| RealFusion: 360-degree Reconstruction of Any Object from a Single Image L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 167 | 2023 |
| Pixmatch: Unsupervised domain adaptation via pixelwise consistency training L Melas-Kyriazi, AK Manrai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 116 | 2021 |
| 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 | 112 | 2022 |
| Do you even need attention? A stack of feed-forward layers does surprisingly well on ImageNet L Melas-Kyriazi arXiv preprint arXiv:2105.02723, 2021 | 99 | 2021 |
| Show, edit and tell: A framework for editing image captions F Sammani, L Melas-Kyriazi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 66 | 2020 |
| Training for diversity in image paragraph captioning L Melas-Kyriazi, AM Rush, G Han proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 66 | 2018 |
| Encoder-agnostic adaptation for conditional language generation ZM Ziegler, L Melas-Kyriazi, S Gehrmann, AM Rush arXiv preprint arXiv:1908.06938, 2019 | 53 | 2019 |
| Finding an unsupervised image segmenter in each of your deep generative models L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi International Conference on Learning Representations, 2022 | 46 | 2022 |
| Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models M Suzgun, L Melas-Kyriazi, D Jurafsky Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 36 | 2022 |
| : Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction L Melas-Kyriazi, C Rupprecht, A Vedaldi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 33 | 2023 |
| Prediction of chronological and biological age from laboratory data L Sagers, L Melas-Kyriazi, CJ Patel, AK Manrai Aging (Albany NY) 12 (9), 7626, 2020 | 26 | 2020 |
| The Mathematical Foundations of Manifold Learning L Melas-Kyriazi B.A. Thesis in Mathematics, Harvard University (arXiv:2011.01307), 2020 | 25* | 2020 |
| Follow the wisdom of the crowd: Effective text generation via minimum bayes risk decoding M Suzgun, L Melas-Kyriazi, D Jurafsky ACL Findings 2023, 2022 | 20 | 2022 |
| The Harvard USPTO Patent Dataset: A Large-scale, Well-structured, and Multi-purpose Corpus of Patent Applications M Suzgun, L Melas-Kyriazi, S Sarkar, SD Kominers, S Shieber Advances in Neural Information Processing Systems 36, 2024 | 11 | 2024 |
| Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings L Melas-Kyriazi, G Han, C Liang EMNLP 2019 Workshop on Deep Learning for Low-resource NLP, 2020 | 8 | 2020 |
| A benchmark for learning to translate a new language from one grammar book G Tanzer, M Suzgun, E Visser, D Jurafsky, L Melas-Kyriazi International Conference on Learning Representations, 2024, 2023 | 6 | 2023 |
| Intrinsic gradient compression for scalable and efficient federated learning L Melas-Kyriazi, F Wang Proceedings of the First Workshop on Federated Learning for Natural Language …, 2022 | 5* | 2022 |
| IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation L Melas-Kyriazi, I Laina, C Rupprecht, N Neverova, A Vedaldi, O Gafni, ... arXiv preprint arXiv:2402.08682, 2024 | 4 | 2024 |
| Augmenting medical image classifiers with synthetic data from latent diffusion models LW Sagers, JA Diao, L Melas-Kyriazi, M Groh, P Rajpurkar, AS Adamson, ... arXiv preprint arXiv:2308.12453, 2023 | 3 | 2023 |
| GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering A Hamdi, L Melas-Kyriazi, G Qian, J Mai, R Liu, C Vondrick, B Ghanem, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
Andrea VedaldiUniversity of OxfordVerified email at robots.ox.ac.uk
