Publications
Journal Publications
[11]. C. Li, M. Gunther, A. R. Dhamija, S. Cruz, M. Jafarzadeh, T. Ahmad, and T. E. Boult: Agglomerative Clustering with Threshold Optimization via Extreme Value Theory, Algorithms, Vol. 15, No. 05, 2022. [Link]
[10]. Y. Chu, T. Ahmad, and L. Zhao: Adapted Discriminative Coupled Mappings for Low-Resolution Face Recognition with One-Shot, Journal of Intelligent & Fuzzy Systems, Vol. 42, No. 06, pp. 5903-5917, 2022. [Link]
[09]. Y. Chu, L. Zhao, and T. Ahmad: Integrating Generalized Domain Adaptation and Fisher Discriminative Learning: A Unified Framework for Face Recognition with Single Sample Per Person, Journal of Intelligent & Fuzzy Systems, Vol. 41, No. 06, pp. 7241-7255, 2021. [Link]
[08]. T. Ahmad, G. Bebis, M. Nicolescu, A. Nefian, and T. Fong: Horizon Line Detection using Supervised Learning and Edge Cues, Computer Vision and Image Understanding, Vol. 191, 2020. [Link] [pdf]
[07]. E. Emami, T. Ahmad, G. Bebis, A. Nefian, and T. Fong: Crater Detection Using Unsupervised Algorithms and Convolutional Neural Networks, IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 08, pp. 5373-5383, 2019. [Link] [pdf]
[06]. Y. Chu, Y. Zhao, T. Ahmad, and L. Zhao: Low Resolution Face Recognition with Single Sample per Person via Domain Adaptation, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 33, No. 05, 2019. [Link]
[05]. M. Saadi, Z. Saeed, T. Ahmad, M. K. Saleem, and L. Wuttisttikulkij: Visible Light based Indoor Localization using k-means Clustering and Linear Regression, Transactions on Emerging Telecommunications Technologies, Vol. 30, No. 02, 2019. [Link]
[04]. M. Saadi, T. Ahmad, M. K. Saleem, and L. Wuttisttikulkij: Visible Light Communication – An Architectural Perspective on the Applications and Data Rate Improvement Strategies, Transactions on Emerging Telecommunications Technologies, Vol. 30, No. 02, 2019. [Link]
[03]. Y. Chu, L. Zhao, and T. Ahmad: Multiple Feature Subspaces Analysis for Single Sample per Person Face Recognition, The Visual Computer, Vol. 35, No. 2, pp. 239-256, 2019. [Link]
[02]. Y. Chu, T. Ahmad, G. Bebis, and L. Zhao: Low-resolution Face Recognition with Single Sample per Person, Signal Processing, Vol. 141, pp. 144-157, 2017. [Link] [pdf]
[01]. T. Ahmad, G. Bebis, E. Regentova, A. Nefian, and T. Fong: Coupling Dynamic Programming with Machine Learning for Horizon Line Detection, International Journal on Artificial Intelligence Tools, Vol. 24, No. 4, 2015. [Link] [pdf]
Conference/Workshop Publications
[17]. T. Ahmad, M. Jafarzadeh, A. R. Dhamija, R. Rabinowitz, S. Cruz, C. Li, and T. E. Boult: Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions, 35th International Joint Conference on Neural Networks (IJCNN'22), Padua, Italy, Jul 18-23, 2022. [Link] [pdf] [poster] [code]
[16]. T. Ahmad, A. R. Dhamija, M. Jafarzadeh, S. Cruz, R. Rabinowitz, C. Li, and T. E. Boult: Variable Few Shot Class Incremental and Open World Learning, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW'22), New Orleans, Louisiana, USA, Jun 19-24, 2022. [Link] [pdf] [poster] [code]
[15]. T. Ahmad, A. R. Dhamija, S. Cruz, R. Rabinowitz, C. Li, M. Jafarzadeh, and T. E. Boult: Few-Shot Class Incremental Learning Leveraging Self-Supervised Features, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW'22), New Orleans, Louisiana, USA, Jun 19-24, 2022. [Link] [pdf] [poster] [code]
[14]. T. Ahmad, E. Emami, M. Cadik, and G. Bebis: Resource Efficient Mountainous Skyline Extraction using Shallow Learning, 34th International Joint Conference on Neural Networks (IJCNN'21), Virtual, Jul 18-22, 2021. [Oral] [Link] [pdf] [presentation] [pre-print] [code]
