| Continual learning in low-rank orthogonal subspaces A Chaudhry, N Khan, P Dokania, P Torr Advances in Neural Information Processing Systems 33, 9900-9911, 2020 | 78 | 2020 |
| Deformrs: Certifying input deformations with randomized smoothing M Alfarra, A Bibi, N Khan, PHS Torr, B Ghanem Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6001-6009, 2022 | 20 | 2022 |
| Shape-Tailored Local Descriptors and their Application to Segmentation and Tracking N khan, M Algarni, A Yezzi, G Sundaramoorthi CVPR 2015, 2015 | 17 | 2015 |
| Coarse-to-fine segmentation with shape-tailored continuum scale spaces N Khan, BW Hong, A Yezzi, G Sundaramoorthi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 10 | 2017 |
| Learned shape-tailored descriptors for segmentation N Khan, G Sundaramoorthi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 7 | 2018 |
| Have We Solved Edge Detection? A Review of State-of-the-art Datasets and DNN based Techniques M Mubashar, N Khan, AR Sajid, MH Javed, NUL Hassan IEEE Access, 2022 | 4 | 2022 |
| Class-agnostic segmentation loss and its application to salient object detection and segmentation A Sharma, N Khan, M Mubashar, G Sundaramoorthi, P Torr Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 3 | 2021 |
| Shape-Tailored Invariant Descriptors for Segmentation N Khan | 1 | 2018 |
| Shape-Tailored Features and their Application to Texture Segmentation N Khan King Abdullah University of Science and Technology., 2014 | 1 | 2014 |
| Shape-tailored deep neural networks with PDEs N Khan, A Sharma, PHS Torr, G Sundaramoorhti Neural Information Processing Systems Foundation, 2021 | | 2021 |
| Detecting and Quantifying Malicious Activity with Simulation-based Inference A Gambardella, B State, N Khan, L Tsourides, PHS Torr, AG Baydin arXiv preprint arXiv:2110.02483, 2021 | | 2021 |
| Shape-Tailored Deep Neural Networks N Khan, A Sharma, G Sundaramoorthi, PHS Torr arXiv preprint arXiv:2102.08497, 2021 | | 2021 |
| Machine Learning-Intermediate Level Group B 1/4 N Khan | | 2021 |
| Machine Learning For Beginners Group B 1/4 N Khan | | 2021 |
| Shape-Tailored Deep Neural Networks Using PDEs for Segmentation N Khan, A Sharma, P Torr, G Sundaramoorthi | | 2020 |
| Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces G Sundaramoorthi, N Khan, BW Hong arXiv preprint arXiv:1603.07745, 2016 | | 2016 |
| QoS improvement strategies for macrocell edge users using femtocells N Khan, NU Hassan 2012 International Conference on Emerging Technologies, 1-5, 2012 | | 2012 |
| Supplementary Material: Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation A Sharma, N Khan, M Mubashar, G Sundaramoorthi, P Torr | | |
| Supplementary Material: Coarse-to-Fine Segmentation With Shape-Tailored Continuum Scale Spaces N Khan, BW Hong, A Yezzi, G Sundaramoorthi | | |
| Supplementary Material: Shape-Tailored Local Descriptors and their Application to Segmentation and Tracking N Khan, M Algarni, A Yezzi, G Sundaramoorthi | | |
Philip TorrProfessor, University of OxfordE-mailová adresa ověřena na: eng.ox.ac.uk
