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ORCIDChiyu Max Jiang
Person information
- unicode name: 蒋驰宇
- affiliation (PhD 2020): University of California, Berkeley, CA, USA
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2020 – today
- 2024
[c13]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:
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation. ECCV (40) 2024: 21-38- [i16]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:
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation. CoRR abs/2401.02402 (2024) - 2023
- [j2]Gengchen Mai
, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao:
Towards general-purpose representation learning of polygonal geometries. GeoInformatica 27(2): 289-340 (2023) - [c12]Songyou Peng, Kyle Genova, Chiyu Max Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas A. Funkhouser:
OpenScene: 3D Scene Understanding with Open Vocabularies. CVPR 2023: 815-824 - [c11]Chiyu Max Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov:
MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion. CVPR 2023: 9644-9653 - [c10]Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov:
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CVPR 2023: 20637-20647 - [i15]Chiyu Max Jiang, Andre Cornman, Cheolho Park, Ben Sapp, Yin Zhou, Dragomir Anguelov:
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion. CoRR abs/2306.03083 (2023) - 2022
- [c9]Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov:
Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining. ECCV (10) 2022: 158-175 - [i14]Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao:
Towards General-Purpose Representation Learning of Polygonal Geometries. CoRR abs/2209.15458 (2022) - [i13]Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov:
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining. CoRR abs/2210.08375 (2022) - [i12]Songyou Peng, Kyle Genova, Chiyu Max Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas A. Funkhouser:
OpenScene: 3D Scene Understanding with Open Vocabularies. CoRR abs/2211.15654 (2022) - [i11]Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov:
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CoRR abs/2212.03267 (2022) - 2021
- [c8]Songyou Peng, Chiyu Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger:
Shape As Points: A Differentiable Poisson Solver. NeurIPS 2021: 13032-13044 - [i10]Songyou Peng, Chiyu Max Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger:
Shape As Points: A Differentiable Poisson Solver. CoRR abs/2106.03452 (2021) - 2020
- [b1]Chiyu Jiang:
3D Geometric Deep Learning and its Engineering Applications. University of California, Berkeley, USA, 2020 - [c7]Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser:
Adversarial Texture Optimization From RGB-D Scans. CVPR 2020: 1556-1565 - [c6]Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser:
Local Implicit Grid Representations for 3D Scenes. CVPR 2020: 6000-6009 - [c5]Chiyu Max Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas J. Guibas:
ShapeFlow: Learnable Deformation Flows Among 3D Shapes. NeurIPS 2020 - [c4]Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar:
MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework. SC 2020: 9 - [i9]Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser:
Adversarial Texture Optimization from RGB-D Scans. CoRR abs/2003.08400 (2020) - [i8]Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser:
Local Implicit Grid Representations for 3D Scenes. CoRR abs/2003.08981 (2020) - [i7]Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar:
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework. CoRR abs/2005.01463 (2020) - [i6]Jingwei Huang, Chiyu Max Jiang, Baiqiang Leng, Bin Wang, Leonidas J. Guibas:
MeshODE: A Robust and Scalable Framework for Mesh Deformation. CoRR abs/2005.11617 (2020) - [i5]Chiyu Max Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas J. Guibas:
ShapeFlow: Learnable Deformations Among 3D Shapes. CoRR abs/2006.07982 (2020)
2010 – 2019
- 2019
- [j1]Balasubramanya T. Nadiga, Chiyu Jiang, Daniel Livescu:
Leveraging Bayesian analysis to improve accuracy of approximate models. J. Comput. Phys. 394: 280-297 (2019) - [c3]Chiyu Max Jiang, Dana Lynn Ona Lansigan, Philip Marcus, Matthias Nießner:
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals. ICCV 2019: 8768-8777 - [c2]Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Nießner:
Spherical CNNs on Unstructured Grids. ICLR (Poster) 2019 - [c1]Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner:
Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation. ICLR (Poster) 2019 - [i4]Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Nießner:
Spherical CNNs on Unstructured Grids. CoRR abs/1901.02039 (2019) - [i3]Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner:
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation. CoRR abs/1901.02070 (2019) - [i2]Chiyu Max Jiang, Dana Lynn Ona Lansigan, Philip Marcus, Matthias Nießner:
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals. CoRR abs/1901.11082 (2019) - 2017
- [i1]Chiyu Max Jiang, Philip Marcus:
Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network. CoRR abs/1709.07581 (2017)
Coauthor Index
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