| Distortion agnostic deep watermarking X Luo, R Zhan, H Chang, F Yang, P Milanfar Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 210 | 2020 |
| Uncertainty Quantification in Graph-Based Classification of High Dimensional Data AL Bertozzi, X Luo, AM Stuart, KC Zygalakis SIAM/ASA Journal on Uncertainty Quantification 6 (2), 568-595, 2018 | 94* | 2018 |
| Graph-based deep modeling and real time forecasting of sparse spatio-temporal data B Wang, X Luo, F Zhang, B Yuan, AL Bertozzi, PJ Brantingham arXiv preprint arXiv:1804.00684, 2018 | 90 | 2018 |
| Seq2Slate: Re-ranking and slate optimization with RNNs I Bello, S Kulkarni, S Jain, C Boutilier, E Chi, E Eban, X Luo, A Mackey, ... arXiv preprint arXiv:1810.02019, 2018 | 88 | 2018 |
| Laplacian smoothing gradient descent S Osher, B Wang, P Yin, X Luo, F Barekat, M Pham, A Lin Research in the Mathematical Sciences 9 (3), 55, 2022 | 68 | 2022 |
| DVMark: a deep multiscale framework for video watermarking X Luo, Y Li, H Chang, C Liu, P Milanfar, F Yang IEEE Transactions on Image Processing, 2023 | 64 | 2023 |
| Convergence of the graph Allen–Cahn scheme X Luo, AL Bertozzi Journal of Statistical Physics 167, 934-958, 2017 | 50* | 2017 |
| Deep neural nets with interpolating function as output activation B Wang, X Luo, Z Li, W Zhu, Z Shi, S Osher Advances in neural information processing systems 31, 2018 | 41 | 2018 |
| Deep 3D-to-2D watermarking: Embedding messages in 3D meshes and extracting them from 2D renderings I Yoo, H Chang, X Luo, O Stava, C Liu, P Milanfar, F Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 36 | 2022 |
| Better compression with deep pre-editing H Talebi, D Kelly, X Luo, IG Dorado, F Yang, P Milanfar, M Elad IEEE Transactions on Image Processing 30, 6673-6685, 2021 | 32 | 2021 |
| Mammut: A simple architecture for joint learning for multimodal tasks W Kuo, AJ Piergiovanni, D Kim, X Luo, B Caine, W Li, A Ogale, L Zhou, ... arXiv preprint arXiv:2303.16839, 2023 | 29 | 2023 |
| The rate-distortion-accuracy tradeoff: Jpeg case study X Luo, H Talebi, F Yang, M Elad, P Milanfar arXiv preprint arXiv:2008.00605, 2020 | 28 | 2020 |
| Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos Y Qiao, C Shi, C Wang, H Li, M Haberland, X Luo, AM Stuart, AL Bertozzi Electronic Imaging 2019 (11), 264-1-264-7, 2020 | 22 | 2020 |
| A study on graph-structured recurrent neural networks and sparsification with application to epidemic forecasting Z Li, X Luo, B Wang, AL Bertozzi, J Xin Optimization of Complex Systems: Theory, Models, Algorithms and Applications …, 2020 | 19 | 2020 |
| Spatial and semantic augmented reality autocompletion in an augmented reality environment R Chojnacka, M Oktem, R Patel, U Idnani, X Luo US Patent 11,158,128, 2021 | 16 | 2021 |
| The rate-distortion-accuracy tradeoff: JPEG case study X Luo, H Talebi, F Yang, M Elad, P Milanfar 2021 Data compression conference (DCC), 354-354, 2021 | 12 | 2021 |
| Leca: A learned approach for efficient cover-agnostic watermarking X Luo, M Goebel, E Barshan, F Yang arXiv preprint arXiv:2206.10813, 2022 | 11 | 2022 |
| Intent detection with a computing device A Kannan, R Chojnacka, J Kerns, X Luo, M Oktem, N Elassal US Patent 11,543,888, 2023 | 9 | 2023 |
| Gifnets: Differentiable gif encoding framework I Yoo, X Luo, Y Wang, F Yang, P Milanfar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 7 | 2020 |
| Constrained classification and ranking via quantiles A Mackey, X Luo, E Eban arXiv preprint arXiv:1803.00067, 2018 | 7 | 2018 |
Peyman MilanfarDistinguished Scientist, GoogleEmail verificata su google.com