| The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes G Ros, L Sellart, J Materzynska, D Vazquez, AM Lopez Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 2776 | 2016 |
| The" something something" video database for learning and evaluating visual common sense R Goyal, S Ebrahimi Kahou, V Michalski, J Materzynska, S Westphal, ... Proceedings of the IEEE international conference on computer vision, 5842-5850, 2017 | 1759 | 2017 |
| The jester dataset: A large-scale video dataset of human gestures J Materzynska, G Berger, I Bax, R Memisevic Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 295 | 2019 |
| Erasing concepts from diffusion models R Gandikota, J Materzynska, J Fiotto-Kaufman, D Bau Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 286 | 2023 |
| Something-else: Compositional action recognition with spatial-temporal interaction networks J Materzynska, T Xiao, R Herzig, H Xu, X Wang, T Darrell Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 213 | 2020 |
| Unified concept editing in diffusion models R Gandikota, H Orgad, Y Belinkov, J Materzyńska, D Bau Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 139 | 2024 |
| Disentangling visual and written concepts in CLIP J Materzyńska, A Torralba, D Bau Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 49 | 2022 |
| Concept sliders: Lora adaptors for precise control in diffusion models R Gandikota, J Materzyńska, T Zhou, A Torralba, D Bau European Conference on Computer Vision, 172-188, 2024 | 40 | 2024 |
| Consent in crisis: The rapid decline of the ai data commons S Longpre, R Mahari, A Lee, C Lund, H Oderinwale, W Brannon, ... NEURIPS, 2024 | 25 | 2024 |
| Find: A function description benchmark for evaluating interpretability methods S Schwettmann, T Shaham, J Materzynska, N Chowdhury, S Li, J Andreas, ... Advances in Neural Information Processing Systems 36, 2024 | 19 | 2024 |
| Customizing motion in text-to-video diffusion models J Materzynska, J Sivic, E Shechtman, A Torralba, R Zhang, B Russell arXiv preprint arXiv:2312.04966, 2023 | 18 | 2023 |
| Lopez Antonio M R German, S Laura, M Joanna, V David The synthia dataset: A large collection of synthetic images for semantic …, 2016 | 10 | 2016 |
| Building a Gesture Recognition System using Deep Learning J Materzynska PyData Warsaw, 2017 | 2 | 2017 |
| A Function Interpretation Benchmark for Evaluating Interpretability Methods S Schwettmann, TR Shaham, J Materzynska, N Chowdhury, S Li, ... arXiv preprint arXiv:2309.03886, 2023 | 1 | 2023 |
| Bridging the Data Provenance Gap Across Text, Speech and Video S Longpre, N Singh, M Cherep, K Tiwary, J Materzynska, W Brannon, ... arXiv preprint arXiv:2412.17847, 2024 | | 2024 |
| Art-Free Generative Models: Art Creation Without Graphic Art Knowledge H Ren, J Materzynska, R Gandikota, D Bau, A Torralba arXiv preprint arXiv:2412.00176, 2024 | | 2024 |
| AirLetters: An Open Video Dataset of Characters Drawn in the Air R Dagli, G Berger, J Materzynska, I Bax, R Memisevic arXiv preprint arXiv:2410.02921, 2024 | | 2024 |
| NewMove: Customizing text-to-video models with novel motions J Materzyńska, J Sivic, E Shechtman, A Torralba, R Zhang, B Russell Proceedings of the Asian Conference on Computer Vision, 1634-1651, 2024 | | 2024 |
| Supplementary Material for NewMove: Customizing text-to-video models with novel motions J Materzynska, J Sivic, E Shechtman, A Torralba, R Zhang, B Russell | | |
| Art-Free Generative Models: Exploring Art Creation Without Prior Artistic Knowledge H Ren, J Materzynska, R Gandikota, D Bau, A Torralba | | |
Roland MemisevicQualcomm AI ResearchVerified email at qti.qualcomm.com
