| Semi-Supervised Semantic Segmentation with High-and Low-level Consistency S Mittal, M Tatarchenko, T Brox 2019 IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 368 | 2019 |
| Essentials for Class Incremental Learning S Mittal, S Galesso, T Brox CVPR Workshop (Continual Learning), 2021 | 103 | 2021 |
| Parting with Illusions about Deep Active Learning S Mittal, M Tatarchenko, Ö Çiçek, T Brox arXiv preprint arXiv:1912.05361, 2019 | 49 | 2019 |
| Open-vocabulary attribute detection MA Bravo, S Mittal, S Ging, T Brox Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Localized Vision-Language Matching for Open-vocabulary Object Detection M A Bravo, S Mittal, T Brox German Conference on Pattern Recognition 2022, 2022 | 18 | 2022 |
| Rolling shutter and motion blur removal for depth cameras S Tourani, S Mittal, A Nagariya, V Chari, M Krishna 2016 IEEE international conference on robotics and automation (ICRA), 5098-5105, 2016 | 15 | 2016 |
| Best Practices in Active Learning for Semantic Segmentation S Mittal, J Niemeijer, JP Schäfer, T Brox German Conference on Pattern Recognition (GCPR), 2023 | 11* | 2023 |
| Small object discovery and recognition using actively guided robot S Mittal, MS Karthik, S Kumar, KM Krishna 2014 22nd International Conference on Pattern Recognition, 4334-4339, 2014 | 9 | 2014 |
| Semi-supervised Learning for Real-world Object Recognition using Adversarial Autoencoders S Mittal | 1 | 2017 |
| Guess from Far, Recognize when Near: Searching the Floor for Small Objects MS Karthik, S Mittal, KM Krishna Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, 2014 | 1 | 2014 |
| Towards efficient deep learning for computer vision S Mittal Dissertation, Universität Freiburg, 2023, 2023 | | 2023 |
Thomas BroxUniversity of Freiburg在 cs.uni-freiburg.de 的电子邮件经过验证
