| Physics-informed machine learning: case studies for weather and climate modelling K Kashinath, M Mustafa, A Albert, JL Wu, C Jiang, S Esmaeilzadeh, ... Philosophical Transactions of the Royal Society A 379 (2194), 20200093, 2021 | 731 | 2021 |
| Local implicit grid representations for 3d scenes C Jiang, A Sud, A Makadia, J Huang, M Nießner, T Funkhouser Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 712 | 2020 |
| Openscene: 3d scene understanding with open vocabularies S Peng, K Genova, C Jiang, A Tagliasacchi, M Pollefeys, T Funkhouser Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 569 | 2023 |
| Shape as points: A differentiable poisson solver S Peng, C Jiang, Y Liao, M Niemeyer, M Pollefeys, A Geiger Advances in Neural Information Processing Systems 34, 13032-13044, 2021 | 312 | 2021 |
| Motiondiffuser: Controllable multi-agent motion prediction using diffusion C Jiang, A Cornman, C Park, B Sapp, Y Zhou, D Anguelov Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 240 | 2023 |
| Spherical CNNs on Unstructured Grids C Jiang, J Huang, K Kashinath, P Marcus, M Nießner International Conference on Learning Representation (2019), 2019 | 238 | 2019 |
| Nerdi: Single-view nerf synthesis with language-guided diffusion as general image priors C Deng, C Jiang, CR Qi, X Yan, Y Zhou, L Guibas, D Anguelov Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 204 | 2023 |
| Meshfreeflownet: A physics-constrained deep continuous space-time super-resolution framework S Esmaeilzadeh, K Azizzadenesheli, K Kashinath, M Mustafa, ... SC20: International conference for high performance computing, networking …, 2020 | 171* | 2020 |
| Shapeflow: Learnable deformation flows among 3d shapes C Jiang, J Huang, A Tagliasacchi, LJ Guibas Advances in Neural Information Processing Systems 33, 9745-9757, 2020 | 110 | 2020 |
| Adversarial texture optimization from rgb-d scans J Huang, J Thies, A Dai, A Kundu, C Jiang, LJ Guibas, M Nießner, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 65 | 2020 |
| Towards general-purpose representation learning of polygonal geometries G Mai, C Jiang, W Sun, R Zhu, Y Xuan, L Cai, K Janowicz, S Ermon, ... GeoInformatica 27 (2), 289-340, 2023 | 60 | 2023 |
| Enforcing physical constraints in cnns through differentiable pde layer K Kashinath, P Marcus ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020 | 43 | 2020 |
| Improving the intra-class long-tail in 3d detection via rare example mining CM Jiang, M Najibi, CR Qi, Y Zhou, D Anguelov European Conference on Computer Vision, 158-175, 2022 | 38 | 2022 |
| Finding the optimal shape of the leading-and-trailing car of a high-speed train using design-by-morphing S Oh, CH Jiang, C Jiang, PS Marcus Computational Mechanics 62 (1), 23-45, 2018 | 25 | 2018 |
| Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation C Jiang, D Wang, J Huang, P Marcus, M Nießner International Conference on Learning Representation (2019), 2019 | 20 | 2019 |
| Hierarchical detail enhancing mesh-based shape generation with 3d generative adversarial network C Jiang, P Marcus arXiv preprint arXiv:1709.07581, 2017 | 20 | 2017 |
| Ddsl: Deep differentiable simplex layer for learning geometric signals C Jiang, D Lansigan, P Marcus, M Nießner Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 18 | 2019 |
| Leveraging Bayesian analysis to improve accuracy of approximate models B Nadiga, C Jiang, D Livescu Journal of Computational Physics 394, 280-297, 2019 | 17 | 2019 |
| Meshode: A robust and scalable framework for mesh deformation J Huang, CM Jiang, B Leng, B Wang, L Guibas arXiv preprint arXiv:2005.11617, 2020 | 13 | 2020 |
| Prabhat: Physics-informed machine learning: case studies for weather and climate modelling, Philos. T K Kashinath, M Mustafa, A Albert, JL Wu, C Jiang, S Esmaeilzadeh, ... Roy. Soc. A 379 (20200093), 10.1098, 0 | 13 | |
Philip MarcusProfessor of Mechanical Engineering, University of California at BerkeleyVerified email at me.berkeley.edu
