Chiyu Max Jiang

According to our database, Chiyu Max Jiang authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout.

Chiyu Max Jiang, Yijing Bai, Andre Cornman, Christopher Davis, Xiukun Huang, Hong Jeon, Sakshum Kulshrestha, John Lambert, Shuangyu Li, Xuanyu Zhou, Carlos Fuertes, Chang Yuan, Mingxing Tan, Yin Zhou, Dragomir Anguelov

CoRR, 2024

3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation.

Zihao Xiao, Longlong Jing, Shangxuan Wu, Alex Zihao Zhu, Jingwei Ji, Chiyu Max Jiang, Wei-Chih Hung, Thomas A. Funkhouser, Weicheng Kuo, Anelia Angelova, Yin Zhou, Shiwei Sheng

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Towards general-purpose representation learning of polygonal geometries.

Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao

GeoInformatica, April, 2023

OpenScene: 3D Scene Understanding with Open Vocabularies.

Songyou Peng, Kyle Genova, Chiyu Max Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas A. Funkhouser

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion.

Chiyu Max Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors.

Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining.

Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Shape As Points: A Differentiable Poisson Solver.

Songyou Peng, Chiyu Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

3D Geometric Deep Learning and its Engineering Applications

Chiyu Jiang

PhD thesis, 2020

ShapeFlow: Learnable Deformations Among 3D Shapes.

Chiyu Max Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas J. Guibas

CoRR, 2020

MeshODE: A Robust and Scalable Framework for Mesh Deformation.

Jingwei Huang, Chiyu Max Jiang, Baiqiang Leng, Bin Wang, Leonidas J. Guibas

CoRR, 2020

MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework.

Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar

Proceedings of the International Conference for High Performance Computing, 2020

ShapeFlow: Learnable Deformation Flows Among 3D Shapes.

Chiyu Max Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas J. Guibas

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Local Implicit Grid Representations for 3D Scenes.

Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Texture Optimization From RGB-D Scans.

Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Leveraging Bayesian analysis to improve accuracy of approximate models.

Balasubramanya T. Nadiga, Chiyu Jiang, Daniel Livescu

J. Comput. Phys., 2019

Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation.

Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner

Proceedings of the 7th International Conference on Learning Representations, 2019

Spherical CNNs on Unstructured Grids.

Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Nießner

Proceedings of the 7th International Conference on Learning Representations, 2019

DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals.

Chiyu Max Jiang, Dana Lynn Ona Lansigan, Philip Marcus, Matthias Nießner

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2017

Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network.

Chiyu Max Jiang, Philip Marcus

CoRR, 2017