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Touqeer Ahmad
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Citado por
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Año
Low-resolution face recognition with single sample per person
Y Chu, T Ahmad, G Bebis, L Zhao
Signal Processing 141, 144-157, 2017
502017
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
442021
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
402019
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
402015
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
352018
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
342018
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
342016
Multiple feature subspaces analysis for single sample per person face recognition
Y Chu, L Zhao, T Ahmad
The Visual Computer 35, 239-256, 2019
312019
Symbolic Road Marking Recognition Using Convolutional Neural Networks
T Ahmad, D Ilstrup, E Emami, G Bebis
28th IEEE Intelligent Vehicles Symposium, 2017
312017
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
292013
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
272022
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
232017
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
202013
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
192021
Open-world learning without labels
M Jafarzadeh, AR Dhamija, S Cruz, C Li, T Ahmad, TE Boult
arXiv preprint arXiv:2011.12906, 2020
182020
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
162018
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
142015
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
132021
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
102020
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
92022
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