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CHIYU MAX JIANG
CHIYU MAX JIANG
Waymo LLC
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Title
Cited by
Cited by
Year
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
2722020
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
1422021
Spherical CNNs on Unstructured Grids
C Jiang, J Huang, K Kashinath, P Marcus, M Nießner
International Conference on Learning Representation (2019), 2019
1342019
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
492020
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
472020
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
432021
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
272020
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
192020
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, 23-45, 2018
162018
Hierarchical detail enhancing mesh-based shape generation with 3d generative adversarial network
C Jiang, P Marcus
arXiv preprint arXiv:1709.07581, 2017
142017
Leveraging Bayesian analysis to improve accuracy of approximate models
B Nadiga, C Jiang, D Livescu
Journal of Computational Physics 394, 280-297, 2019
122019
Local implicit grid representations for 3d scenes. In 2020 IEEE
C Jiang, A Sud, A Makadia, J Huang, M Nießner, T Funkhouser
CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2, 2020
92020
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
92019
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
72020
Local Implicit Grid Representations for 3D Scenes.
Chiyu" Max" Jiang, A Sud, A Makadia, J Huang, M Nießner, ...
CVPR, 6000-6009, 2020
62020
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
52019
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, 1-52, 2022
12022
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
arXiv preprint arXiv:2212.03267, 2022
2022
OpenScene: 3D Scene Understanding with Open Vocabularies
S Peng, K Genova, C Jiang, A Tagliasacchi, M Pollefeys, T Funkhouser
arXiv preprint arXiv:2211.15654, 2022
2022
Neural Network Optimization Under Partial Differential Equation Constraints
K Kashinath, C Jiang, GE Jergensen, M Prabhat, P Marcus, ...
APS Division of Fluid Dynamics Meeting Abstracts, C17. 008, 2019
2019
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Articles 1–20