| Recurrent convolutional strategies for face manipulation detection in videos E Sabir, J Cheng, A Jaiswal, W AbdAlmageed, I Masi, P Natarajan Interfaces (GUI) 3 (1), 80-87, 2019 | 470 | 2019 |
| CapsuleGAN: Generative Adversarial Capsule Network A Jaiswal, W AbdAlmageed, Y Wu, P Natarajan arXiv preprint arXiv:1802.06167, 2018 | 208 | 2018 |
| Brain tumor segmentation with deep learning V Rao, MS Sarabi, A Jaiswal MICCAI multimodal brain tumor segmentation challenge (BraTS) 59, 1-4, 2015 | 94 | 2015 |
| Unsupervised adversarial invariance A Jaiswal, RY Wu, W Abd-Almageed, P Natarajan Advances in neural information processing systems 31, 2018 | 52 | 2018 |
| Fashionvlp: Vision language transformer for fashion retrieval with feedback S Goenka, Z Zheng, A Jaiswal, R Chada, Y Wu, V Hedau, P Natarajan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 42 | 2022 |
| Style-aware normalized loss for improving arbitrary style transfer J Cheng, A Jaiswal, Y Wu, P Natarajan, P Natarajan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 42 | 2021 |
| Invariant representations through adversarial forgetting A Jaiswal, D Moyer, G Ver Steeg, W AbdAlmageed, P Natarajan Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4272-4279, 2020 | 39 | 2020 |
| Cord19sts: Covid-19 semantic textual similarity dataset X Guo, H Mirzaalian, E Sabir, A Jaiswal, W Abd-Almageed arXiv preprint arXiv:2007.02461, 2020 | 35 | 2020 |
| Bidirectional conditional generative adversarial networks A Jaiswal, W AbdAlmageed, Y Wu, P Natarajan Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 33 | 2019 |
| Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text A Jaiswal, E Sabir, W AbdAlmageed, P Natarajan ACM Multimedia, 1465--1471, 2017 | 31 | 2017 |
| Class-agnostic object detection A Jaiswal, Y Wu, P Natarajan, P Natarajan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 24 | 2021 |
| Autoencoder-derived features as inputs to classification algorithms for predicting well failures J Liu, A Jaiswal, KT Yao, CS Raghavendra SPE Western Regional Meeting, SPE-174015-MS, 2015 | 23 | 2015 |
| Aird: Adversarial learning framework for image repurposing detection A Jaiswal, Y Wu, W AbdAlmageed, I Masi, P Natarajan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 19 | 2019 |
| Ropad: Robust presentation attack detection through unsupervised adversarial invariance A Jaiswal, S Xia, I Masi, W AbdAlmageed 2019 International Conference on Biometrics (ICB), 1-8, 2019 | 18 | 2019 |
| Unified adversarial invariance A Jaiswal, Y Wu, W AbdAlmageed, P Natarajan arXiv preprint arXiv:1905.03629, 2019 | 12 | 2019 |
| Autoencoder-derived features as inputs to classification algorithms for predicting failures JJ Liu, A Jaiswal, KT Yao, CS Raghavendra US Patent App. 15/496,995, 2017 | 12 | 2017 |
| Discovery and separation of features for invariant representation learning A Jaiswal, R Brekelmans, D Moyer, GV Steeg, W AbdAlmageed, ... arXiv preprint arXiv:1912.00646, 2019 | 9 | 2019 |
| Adversarial mask generation for preserving visual privacy A Gupta, A Jaiswal, Y Wu, V Yadav, P Natarajan 2021 16th IEEE International Conference on Automatic Face and Gesture …, 2021 | 8 | 2021 |
| Niesr: Nuisance invariant end-to-end speech recognition I Hsu, A Jaiswal, P Natarajan arXiv preprint arXiv:1907.03233, 2019 | 7 | 2019 |
| Large-scale unsupervised deep representation learning for brain structure A Jaiswal, D Guo, CS Raghavendra, P Thompson arXiv preprint arXiv:1805.01049, 2018 | 5 | 2018 |
Prem NatarajanAmazon (Alexa); University of Southern California, Information Sciences Institute; Fellow, IEEEVerified email at ieee.org
