| Muse: Text-to-image generation via masked generative transformers H Chang, H Zhang, J Barber, AJ Maschinot, J Lezama, L Jiang, MH Yang, ... arXiv preprint arXiv:2301.00704, 2023 | 323 | 2023 |
| Enhancing few-shot image classification with unlabelled examples P Bateni, J Barber, JW Van de Meent, F Wood Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 75* | 2022 |
| Styledrop: Text-to-image synthesis of any style K Sohn, L Jiang, J Barber, K Lee, N Ruiz, D Krishnan, H Chang, Y Li, ... Advances in Neural Information Processing Systems 36, 2024 | 62* | 2024 |
| Improving SAR automatic target recognition using simulated images under deep residual refinements M Cha, A Majumdar, HT Kung, J Barber 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 44 | 2018 |
| A generalized likelihood ratio test for coherent change detection in polarimetric SAR J Barber IEEE Geoscience and Remote Sensing Letters 12 (9), 1873-1877, 2015 | 42 | 2015 |
| Beyond simple meta-learning: Multi-purpose models for multi-domain, active and continual few-shot learning P Bateni, J Barber, R Goyal, V Masrani, JW van de Meent, L Sigal, ... arXiv preprint arXiv:2201.05151, 2022 | 16 | 2022 |
| Probabilistic three-pass SAR coherent change detection J Barber, S Kogon 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals …, 2012 | 13 | 2012 |
| False alarm mitigation techniques for SAR CCD M Newey, J Barber, G Benitz, S Kogon 2013 IEEE Radar Conference (RadarCon13), 1-6, 2013 | 11 | 2013 |
| Challenges and opportunities in multi-device speech processing G Ciccarelli, J Barber, A Nair, I Cohen, T Zhang arXiv preprint arXiv:2206.15432, 2022 | 4 | 2022 |
| End-to-end Alexa Device Arbitration J Barber, Y Fan, T Zhang 2022 IEEE International Conference on Acoustics, Speech and Signal …, 2021 | 4 | 2021 |
| Sparse gaussian processes via parametric families of compactly-supported kernels J Barber arXiv preprint arXiv:2006.03673, 2020 | 2 | 2020 |
| Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency T Li, S Bhardwaj, Y Tian, H Zhang, J Barber, D Katabi, G Lajoie, H Chang, ... arXiv preprint arXiv:2310.03734, 2023 | 1 | 2023 |
| SPADE: Self-supervised pretraining for acoustic disentanglement J Harvill, J Barber, A Nair, R Pishehvar ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Probabilistic Label-Efficient Deep Generative Structures (PLEDGES) A Pfeffer, C Call, F Wood, B Rosenberg, K Bibbiani, L Sigal, I Shah, ... | | 2021 |
| 18.338 Project: Universality of local eigenvalue statistics J Barber | | 2015 |
Dilip KrishnanResearch Scientist, Google在 google.com 的电子邮件经过验证
