| Deeper Depth Prediction with Fully Convolutional Residual Networks I Laina, C Rupprecht, V Belagiannis, F Tombari, N Navab 3D Vision (3DV), 2016 Fourth International Conference on, 239-248, 2016 | 2037 | 2016 |
| CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction K Tateno, F Tombari, I Laina, N Navab Computer Vision and Pattern Recognition (CVPR), 2017, 6243-6252, 2017 | 816 | 2017 |
| Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses C Rupprecht, I Laina, R DiPietro, M Baust, F Tombari, GD Hager, N Navab International Conference on Computer Vision (ICCV) 2017, 2016 | 183 | 2016 |
| Concurrent segmentation and localization for tracking of surgical instruments I Laina, N Rieke, C Rupprecht, JP Vizcaíno, A Eslami, F Tombari, ... International conference on medical image computing and computer-assisted …, 2017 | 173 | 2017 |
| 2017 robotic instrument segmentation challenge M Allan, A Shvets, T Kurmann, Z Zhang, R Duggal, YH Su, N Rieke, ... arXiv preprint arXiv:1902.06426, 2019 | 122 | 2019 |
| Semantic image manipulation using scene graphs H Dhamo, A Farshad, I Laina, N Navab, GD Hager, F Tombari, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 105 | 2020 |
| Towards unsupervised image captioning with shared multimodal embeddings I Laina, C Rupprecht, N Navab Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 94 | 2019 |
| Deep spectral methods: A surprisingly strong baseline for unsupervised semantic segmentation and localization L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 86 | 2022 |
| Neural feature fusion fields: 3D distillation of self-supervised 2D image representations V Tschernezki, I Laina, D Larlus, A Vedaldi 3DV 2022, 2022 | 64 | 2022 |
| RealFusion: 360° Reconstruction of Any Object from a Single Image L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi CVPR 2023, arXiv: 2302.10663, 2023 | 59* | 2023 |
| Peeking behind objects: Layered depth prediction from a single image H Dhamo, K Tateno, I Laina, N Navab, F Tombari Pattern Recognition Letters 125, 333-340, 2019 | 59 | 2019 |
| Clevrtex: A texture-rich benchmark for unsupervised multi-object segmentation L Karazija, I Laina, C Rupprecht arXiv preprint arXiv:2111.10265, 2021 | 48 | 2021 |
| Finding an unsupervised image segmenter in each of your deep generative models L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi arXiv preprint arXiv:2105.08127, 2021 | 44 | 2021 |
| Unsupervised part discovery from contrastive reconstruction S Choudhury, I Laina, C Rupprecht, A Vedaldi Advances in Neural Information Processing Systems 34, 28104-28118, 2021 | 40 | 2021 |
| Guide Me: Interacting with Deep Networks C Rupprecht, I Laina, N Navab, GD Hager, F Tombari Computer Vision and Pattern Recognition (CVPR), 2018, 2018 | 38 | 2018 |
| Training-free layout control with cross-attention guidance M Chen, I Laina, A Vedaldi arXiv preprint arXiv:2304.03373, 2023 | 22 | 2023 |
| Guess what moves: unsupervised video and image segmentation by anticipating motion S Choudhury, L Karazija, I Laina, A Vedaldi, C Rupprecht BMVC 2022, arXiv preprint arXiv:2205.07844, 2022 | 19 | 2022 |
| Dealing with Ambiguity in Robotic Grasping via Multiple Predictions G Ghazaei, I Laina, C Rupprecht, F Tombari, N Navab, K Nazarpour Asian Conference on Computer Vision (ACCV) 2018, 2018 | 19 | 2018 |
| Diffusion Models for Zero-Shot Open-Vocabulary Segmentation L Karazija, I Laina, A Vedaldi, C Rupprecht arXiv preprint arXiv:2306.09316, 2023 | 12 | 2023 |
| Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning I Laina, RC Fong, A Vedaldi Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020 | 12 | 2020 |
Christian RupprechtUniversity of OxfordVerified email at robots.ox.ac.uk
