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2020 – today
- 2024
[c11]Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming C. Lin, Miles Macklin, Animesh Garg:
HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors. ICRA 2024: 13983-13990- 2023
- [j6]Yi-Ling Qiao, Lin Gao
, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen:
Learning-Based Intrinsic Reflectional Symmetry Detection. IEEE Trans. Vis. Comput. Graph. 29(9): 3799-3808 (2023) - [c10]Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin:
Dynamic Mesh-Aware Radiance Fields. ICCV 2023: 385-396 - [c9]Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming C. Lin, Chenfanfu Jiang, Chuang Gan:
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. ICLR 2023 - [c8]Sanghyun Son, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming C. Lin:
Gradient Informed Proximal Policy Optimization. NeurIPS 2023 - [i15]Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming C. Lin, Chenfanfu Jiang, Chuang Gan:
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. CoRR abs/2303.05512 (2023) - [i14]Zhou Xian, Théophile Gervet, Zhenjia Xu, Yi-Ling Qiao, Tsun-Hsuan Wang:
Towards A Foundation Model for Generalist Robots: Diverse Skill Learning at Scale via Automated Task and Scene Generation. CoRR abs/2305.10455 (2023) - [i13]Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin:
Dynamic Mesh-Aware Radiance Fields. CoRR abs/2309.04581 (2023) - [i12]Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming C. Lin, Miles Macklin, Animesh Garg:
HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors. CoRR abs/2311.16552 (2023) - [i11]Sanghyun Son, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming C. Lin:
Gradient Informed Proximal Policy Optimization. CoRR abs/2312.08710 (2023) - 2022
- [j5]Sanghyun Son, Yi-Ling Qiao, Jason Sewall, Ming C. Lin:
Differentiable Hybrid Traffic Simulation. ACM Trans. Graph. 41(6): 258:1-258:10 (2022) - [j4]Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen:
Learning on 3D Meshes With Laplacian Encoding and Pooling. IEEE Trans. Vis. Comput. Graph. 28(2): 1317-1327 (2022) - [j3]Yi-Ling Qiao, Yu-Kun Lai, Hongbo Fu, Lin Gao:
Synthesizing Mesh Deformation Sequences With Bidirectional LSTM. IEEE Trans. Vis. Comput. Graph. 28(4): 1906-1916 (2022) - [c7]Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu:
Differentiable Analog Quantum Computing for Optimization and Control. NeurIPS 2022 - [c6]Yi-Ling Qiao, Alexander Gao, Ming C. Lin:
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos. NeurIPS 2022 - [i10]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Differentiable Simulation of Soft Multi-body Systems. CoRR abs/2205.01758 (2022) - [i9]Sanghyun Son, Yi-Ling Qiao, Jason Sewall, Ming C. Lin:
Differentiable Hybrid Traffic Simulation. CoRR abs/2210.08046 (2022) - [i8]Yi-Ling Qiao, Alexander Gao, Ming C. Lin:
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos. CoRR abs/2210.12352 (2022) - [i7]Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu:
Differentiable Analog Quantum Computing for Optimization and Control. CoRR abs/2210.15812 (2022) - 2021
- [j2]Jing Liang, Yi-Ling Qiao, Tianrui Guan, Dinesh Manocha:
OF-VO: Efficient Navigation Among Pedestrians Using Commodity Sensors. IEEE Robotics Autom. Lett. 6(4): 6148-6155 (2021) - [c5]Tetsuya Takahashi, Junbang Liang, Yi-Ling Qiao, Ming C. Lin:
Differentiable Fluids with Solid Coupling for Learning and Control. AAAI 2021: 6138-6146 - [c4]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Efficient Differentiable Simulation of Articulated Bodies. ICML 2021: 8661-8671 - [c3]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Differentiable Simulation of Soft Multi-body Systems. NeurIPS 2021: 17123-17135 - [i6]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Efficient Differentiable Simulation of Articulated Bodies. CoRR abs/2109.07719 (2021) - 2020
- [c2]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Scalable Differentiable Physics for Learning and Control. ICML 2020: 7847-7856 - [i5]Jing Liang, Yi-Ling Qiao, Dinesh Manocha:
OF-VO: Reliable Navigation among Pedestrians Using Commodity Sensors. CoRR abs/2004.10976 (2020) - [i4]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Scalable Differentiable Physics for Learning and Control. CoRR abs/2007.02168 (2020)
2010 – 2019
- 2019
- [i3]Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen:
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling. CoRR abs/1910.14063 (2019) - [i2]Yi-Ling Qiao, Lin Gao, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen:
Learning-based Real-time Detection of Intrinsic Reflectional Symmetry. CoRR abs/1911.00189 (2019) - 2018
- [j1]Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul L. Rosin, Weiwei Xu, Shihong Xia:
Automatic unpaired shape deformation transfer. ACM Trans. Graph. 37(6): 237 (2018) - [c1]Yi-Ling Qiao, Lin Gao, Yu-Kun Lai, Fang-Lue Zhang, Mingzhe Yuan, Shihong Xia:
SF-Net: Learning Scene Flow from RGB-D Images with CNNs. BMVC 2018: 281 - [i1]Yi-Ling Qiao, Lin Gao, Yu-Kun Lai, Shihong Xia:
Learning Bidirectional LSTM Networks for Synthesizing 3D Mesh Animation Sequences. CoRR abs/1810.02042 (2018)
Coauthor Index
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