| The norm must go on: Dynamic unsupervised domain adaptation by normalization MJ Mirza, J Micorek, H Possegger, H Bischof Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 69 | 2022 |
| An efficient domain-incremental learning approach to drive in all weather conditions MJ Mirza, M Masana, H Possegger, H Bischof Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 45 | 2022 |
| Robustness of object detectors in degrading weather conditions MJ Mirza, C Buerkle, J Jarquin, M Opitz, F Oboril, KU Scholl, H Bischof IEEE International Intelligent Transportation Systems Conference (ITSC), 2021 | 31 | 2021 |
| Video test-time adaptation for action recognition W Lin, MJ Mirza, M Kozinski, H Possegger, H Kuehne, H Bischof Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 19 | 2023 |
| Actmad: Activation matching to align distributions for test-time-training MJ Mirza, PJ Soneira, W Lin, M Kozinski, H Possegger, H Bischof Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections MJ Mirza, L Karlinsky, W Lin, M Kozinski, H Possegger, R Feris, H Bischof Conference on Neural Information Processing Systems (NeurIPS 2023), 2023 | 11 | 2023 |
| Mate: Masked autoencoders are online 3d test-time learners MJ Mirza, I Shin, W Lin, A Schriebl, K Sun, J Choe, M Kozinski, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification MJ Mirza, L Karlinsky, W Lin, H Possegger, R Feris, H Bischof arXiv preprint arXiv:2309.06809, 2023 | 2 | 2023 |
| Test-time adversarial detection and robustness for localizing humans using ultra wide band channel impulse responses A Kolli, MJ Mirza, H Possegger, H Bischof 2023 31st European Signal Processing Conference (EUSIPCO), 1365-1369, 2023 | 1 | 2023 |
| Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions S Leitner, MJ Mirza, W Lin, J Micorek, M Masana, M Kozinski, ... IEEE Intelligent Vehicle Symposium, 2023 | 1 | 2023 |
| Towards Multimodal In-Context Learning for Vision & Language Models S Doveh, S Perek, MJ Mirza, A Alfassy, A Arbelle, S Ullman, L Karlinsky arXiv preprint arXiv:2403.12736, 2024 | | 2024 |
| Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs MJ Mirza, L Karlinsky, W Lin, S Doveh, J Micorek, M Kozinski, H Kuhene, ... arXiv preprint arXiv:2403.11755, 2024 | | 2024 |
| TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models L Weijler, MJ Mirza, L Sick, C Ekkazan, P Hermosilla arXiv preprint arXiv:2403.11691, 2024 | | 2024 |
| Are Vision Language Models Texture or Shape Biased and Can We Steer Them? P Gavrikov, J Lukasik, S Jung, R Geirhos, B Lamm, MJ Mirza, M Keuper, ... arXiv preprint arXiv:2403.09193, 2024 | | 2024 |
| LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections Supplementary Material MJ Mirza, L Karlinsky, W Lin, M Kozinski, H Possegger, R Feris, H Bischof | | |
Horst BischofGraz University of TechnologyVerified email at icg.tugraz.at
