| Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition M Parchami, S Bashbaghi, E Granger, S Sayed 2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017 | 35 | 2017 |
| Varm: Using virtual reality to program robotic manipulators M Theofanidis, SI Sayed, A Lioulemes, F Makedon Proceedings of the 10th International Conference on PErvasive Technologies …, 2017 | 27 | 2017 |
| Hierarchical modeling for task recognition and action segmentation in weakly-labeled instructional videos R Ghoddoosian, S Sayed, V Athitsos Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 19 | 2022 |
| Kinematic estimation with neural networks for robotic manipulators M Theofanidis, SI Sayed, J Cloud, J Brady, F Makedon Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 16 | 2018 |
| Action duration prediction for segment-level alignment of weakly-labeled videos R Ghoddoosian, S Sayed, V Athitsos Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 9 | 2021 |
| A new dataset and approach for timestamp supervised action segmentation using human object interaction S Sayed, R Ghoddoosian, B Trivedi, V Athitsos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Cognitive assessment in children through motion capture and computer vision: the cross-your-body task SI Sayed, K Tsiakas, M Bell, V Athitsos, F Makedon Proceedings of the 6th international Workshop on Sensor-based Activity …, 2019 | 3 | 2019 |
| Cross your body: a cognitive assessment system for children S Sayed, V Athitsos Advances in Visual Computing: 16th International Symposium, ISVC 2021 …, 2021 | 2 | 2021 |
| Deep feature tracker: A novel application for deep convolutional neural networks M Parchami, SI Sayed arXiv preprint arXiv:2108.00105, 2021 | 1 | 2021 |
| Understanding human actions: Cognitive assessment and action segmentation using human object interaction SI Sayed The University of Texas at Arlington, 2022 | | 2022 |
| iGait: Vision-based Low-Cost, Reliable Machine Learning Framework for Gait Abnormality Detection S Sayed | | 2017 |
| Quantization and Classification of Sedimentation of a Coastal Hydraulic Model using Image Processing Technique S Sayed, MS Balan, P Prabhudesai, MS Shelke Methodology 1 (4), 2011 | | 2011 |
| Supplementary Material: Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-Labeled Instructional Videos R Ghoddoosian, S Sayed, V Athitsos | | |
| Vision-Learning-Mining Lab, University of Texas at Arlington R Ghoddoosian, S Sayed, V Athitsos | | |
| ADAPTIVE COLOR GAMMA CORRECTION FOR SEDIMENT CLASSIFICATION AND QUANTIZATION IN A RESERVOIR S Sayed, P Prabhudesai, S Balan, S Shelke | | |
