| Understanding deep image representations by inverting them A Mahendran, A Vedaldi Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1411 | 2015 |
| Visualizing deep convolutional neural networks using natural pre-images A Mahendran, A Vedaldi International Journal of Computer Vision 120 (3), 233-255, 2016 | 351 | 2016 |
| Salient deconvolutional networks A Mahendran, A Vedaldi European Conference on Computer Vision, 120-135, 2016 | 85 | 2016 |
| Object-centric learning with slot attention F Locatello, D Weissenborn, T Unterthiner, A Mahendran, G Heigold, ... arXiv preprint arXiv:2006.15055, 2020 | 48 | 2020 |
| Cross pixel optical-flow similarity for self-supervised learning A Mahendran, J Thewlis, A Vedaldi Asian Conference on Computer Vision, 99-116, 2018 | 34 | 2018 |
| Self-supervised learning of video-induced visual invariances M Tschannen, J Djolonga, M Ritter, A Mahendran, N Houlsby, S Gelly, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 29 | 2020 |
| Heterogeneous UGV-MAV exploration using integer programming A Dewan, A Mahendran, N Soni, KM Krishna Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International …, 2013 | 25 | 2013 |
| Researchdoom and cocodoom: Learning computer vision with games A Mahendran, H Bilen, JF Henriques, A Vedaldi arXiv preprint arXiv:1610.02431, 2016 | 16 | 2016 |
| UGV-MAV collaboration for augmented 2d maps A Mahendran, A Dewan, N Soni, KM Krishna Proceedings of Conference on Advances In Robotics, 1-6, 2013 | 6 | 2013 |
| Bus detection for adaptive traffic signal control A Mahendran, M Hebert, S Smith, XF Xie Carnegie-Mellon University, 2014 | 4 | 2014 |
| Optimization Based coordinated uGV-MAV exploration for 2D augmented mapping A Dewan, A Mahendran, N Soni, KM Krishna Proceedings of the 2013 international conference on Autonomous agents and …, 2013 | 4 | 2013 |
| Self-supervised segmentation by grouping optical-flow A Mahendran, J Thewlis, A Vedaldi Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 3 | 2018 |
| Differentiable Patch Selection for Image Recognition JB Cordonnier, A Mahendran, A Dosovitskiy, D Weissenborn, J Uszkoreit, ... arXiv preprint arXiv:2104.03059, 2021 | 2 | 2021 |
| Exploiting domain constraints for exemplar based bus detection for traffic scheduling A Mahendran, M Hebert, S Smith 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 1 | 2014 |
| Exploiting Domain Constraints for Bus Detection at Road Traffic Intersections A Mahendran MS thesis, Robotics Inst., Carnegie Mellon Univ, 2013 | 1 | 2013 |
| Representation learning from videos in-the-wild: An object-centric approach R Romijnders, A Mahendran, M Tschannen, J Djolonga, M Ritter, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | | 2021 |
| Self-supervised learning using motion and visualizing convolutional neural networks A Mahendran University of Oxford, 2018 | | 2018 |
| Supplementary Material for Object-Centric Learning with Slot Attention F Locatello, D Weissenborn, T Unterthiner, A Mahendran, G Heigold, ... | | |
| Supplementary: Self-Supervised Learning of Video-Induced Visual Invariances MTJDM Ritter, A Mahendran, NHSGM Lucic | | |
Andrea VedaldiUniversity of OxfordVerified email at robots.ox.ac.uk
