| 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 | 1904 | 2022 |
| The Liver Tumor Segmentation Benchmark (LITS) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1881 | 2023 |
| Covid-19 Image Data Collection: Prospective Predictions are the Future JP Cohen, P Morrison, L Dao, K Roth, TQ Doung, M Ghassemi Journal of Machine Learning for Biomedical Imaging (MELBA), 2020 | 1090* | 2020 |
| Predicting Covid-19 Pneumonia Severity on Chest X-Ray with Deep Learning JP Cohen, L Dao, K Roth, P Morrison, Y Bengio, AF Abbasi, B Shen, ... Cureus 12 (7), 2020 | 305 | 2020 |
| Revisiting Training Strategies and Generalization Performance in Deep Metric Learning K Roth*, T Milbich*, S Sinha, P Gupta, B Ommer, JP Cohen International Conference on Machine Learning 2020, 2020 | 232 | 2020 |
| Waffling around for Performance: Visual Classification with Random Words and Broad Concepts K Roth*, JM Kim*, A Koepke, O Vinyals, C Schmid, Z Akata International Conference on Computer Vision (ICCV), 2023, 2023 | 129 | 2023 |
| MIC: Mining Interclass Characteristics for Improved Metric Learning K Roth*, B Brattoli*, B Ommer Proceedings of the IEEE International Conference on Computer Vision, 8000-8009, 2019 | 128 | 2019 |
| Improving the Fairness of Chest X-Ray Classifiers H Zhang, N Dullerud, K Roth, L Oakden-Rayner, S Pfohl, M Ghassemi Conference on Health, Inference, and Learning, 204-233, 2022 | 113 | 2022 |
| Vision-by-Language for Training-Free Compositional Image Retrieval S Karthik*, K Roth*, M Mancini, Z Akata The Twelth International Conference on Learning Representations (ICLR), 2024, 2023 | 112 | 2023 |
| DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning T Milbich*, K Roth*, H Bharadhwaj, S Sinha, Y Bengio, B Ommer, ... European Conference on Computer Vision 2020, 2020 | 88 | 2020 |
| Efficient Preparation and Detection of Microwave Dressed-state Qubits and Qutrits with Trapped Ions J Randall, S Weidt, ED Standing, K Lake, SC Webster, DF Murgia, ... Physical Review A 91 (1), 012322, 2015 | 78 | 2015 |
| Non-isotropy Regularization for Proxy-based Deep Metric Learning K Roth, O Vinyals, Z Akata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 68 | 2022 |
| Simultaneous Similarity-based Self-Distillation for Deep Metric Learning K Roth, T Milbich, B Ommer, JP Cohen, M Ghassemi International Conference on Machine Learning, 9095-9106, 2021 | 63 | 2021 |
| PADS: Policy-adapted Sampling for Visual Similarity Learning K Roth*, T Milbich*, B Ommer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 63 | 2020 |
| Reno: Enhancing one-step text-to-image models through reward-based noise optimization L Eyring, S Karthik, K Roth, A Dosovitskiy, Z Akata Advances in Neural Information Processing Systems 37, 125487-125519, 2024 | 61 | 2024 |
| Disentanglement of Correlated Factors via Hausdorff Factorized Support K Roth, M Ibrahim, Z Akata, P Vincent, D Bouchacourt The Eleventh International Conference on Learning Representations (ICLR), 2023, 2023 | 50 | 2023 |
| Temporal control of the integrated stress response by a stochastic molecular switch P Klein, SM Kallenberger, H Roth, K Roth, TBN Ly-Hartig, V Magg, J Aleš, ... Science Advances 8 (12), eabk2022, 2022 | 48 | 2022 |
| Integrating Language Guidance into Vision-based Deep Metric Learning K Roth, O Vinyals, Z Akata Oral @ Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 45 | 2022 |
| If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection S Karthik*, K Roth*, M Mancini, Z Akata arXiv preprint arXiv:2305.13308, 2023 | 33 | 2023 |
| Nailfold capillaroscopy and deep learning in diabetes R Shah, J Petch, W Nelson, K Roth, MD Noseworthy, M Ghassemi, ... Journal of Diabetes 15 (2), 145-151, 2023 | 32 | 2023 |
Zeynep AkataProfessor at Technical University of Munich and Director at Helmholtz MunichVerified email at helmholtz-munich.de
