| Cure-or: Challenging unreal and real environments for object recognition D Temel, J Lee, G AlRegib 2018 17th IEEE international conference on machine learning and applications …, 2018 | 109 | 2018 |
| Backpropagated gradient representations for anomaly detection G Kwon, M Prabhushankar, D Temel, G AlRegib Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 79 | 2020 |
| UNIQUE: Unsupervised image quality estimation D Temel, M Prabhushankar, G AlRegib IEEE signal processing letters 23 (10), 1414-1418, 2016 | 50 | 2016 |
| Contrastive explanations in neural networks M Prabhushankar, G Kwon, D Temel, G AlRegib 2020 IEEE International Conference on Image Processing (ICIP), 3289-3293, 2020 | 40 | 2020 |
| Ms-unique: Multi-model and sharpness-weighted unsupervised image quality estimation M Prabhushankar, D Temel, G AlRegib arXiv preprint arXiv:1811.08947, 2018 | 29 | 2018 |
| Novelty detection through model-based characterization of neural networks G Kwon, M Prabhushankar, D Temel, G AlRegib 2020 IEEE International Conference on Image Processing (ICIP), 3179-3183, 2020 | 28 | 2020 |
| Olives dataset: Ophthalmic labels for investigating visual eye semantics M Prabhushankar, K Kokilepersaud, Y Logan, S Trejo Corona, G AlRegib, ... Advances in Neural Information Processing Systems 35, 9201-9216, 2022 | 20 | 2022 |
| Distorted representation space characterization through backpropagated gradients G Kwon, M Prabhushankar, D Temel, G AlRegib 2019 IEEE International Conference on Image Processing (ICIP), 2651-2655, 2019 | 18 | 2019 |
| Introspective learning: A two-stage approach for inference in neural networks M Prabhushankar, G AlRegib Advances in Neural Information Processing Systems 35, 12126-12140, 2022 | 16 | 2022 |
| Extracting causal visual features for limited label classification M Prabhushankar, G AlRegib 2021 IEEE International Conference on Image Processing (ICIP), 3697-3701, 2021 | 15 | 2021 |
| Towards understanding common features between natural and seismic images MA Shafiq, M Prabhushankar, H Di, G AlRegib SEG International Exposition and Annual Meeting, SEG-2018-2996501, 2018 | 15 | 2018 |
| Explanatory paradigms in neural networks: Towards relevant and contextual explanations G AlRegib, M Prabhushankar IEEE Signal Processing Magazine 39 (4), 59-72, 2022 | 14 | 2022 |
| Gradient-based adversarial and out-of-distribution detection J Lee, M Prabhushankar, G AlRegib arXiv preprint arXiv:2206.08255, 2022 | 12 | 2022 |
| Artificial intelligence based vehicle dashboard analysis A Amico, M Prabhushankar US Patent 10,152,641, 2018 | 12 | 2018 |
| Volumetric supervised contrastive learning for seismic semantic segmentation K Kokilepersaud, M Prabhushankar, G AlRegib Second International Meeting for Applied Geoscience & Energy, 1699-1703, 2022 | 11 | 2022 |
| Implicit saliency in deep neural networks Y Sun, M Prabhushankar, G AlRegib 2020 IEEE International Conference on Image Processing (ICIP), 2915-2919, 2020 | 11 | 2020 |
| Clinically labeled contrastive learning for oct biomarker classification K Kokilepersaud, ST Corona, M Prabhushankar, G AlRegib, C Wykoff IEEE Journal of Biomedical and Health Informatics, 2023 | 9 | 2023 |
| Probing the purview of neural networks via gradient analysis J Lee, C Lehman, M Prabhushankar, G AlRegib IEEE Access 11, 32716-32732, 2023 | 8 | 2023 |
| Gradient-based severity labeling for biomarker classification in oct K Kokilepersaud, M Prabhushankar, G AlRegib, ST Corona, C Wykoff 2022 IEEE International Conference on Image Processing (ICIP), 3416-3420, 2022 | 8 | 2022 |
| System, method, and apparatus for detection of damages on surfaces A Amico, M Prabhushankar US Patent 10,255,521, 2019 | 8 | 2019 |
Ghassan AlRegibSchool of Electrical and Computer Engineering, Georgia Tech在 gatech.edu 的电子邮件经过验证
