| 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 | 299 | 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 | 96 | 2022 |
| Audeo: Audio generation for a silent performance video K Su, X Liu, E Shlizerman Advances in Neural Information Processing Systems 33, 3325-3337, 2020 | 87 | 2020 |
| Inras: Implicit neural representation for audio scenes K Su, M Chen, E Shlizerman Advances in Neural Information Processing Systems 35, 8144-8158, 2022 | 77 | 2022 |
| How does it sound? K Su, X Liu, E Shlizerman Advances in Neural Information Processing Systems 34, 29258-29273, 2021 | 49 | 2021 |
| 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, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), 4952-4960, 2024 | 46 | 2024 |
| 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 | 44 | 2023 |
| Multi-instrumentalist net: Unsupervised generation of music from body movements K Su, X Liu, E Shlizerman arXiv preprint arXiv:2012.03478, 2020 | 37 | 2020 |
| Tell what you hear from what you see-video to audio generation through text X Liu, K Su, E Shlizerman Advances in Neural Information Processing Systems 37, 101337-101366, 2024 | 32 | 2024 |
| 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 | 17 | 2020 |
| UniMuMo: Unified Text, Music, and Motion Generation H Yang, K Su, Y Zhang, J Chen, K Qian, G Liu, C Gan Proceedings of the AAAI Conference on Artificial Intelligence 39 (24), 25615 …, 2025 | 16 | 2025 |
| 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 | 16 | 2021 |
| BI-MAML: balanced incremental approach for meta learning Y Zheng, J Xiang, K Su, E Shlizerman arXiv preprint arXiv:2006.07412, 2020 | 16 | 2020 |
| From vision to audio and beyond: A unified model for audio-visual representation and generation K Su, X Liu, E Shlizerman arXiv preprint arXiv:2409.19132, 2024 | 15 | 2024 |
| 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 | 14 | 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 | 10 | 2017 |
| Beyond retrieval: Generating narratives in conversational recommender systems RV Krishna Sayana, Y Vasilevski, K Su, L Hebert, H Pham, A Jash, ... arXiv preprint arXiv:2410.16780, 2024 | 7 | 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 | 5 | 2024 |
| & Duncan, JS (2022, September). Incremental learning meets transfer learning: Application to multi-site prostate mri segmentation C You, J Xiang, K Su, X Zhang, S Dong, J Onofrey International Workshop on Distributed, Collaborative, and Federated Learning …, 0 | 5 | |
| Diff4steer: Steerable diffusion prior for generative music retrieval with semantic guidance X Bao, JY Li, ZY Wan, K Su, T Denk, J Lee, D Kuzmin, F Sha ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025 | 2 | 2025 |