He, Xingzhe

9 publications

WACV 2025 A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization Xingzhe He, Zhiwen Cao, Nick Kolkin, Lantao Yu, Kun Wan, Helge Rhodin, Ratheesh Kalarot

CVPR 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

CVPR 2023 Few-Shot Geometry-Aware Keypoint Localization Xingzhe He, Gaurav Bharaj, David Ferman, Helge Rhodin, Pablo Garrido

NeurIPS 2022 AutoLink: Self-Supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints Xingzhe He, Bastian Wandt, Helge Rhodin

CVPR 2022 GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation Xingzhe He, Bastian Wandt, Helge Rhodin

ICLR 2021 Nonseparable Symplectic Neural Networks Shiying Xiong, Yunjin Tong, Xingzhe He, Shuqi Yang, Cheng Yang, Bo Zhu

ICLR 2020 AdvectiveNet: An Eulerian-Lagrangian Fluidic Reservoir for Point Cloud Processing Xingzhe He, Helen Lu Cao, Bo Zhu

NeurIPS 2020 Learning Physical Constraints with Neural Projections Shuqi Yang, Xingzhe He, Bo Zhu

CoRL 2020 Soft Multicopter Control Using Neural Dynamics Identification Yitong Deng, Yaorui Zhang, Xingzhe He, Shuqi Yang, Yunjin Tong, Michael Zhang, Daniel DiPietro, Bo Zhu