| Devices, Systems, and Methods for Automated Weight Sensing and Logging of Prepared Foods for Checkout K Nagarajan, A Bay US Patent App. 18/072,249, 2024 | | 2024 |
| Devices, Systems, and Methods for Automated Weight Measuring and Inventory Management of Consumer Goods K Nagarajan, A Bay US Patent App. 18/072,173, 2024 | | 2024 |
| Systems and Methods for Predicting a Required Number of Opened Point of Sale (POS) Stations to Accommodate a Number of Customers K Nagarajan, A Bay, A Ozdemir US Patent App. 18/072,194, 2024 | | 2024 |
| Automatic Quality Assessment of Tasks A Bay, A Mirabile US Patent App. 17/992,742, 2024 | | 2024 |
| Object identification based on a partial decode F Lupo, A Bay, A Mirabile US Patent 11,922,268, 2024 | | 2024 |
| 3D product reconstruction from multiple images collected at checkout lanes A Bay, A Mirabile US Patent 11,875,457, 2024 | | 2024 |
| System Configuration for Learning and Recognizing Packaging Associated with a Product A Bay, A Mirabile, SP Hubbard, A Kumar, SPKW Arachchilage, E Kim, ... US Patent App. 17/538,183, 2023 | | 2023 |
| Image-based anomaly detection based on a machine learning analysis of an object DS Gonzales, Y Zhang, A Mirabile, A Bay US Patent App. 17/334,162, 2022 | 1 | 2022 |
| On deep neural network calibration by regularization and its impact on refinement A Singh | 3 | 2021 |
| Unified Evaluation Of Neural Network Calibration & Refinement A Singh, A Bay, A Mirabile | | 2021 |
| On the dark side of calibration for modern neural networks A Singh, A Bay, B Sengupta, A Mirabile ICML Workshop on Uncertainty and Robustness in Deep Learning, 2021 | 5 | 2021 |
| Assessing the importance of colours for cnns in object recognition A Singh, A Bay, A Mirabile arXiv preprint arXiv:2012.06917, 2020 | 9 | 2020 |
| Detecting, tracking and counting people getting on/off a metropolitan train using a standard video camera SA Velastin Carroza, R Fernández, JE Espinosa, A Bay MDPI, 2020 | | 2020 |
| Detecting, tracking and counting people getting on/off a metropolitan train using a standard video camera SA Velastin, R Fernández, JE Espinosa, A Bay Sensors 20 (21), 6251, 2020 | 47 | 2020 |
| On mixup training: Improved calibration and predictive uncertainty for deep neural networks neurips reproducibility challenge 2019 A Singh, A Bay | 3 | 2020 |
| Convolutional recurrent predictor: Implicit representation for multi-target filtering and tracking M Emambakhsh, A Bay, E Vazquez IEEE Transactions on Signal Processing 67 (17), 4545-4555, 2019 | 9 | 2019 |
| Real-time tracker with fast recovery from target loss A Bay, P Sidiropoulos, E Vazquez, M Sasdelli ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 1 | 2019 |
| Filtering point targets via online learning of motion models M Emambakhsh, A Bay, E Vazquez arXiv preprint arXiv:1902.07630, 2019 | 3 | 2019 |
| Deep recurrent neural network for multi-target filtering M Emambakhsh, A Bay, E Vazquez MultiMedia Modeling: 25th International Conference, MMM 2019, Thessaloniki …, 2019 | 7 | 2019 |
| Hide and Seek tracker: Real-time recovery from target loss A Bay, P Sidiropoulos, E Vazquez, M Sasdelli arXiv preprint arXiv:1806.07844, 2018 | | 2018 |
