| 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 | 107 | 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 |
| Masked vision and language modeling for multi-modal representation learning G Kwon, Z Cai, A Ravichandran, E Bas, R Bhotika, S Soatto arXiv preprint arXiv:2208.02131, 2022 | 46 | 2022 |
| X-detr: A versatile architecture for instance-wise vision-language tasks Z Cai, G Kwon, A Ravichandran, E Bas, Z Tu, R Bhotika, S Soatto European Conference on Computer Vision, 290-308, 2022 | 43 | 2022 |
| 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 |
| 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 |
| A gating model for bias calibration in generalized zero-shot learning G Kwon, G Al Regib IEEE Transactions on Image Processing, 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 |
| Patient aware active learning for fine-grained oct classification Y Logan, R Benkert, A Mustafa, G AlRegib 2022 IEEE International Conference on Image Processing (ICIP), 3908-3912, 2022 | 11 | 2022 |
| Power of tempospatially unified spectral density for perceptual video quality assessment MA Aabed, G Kwon, G AlRegib 2017 IEEE International Conference on Multimedia and Expo (ICME), 1476-1481, 2017 | 10 | 2017 |
| Multi-modal learning using physicians diagnostics for optical coherence tomography classification Y Logan, K Kokilepersaud, G Kwon, G AlRegib, C Wykoff, H Yu 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 7 | 2022 |
| Semantically interpretable and controllable filter sets M Prabhushankar, G Kwon, D Temel, G AIRegib 2018 25th IEEE International Conference on Image Processing (ICIP), 1053-1057, 2018 | 5 | 2018 |
| Detecting and Classifying Anomalies in Artificial Intelligence Systems G AlRegib, G Kwon, M Prabhushankar, D Temel US Patent App. 17/633,878, 2022 | 1 | 2022 |
| Variance of gradient based active learning framework for training perception algorithms A Parchami, G AlRegib, D Temel, M Prabhushankar, G Kwon US Patent App. 17/172,854, 2022 | | 2022 |
| Learning Representations Toward the Understanding of Out-of-Distribution for Neural Networks. G Kwon Georgia Institute of Technology, Atlanta, GA, USA, 2021 | | 2021 |
| Leveraging Adversarial Examples to Obtain Robust Second-Order Representations M Prabhushankar, G Kwon, D Temel, G AlRegib | | |
| Characterizing Missing Information in Deep Networks Using Backpropagated Gradients G Kwon, M Prabhushankar, D Temel, G AlRegib | | |
Ghassan AlRegibSchool of Electrical and Computer Engineering, Georgia Tech在 gatech.edu 的电子邮件经过验证
