| Predict & cluster: Unsupervised skeleton based action recognition K Su, X Liu, E Shlizerman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 188 | 2020 |
| Audeo: Audio generation for a silent performance video K Su, X Liu, E Shlizerman 34th Conference on Neural Information Processing Systems (NeurIPS 2020 …, 2020 | 53 | 2020 |
| Incremental learning meets transfer learning: Application to multi-site prostate mri segmentation C You, J Xiang, K Su, X Zhang, S Dong, J Onofrey, L Staib, JS Duncan International Workshop on Distributed, Collaborative, and Federated Learning …, 2022 | 32 | 2022 |
| Multi-instrumentalist net: Unsupervised generation of music from body movements K Su, X Liu, E Shlizerman arXiv preprint arXiv:2012.03478, 2020 | 20 | 2020 |
| How does it sound? K Su, X Liu, E Shlizerman Advances in Neural Information Processing Systems 34, 29258-29273, 2021 | 17 | 2021 |
| Clustering and recognition of spatiotemporal features through interpretable embedding of sequence to sequence recurrent neural networks K Su, E Shlizerman Frontiers in artificial intelligence 3, 70, 2020 | 11 | 2020 |
| Parameter identification of spatial–temporal varying processes by a multi-robot system in realistic diffusion fields W Wu, J You, Y Zhang, M Li, K Su Robotica 39 (5), 842-861, 2021 | 10 | 2021 |
| Inras: Implicit neural representation for audio scenes K Su, M Chen, E Shlizerman Advances in Neural Information Processing Systems 35, 8144-8158, 2022 | 9 | 2022 |
| Bi-maml: Balanced incremental approach for meta learning Y Zheng, J Xiang, K Su, E Shlizerman arXiv preprint arXiv:2006.07412, 2020 | 9 | 2020 |
| Physics-driven diffusion models for impact sound synthesis from videos K Su, K Qian, E Shlizerman, A Torralba, C Gan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Cooperative parameter identification of advection-diffusion processes using a mobile sensor network J You, Y Zhang, M Li, K Su, F Zhang, W Wu 2017 American Control Conference (ACC), 3230-3236, 2017 | 7 | 2017 |
| V2Meow: Meowing to the Visual Beat via Music Generation K Su, JY Li, Q Huang, D Kuzmin, J Lee, C Donahue, F Sha, A Jansen, ... arXiv preprint arXiv:2305.06594, 2023 | 4 | 2023 |
| How does it sound? generation of rhythmic soundtracks for human movement videos K Su, X Liu, E Shlizerman Conf. Neural Inf. Process. Syst 35, 0-10, 2021 | 4 | 2021 |
| Be Everywhere-Hear Everything (BEE): Audio Scene Reconstruction by Sparse Audio-Visual Samples M Chen, K Su, E Shlizerman Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Dimension reduction approach for interpretability of sequence to sequence recurrent neural networks K Su, E Shlizerman arXiv preprint arXiv:1905.12176, 2019 | 2 | 2019 |
| Experimental validation of diffusion coefficient identification using a multi-robot system M Li, K Su, Y Zhang, J You, W Wu 2016 IEEE MIT Undergraduate Research Technology Conference (URTC), 1-4, 2016 | 1 | 2016 |
| V2Meow: Meowing to the Visual Beat via Video-to-Music Generation K Su, JY Li, Q Huang, D Kuzmin, J Lee, C Donahue, F Sha, A Jansen, ... | | 2024 |
| Let the Beat Follow You-Creating Interactive Drum Sounds From Body Rhythm X Liu, K Su, E Shlizerman Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