[13]. T. E. Boult, P. A. Grabowicsz, D. S. Prijatelj, R. Stern, L. Holder, J. Alspector, M. Jafarzadeh, T. Ahmad, A. R. Dhamija, C. Li, S. Cruz, A. Shrivastava, C. Vondrick, and W. J. Scheirer: Towards a Unifying Framework for Formal Theories of Novelty, 35th AAAI Conference on Artificial Intelligence (AAAI'21), Virtual, Feb 2-9, 2021. [Oral] [Link] [pdf] [presentation]
[12]. M. Jafarzadeh, T. Ahmad, A. R. Dhamija, C. Li, S. Cruz, and T. E. Boult: Automatic Open-World Reliability Assessment, 21st IEEE/CVF Winter Conference on Applications of Computer Vision (WACV'21), Virtual, Jan 5-9, 2021. [Oral] [Link] [pdf] [supp] [presentation] [pre-print]
[11]. E. Emami, T. Ahmad, G. Bebis, A. Nefian, and T. Fong: Lunar Crater Detection via Region-Based Convolutional Neural Networks, 49th Lunar and Planetary Science Conference (LPSC'18), The Woodlands, Texas, USA, March 19-23, 2018. [Link] [pdf]
[10]. E. Emami, T. Ahmad, G. Bebis, A. Nefian, and T. Fong: On Crater Classification Using Deep Convolutional Neural Networks, 49th Lunar and Planetary Science Conference (LPSC'18), The Woodlands, Texas, USA, March 19-23, 2018. [Link] [pdf]
[09]. T. Ahmad, D. Ilstrup, E. Emami, and G. Bebis: Symbolic Road Marking Recognition Using Convolutional Neural Networks, 28th IEEE Intelligent Vehicles Symposium (IV'17), Redondo Beach, California, USA, June 11-14, 2017. [Link] [pdf]
[08]. T. Ahmad, P. Campr, M. Cadik, and G. Bebis: Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection, 30th International Joint Conference on Neural Networks (IJCNN'17), Anchorage, Alaska, USA, May 14-19, 2017. [Oral] [Link] [pdf] [pre-print]
[07]. M. Saadi, T. Ahmad, Y. Zhao, and L. Wuttisttikulkij: An LED based Indoor Localization System using k-means Clustering, 15th IEEE International Conference on Machine Learning and Applications (ICMLA'16), Anaheim, California, USA, December 18-20, 2016. [Oral] [Link]
[06]. T. Ahmad, G. Bebis, M. Nicolescu, A. Nefian, and T. Fong: An Edge-Less Approach to Horizon Line Detection, 14th IEEE International Conference on Machine Learning and Applications (ICMLA'15), Miami, Florida, USA, December 9-11, 2015. [Oral] [Link] [pdf]
[05]. T. Ahmad, G. Bebis, M. Nicolescu, A. Nefian, and T. Fong: Fusion of Edge-less and Edge-based Approaches for Horizon Line Detection, 6th International Conference on Information, Intelligence, Systems and Applications (IISA'15), Corfu, Greece, July 6-8, 2015. [Oral] [Link] [pdf]
[04]. T. Ahmad, G. Bebis, E. Regentova, A. Nefian, and T. Fong: An Experimental Evaluation of Different Features and Nodal Costs for Horizon Line Detection, 10th International Symposium on Visual Computing (ISVC'14), Las Vegas, Nevada, USA, December 8-10, 2014. [Oral] [Link, Video] [pdf]
[03]. T. Ahmad, G. Bebis, E. Regentova, and A. Nefian: A Machine Learning Approach to Horizon Line Detection Using Local Features, 9th International Symposium on Visual Computing (ISVC'13), Crete, Greece, July 29-31, 2013. [Oral] [Link, Video] [pdf]
[02]. A. P. Yazdanpanah, E. E. Regentova, A. K. Mandava, T. Ahmad, and G. Bebis: Sky Segmentation by Fusing Clustering with Neural Networks, 9th International Symposium on Visual Computing (ISVC'13), Crete, Greece, July 29-31, 2013. [Link] [pdf]
[01]. T. Ahmad, R. C. Wilson, W. A. P. Smith, and T. S. F. Haines: Combining Probabilistic Shape-from-Shading and Statistical Facial Shape Models, 16th International Conference on Image Analysis and Processing (ICIAP'11), Ravenna, Italy, September 14-16, 2011. [Link] [pdf]
Book Chapter
[1]. A. Shrivastava, P. Kuman, Anubhav, C. Vondrick, W. Scheirer, D. S. Prijatelj, M. Jafarzadeh, T. Ahmad, C. Cruz, R. Rabinowitz, A. Al Shami and T. E. Boult: Novelty in Image Classification, A Unifying Framework for Formal Theories of Novelty. Synthesis Lectures on Computer Vision. Springer, 2023. [Link]