| Towards total recall in industrial anomaly detection K Roth, L Pemula, J Zepeda, B Schölkopf, T Brox, P Gehler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 542 | 2022 |
| Spot-the-difference self-supervised pre-training for anomaly detection and segmentation Y Zou, J Jeong, L Pemula, D Zhang, O Dabeer European Conference on Computer Vision, 392-408, 2022 | 107 | 2022 |
| Radio transformer networks: Attention models for learning to synchronize in wireless systems TJ O'Shea, L Pemula, D Batra, TC Clancy 2016 50th Asilomar Conference on Signals, Systems and Computers, 662-666, 2016 | 93 | 2016 |
| Towards total recall in industrial anomaly detection. arXiv 2021 K Roth, L Pemula, J Zepeda, B Schölkopf, T Brox, P Gehler arXiv preprint arXiv:2106.08265, 0 | 5 | |
| Low-shot visual recognition L Pemula Virginia Tech, 2016 | 3 | 2016 |
