| Building Rome in a day S Agarwal, N Snavely, I Simon, SM Seitz, R Szeliski Computer Vision, 2009 IEEE 12th International Conference on, 72-79, 2009 | 2899 | 2009 |
| Enabling factorized piano music modeling and generation with the MAESTRO dataset C Hawthorne, A Stasyuk, A Roberts, I Simon, CZA Huang, S Dieleman, ... arXiv preprint arXiv:1810.12247, 2018 | 591 | 2018 |
| Scene summarization for online image collections I Simon, N Snavely, SM Seitz 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 462 | 2007 |
| Onsets and Frames: Dual-objective piano transcription C Hawthorne, E Elsen, J Song, A Roberts, I Simon, C Raffel, J Engel, ... arXiv preprint arXiv:1710.11153, 2017 | 378 | 2017 |
| This time with feeling: Learning expressive musical performance S Oore, I Simon, S Dieleman, D Eck, K Simonyan Neural Computing and Applications, 1-13, 2018 | 290 | 2018 |
| MySong: Automatic accompaniment generation for vocal melodies I Simon, D Morris, S Basu Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2008 | 266 | 2008 |
| Symbolic music generation with diffusion models G Mittal, J Engel, C Hawthorne, I Simon arXiv preprint arXiv:2103.16091, 2021 | 210 | 2021 |
| Scene reconstruction and visualization from community photo collections N Snavely, I Simon, M Goesele, R Szeliski, SM Seitz Proceedings of the IEEE 98 (8), 1370-1390, 2010 | 200 | 2010 |
| Automatic accompaniment for vocal melodies D Morris, S Basu, I Simon US Patent 7,985,917, 2011 | 152 | 2011 |
| Performance RNN: Generating music with expressive timing and dynamics I Simon, S Oore | 134 | 2017 |
| Encoding musical style with Transformer autoencoders K Choi, C Hawthorne, I Simon, M Dinculescu, J Engel arXiv preprint arXiv:1912.05537, 2019 | 124 | 2019 |
| MT3: Multi-task multitrack music transcription J Gardner, I Simon, E Manilow, C Hawthorne, J Engel arXiv preprint arXiv:2111.03017, 2021 | 109 | 2021 |
| Sequence-to-sequence piano transcription with Transformers C Hawthorne, I Simon, R Swavely, E Manilow, J Engel arXiv preprint arXiv:2107.09142, 2021 | 105 | 2021 |
| Facilitating recognition of real-time content K Koishida, TC Butcher, IS Simon US Patent App. 13/709,816, 2014 | 74 | 2014 |
| General-purpose, long-context autoregressive modeling with Perceiver AR C Hawthorne, A Jaegle, C Cangea, S Borgeaud, C Nash, M Malinowski, ... International Conference on Machine Learning, 8535-8558, 2022 | 71 | 2022 |
| Audiovisual capture and sharing framework with coordinated user-selectable audio and video effects filters PP Chordia, PR Cook, MT Godfrey, P Gupta, NM Kruge, RJ Leistikow, ... US Patent 9,459,768, 2016 | 71* | 2016 |
| Learning a latent space of multitrack measures I Simon, A Roberts, C Raffel, J Engel, C Hawthorne, D Eck arXiv preprint arXiv:1806.00195, 2018 | 70 | 2018 |
| Multi-instrument music synthesis with spectrogram diffusion C Hawthorne, I Simon, A Roberts, N Zeghidour, J Gardner, E Manilow, ... arXiv preprint arXiv:2206.05408, 2022 | 66 | 2022 |
| Singsong: Generating musical accompaniments from singing C Donahue, A Caillon, A Roberts, E Manilow, P Esling, A Agostinelli, ... arXiv preprint arXiv:2301.12662, 2023 | 57 | 2023 |
| Scene segmentation using the wisdom of crowds I Simon, SM Seitz Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 56 | 2008 |
Jesse H. EngelGoogle DeepMindПідтверджена електронна адреса в google.com