| Enhancenet: Single image super-resolution through automated texture synthesis MSM Sajjadi, B Schölkopf, M Hirsch IEEE International Conference on Computer Vision (ICCV), 4501-4510, 2017 | 1099 | 2017 |
| Regularization with stochastic transformations and perturbations for deep semi-supervised learning M Sajjadi, M Javanmardi, T Tasdizen Advances in neural information processing systems 29, 2016 | 1037 | 2016 |
| NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections R Martin-Brualla*, N Radwan*, MSM Sajjadi*, JT Barron, A Dosovitskiy, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 868 | 2021 |
| Frame-Recurrent Video Super-Resolution MSM Sajjadi, R Vemulapalli, M Brown IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 519 | 2018 |
| Assessing Generative Models via Precision and Recall MSM Sajjadi, O Bachem, M Lucic, O Bousquet, S Gelly Conference on Neural Information Processing Systems (NeurIPS), 2018 | 458 | 2018 |
| Palm-e: An embodied multimodal language model D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ... International Conference on Machine Learning (ICML), 2023 | 411 | 2023 |
| From Variational to Deterministic Autoencoders P Ghosh*, MSM Sajjadi*, A Vergari, MJ Black, B Schölkopf International Conference on Learning Representations (ICLR), 2020 | 277 | 2020 |
| RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs M Niemeyer, JT Barron, B Mildenhall, MSM Sajjadi, A Geiger, N Radwan IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 242 | 2022 |
| Spatio-Temporal Transformer Network for Video Restoration T Hyun Kim, MSM Sajjadi, M Hirsch, B Scholkopf Proceedings of the European Conference on Computer Vision (ECCV), 106-122, 2018 | 152 | 2018 |
| Image segmentation with cascaded hierarchical models and logistic disjunctive normal networks M Seyedhosseini, M Sajjadi, T Tasdizen Proceedings of the IEEE international conference on computer vision, 2168-2175, 2013 | 115 | 2013 |
| Mutual exclusivity loss for semi-supervised deep learning M Sajjadi, M Javanmardi, T Tasdizen 2016 IEEE International Conference on Image Processing (ICIP), 1908-1912, 2016 | 89 | 2016 |
| Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations MSM Sajjadi, H Meyer, E Pot, U Bergmann, K Greff, N Radwan, S Vora, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 81 | 2022 |
| Kubric: A scalable dataset generator K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 72 | 2022 |
| Neighbourhood looking glass: 360º automated characterisation of the built environment for neighbourhood effects research QC Nguyen, M Sajjadi, M McCullough, M Pham, TT Nguyen, W Yu, ... J Epidemiol Community Health 72 (3), 260-266, 2018 | 54 | 2018 |
| NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes S Vora, N Radwan, K Greff, H Meyer, K Genova, MSM Sajjadi, E Pot, ... Transactions on Machine Learning Research (TMLR), 2022 | 53 | 2022 |
| Object Scene Representation Transformer MSM Sajjadi, D Duckworth, A Mahendran, S van Steenkiste, F Pavetić, ... Conference on Neural Information Processing Systems (NeurIPS), 2022 | 48 | 2022 |
| Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines MSM Sajjadi, M Alamgir, U von Luxburg Proceedings of the Third (2016) ACM Conference on Learning@ Scale, 369-378, 2016 | 46 | 2016 |
| Photorealistic Video Super Resolution E Pérez-Pellitero, MSM Sajjadi, M Hirsch, B Schölkopf ECCV Workshop PIRM, 2018 | 32* | 2018 |
| Tempered Adversarial Networks MSM Sajjadi, G Parascandolo, A Mehrjou, B Schölkopf International Conference on Machine Learning (ICML), 2018 | 29 | 2018 |
| Unsupervised total variation loss for semi-supervised deep learning of semantic segmentation M Javanmardi, M Sajjadi, T Liu, T Tasdizen arXiv preprint arXiv:1605.01368, 2016 | 15 | 2016 |
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
