Yi-Ling Qiao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Top Venues

IEEE Trans. Vis. Comput. Graph.

ACM Trans. Graph.

Publications

Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming Lin, Miles Macklin, Animesh Garg
HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors. ICRA (2024)
Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. CoRR (2023)
Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin
Dynamic Mesh-Aware Radiance Fields. ICCV (2023)
Sanghyun Son, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming C. Lin
Gradient Informed Proximal Policy Optimization. NeurIPS (2023)
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 (2023)
Sanghyun Son, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming C. Lin
Gradient Informed Proximal Policy Optimization. CoRR (2023)
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 (2023)
Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin
Dynamic Mesh-Aware Radiance Fields. CoRR (2023)
Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. ICLR (2023)
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) (2023)
Yi-Ling Qiao, Yu-Kun Lai, Hongbo Fu, Lin Gao
Synthesizing Mesh Deformation Sequences With Bidirectional LSTM. IEEE Trans. Vis. Comput. Graph. 28 (4) (2022)
Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu
Differentiable Analog Quantum Computing for Optimization and Control. CoRR (2022)
Sanghyun Son, Yi-Ling Qiao, Jason Sewall, Ming C. Lin
Differentiable Hybrid Traffic Simulation. ACM Trans. Graph. 41 (6) (2022)
Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu
Differentiable Analog Quantum Computing for Optimization and Control. NeurIPS (2022)
Sanghyun Son, Yi-Ling Qiao, Jason Sewall, Ming C. Lin
Differentiable Hybrid Traffic Simulation. CoRR (2022)
Yi-Ling Qiao, Alexander Gao, Ming C. Lin
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos. NeurIPS (2022)
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
Differentiable Simulation of Soft Multi-body Systems. CoRR (2022)
Yi-Ling Qiao, Alexander Gao, Ming C. Lin
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos. CoRR (2022)
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) (2022)
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
Efficient Differentiable Simulation of Articulated Bodies. ICML (2021)
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
Differentiable Simulation of Soft Multi-body Systems. NeurIPS (2021)
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
Efficient Differentiable Simulation of Articulated Bodies. CoRR (2021)
Jing Liang, Yi-Ling Qiao, Tianrui Guan, Dinesh Manocha
OF-VO: Efficient Navigation Among Pedestrians Using Commodity Sensors. IEEE Robotics Autom. Lett. 6 (4) (2021)
Tetsuya Takahashi, Junbang Liang, Yi-Ling Qiao, Ming C. Lin
Differentiable Fluids with Solid Coupling for Learning and Control. AAAI (2021)
Jing Liang, Yi-Ling Qiao, Dinesh Manocha
OF-VO: Reliable Navigation among Pedestrians Using Commodity Sensors. CoRR (2020)
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
Scalable Differentiable Physics for Learning and Control. ICML (2020)
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
Scalable Differentiable Physics for Learning and Control. CoRR (2020)
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 (2019)
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 (2019)
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) (2018)
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)
Yi-Ling Qiao, Lin Gao, Yu-Kun Lai, Shihong Xia
Learning Bidirectional LSTM Networks for Synthesizing 3D Mesh Animation Sequences. CoRR (2018)