Xingzhe He

According to our database, Xingzhe He authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

Unsupervised Keypoints from Pretrained Diffusion Models.

Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization.

Xingzhe He, Zhiwen Cao, Nicholas Kolkin, Lantao Yu, Helge Rhodin, Ratheesh Kalarot

CoRR, 2023

Neural Partial Differential Equations with Functional Convolution.

Ziqian Wu, Xingzhe He, Yijun Li, Cheng Yang, Rui Liu, Shiying Xiong, Bo Zhu

CoRR, 2023

Few-Shot Geometry-Aware Keypoint Localization.

Xingzhe He, Gaurav Bharaj, David Ferman, Helge Rhodin, Pablo Garrido

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

LatentKeypointGAN: Controlling Images via Latent Keypoints.

Xingzhe He, Bastian Wandt, Helge Rhodin

Proceedings of the 20th Conference on Robots and Vision, 2023

2022

LatentKeypointGAN: Controlling Images via Latent Keypoints - Extended Abstract.

Xingzhe He, Bastian Wandt, Helge Rhodin

CoRR, 2022

TeleViewDemo: Experience the Future of 3D Teleconferencing.

Ziyi Xia, Frank Yu, Beibei Xiong, Emily Jia, Seungyeon Baek, James Gregson, Xingzhe He, Helge Rhodin, Sidney S. Fels

Proceedings of the SIGGRAPH Asia 2022 XR, Daegu, Republic of Korea, December 6-9, 2022, 2022

AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints.

Xingzhe He, Bastian Wandt, Helge Rhodin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation.

Xingzhe He, Bastian Wandt, Helge Rhodin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Symplectic neural networks in Taylor series form for Hamiltonian systems.

Yunjin Tong, Shiying Xiong, Xingzhe He, Guanghan Pan, Bo Zhu

J. Comput. Phys., 2021

LatentKeypointGAN: Controlling GANs via Latent Keypoints.

Xingzhe He, Bastian Wandt, Helge Rhodin

CoRR, 2021

Nonseparable Symplectic Neural Networks.

Shiying Xiong, Yunjin Tong, Xingzhe He, Shuqi Yang, Cheng Yang, Bo Zhu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

RoeNets: Predicting Discontinuity of Hyperbolic Systems from Continuous Data.

Shiying Xiong, Xingzhe He, Yunjin Tong, Runze Liu, Bo Zhu

CoRR, 2020

Neural Vortex Method: from Finite Lagrangian Particles to Infinite Dimensional Eulerian Dynamics.

Shiying Xiong, Xingzhe He, Yunjin Tong, Bo Zhu

CoRR, 2020

Learning Physical Constraints with Neural Projections.

Shuqi Yang, Xingzhe He, Bo Zhu

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

AdvectiveNet: An Eulerian-Lagrangian Fluidic Reservoir for Point Cloud Processing.

Xingzhe He, Helen Lu Cao, Bo Zhu

Proceedings of the 8th International Conference on Learning Representations, 2020

Soft Multicopter Control Using Neural Dynamics Identification.

Yitong Deng, Yaorui Zhang, Xingzhe He, Shuqi Yang, Yunjin Tong, Michael Zhang, Daniel M. DiPietro, Bo Zhu

Proceedings of the 4th Conference on Robot Learning, 2020