitz, C Li, M Jafarzadeh, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	36	2022
Visible light communication–An architectural perspective on the applications and data rate improvement strategies M Saadi, T Ahmad, M Kamran Saleem, L Wuttisittikulkij Transactions on Emerging Telecommunications Technologies, e3436, 2018	36	2018
An LED based Indoor Localization System using k-means Clustering M Saadi, T Ahmad, Y Zhao, L Wuttisttikulkij 15th IEEE International Conference on Machine Learning and Applications …, 2016	36	2016
Visible light‐based indoor localization using k‐means clustering and linear regression M Saadi, Z Saeed, T Ahmad, MK Saleem, L Wuttisittikulkij Transactions on Emerging Telecommunications Technologies, e3480, 2018	34	2018
Symbolic Road Marking Recognition Using Convolutional Neural Networks T Ahmad, D Ilstrup, E Emami, G Bebis 28th IEEE Intelligent Vehicles Symposium, 2017	32	2017
Multiple feature subspaces analysis for single sample per person face recognition Y Chu, L Zhao, T Ahmad The Visual Computer 35, 239-256, 2019	31	2019
A Machine Learning Approach to Horizon Line Detection Using Local Features. T Ahmad, G Bebis, E Regentova, A Nefian 9th International Symposium on Visual Computing (ISVC), 181-193, 2013	29	2013
Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection T Ahmad, P Campr, M Cadik, G Bebis 30th IEEE International Joint Conference on Neural Networks, 2017	23	2017
A review of open-world learning and steps toward open-world learning without labels M Jafarzadeh, AR Dhamija, S Cruz, C Li, T Ahmad, TE Boult arXiv preprint arXiv:2011.12906, 2020	20	2020
Sky Segmentation by Fusing Clustering with Neural Networks. AP Yazdanpanah, EE Regentova, AK Mandava, T Ahmad, G Bebis 9th International Symposium on Visual Computing (ISVC), 663-672, 2013	20	2013
Automatic open-world reliability assessment M Jafarzadeh, T Ahmad, AR Dhamija, C Li, S Cruz, TE Boult Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021	19	2021
Lunar crater detection via region-based convolutional neural networks E Emami, T Ahmad, G Bebis, A Nefian, T Fong 49th Annual Lunar and Planetary Science Conference, 2381, 2018	16	2018
Self-supervised features improve open-world learning AR Dhamija, T Ahmad, J Schwan, M Jafarzadeh, C Li, TE Boult arXiv preprint arXiv:2102.07848, 2021	15	2021
Fusion of Edge-less and Edge-based Approaches for Horizon Line Detection T Ahmad, G Bebis, M Nicolescu, A Nefian, T Fong 6th IEEE International Conference on Information, Intelligence, Systems and …, 2015	14	2015
Variable few shot class incremental and open world learning T Ahmad, AR Dhamija, M Jafarzadeh, S Cruz, R Rabinowitz, C Li, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	12	2022
Horizon line detection using supervised learning and edge cues T Ahmad, G Bebis, M Nicolescu, A Nefian, T Fong Computer Vision and Image Understanding 191, 102879, 2020	10	2020

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