Low-resolution face recognition with single sample per person Y Chu, T Ahmad, G Bebis, L Zhao Signal Processing 141, 144-157, 2017 | 46 | 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 | 42 | 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 |
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 | 35 | 2018 |
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 | 33 | 2019 |
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 |
Symbolic Road Marking Recognition Using Convolutional Neural Networks T Ahmad, D Ilstrup, E Emami, G Bebis 28th IEEE Intelligent Vehicles Symposium, 2017 | 31 | 2017 |
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 | 31 | 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 | 29 | 2018 |
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 | 20 | 2017 |
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 | 19 | 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 | 17 | 2021 |
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 | 16 | 2022 |
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 |
Open-world learning without labels M Jafarzadeh, AR Dhamija, S Cruz, C Li, T Ahmad, TE Boult arXiv preprint arXiv:2011.12906, 2020 | 14 | 2020 |
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 |
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 | 13 | 2021 |
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 |
Coupling Dynamic Programming with Machine Learning for Horizon Line Detection T Ahmad, G Bebis, E Regentova, A Nefian, T Fong International Journal on Artificial Intelligence Tools 24 (4), 19, 2015 | 9 | 2015 |