Xingzhe He - RankMe

28 papers A* 7A 1Misc 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization. WACV Xingzhe He, Zhiwen Cao, Nicholas I. Kolkin, Lantao Yu, Kun Wan, Helge Rhodin, Ratheesh Kalarot
2025	J	`jnl`	DreamTexture: Shape from Virtual Texture with Analysis by Augmentation. CoRR Ananta R. Bhattarai, Xingzhe He, Alla Sheffer, Helge Rhodin
2024	A*	`conf`	Unsupervised Keypoints from Pretrained Diffusion Models. CVPR Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi
2023	J	`jnl`	A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization. CoRR Xingzhe He, Zhiwen Cao, Nicholas I. Kolkin, Lantao Yu, Helge Rhodin, Ratheesh Kalarot
2023	A*	`conf`	Few-Shot Geometry-Aware Keypoint Localization. CVPR Xingzhe He, Gaurav Bharaj, David Ferman, Helge Rhodin, Pablo Garrido
2023	J	`jnl`	Few-shot Geometry-Aware Keypoint Localization. CoRR Xingzhe He, Gaurav Bharaj, David Ferman, Helge Rhodin, Pablo Garrido
2023	—	`conf`	LatentKeypointGAN: Controlling Images via Latent Keypoints. CRV Xingzhe He, Bastian Wandt, Helge Rhodin
2023	J	`jnl`	Neural Partial Differential Equations with Functional Convolution. CoRR Ziqian Wu, Xingzhe He, Yijun Li, Cheng Yang, Rui Liu, Shiying Xiong, Bo Zhu
2023	J	`jnl`	Unsupervised Keypoints from Pretrained Diffusion Models. CoRR Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi
2022	A*	`conf`	AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints. NeurIPS Xingzhe He, Bastian Wandt, Helge Rhodin
2022	J	`jnl`	AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints. CoRR Xingzhe He, Bastian Wandt, Helge Rhodin
2022	A*	`conf`	GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation. CVPR Xingzhe He, Bastian Wandt, Helge Rhodin
2022	J	`jnl`	LatentKeypointGAN: Controlling Images via Latent Keypoints - Extended Abstract. CoRR Xingzhe He, Bastian Wandt, Helge Rhodin
2022	—	`conf`	TeleViewDemo: Experience the Future of 3D Teleconferencing. SIGGRAPH Asia XR Ziyi Xia, Frank Yu, Beibei Xiong, Emily Jia, Seungyeon Baek, James Gregson, Xingzhe He, Helge Rhodin, Sidney S. Fels
2021	J	`jnl`	GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation. CoRR Xingzhe He, Bastian Wandt, Helge Rhodin
2021	J	`jnl`	LatentKeypointGAN: Controlling GANs via Latent Keypoints. CoRR Xingzhe He, Bastian Wandt, Helge Rhodin
2021	A*	`conf`	Nonseparable Symplectic Neural Networks. ICLR Shiying Xiong, Yunjin Tong, Xingzhe He, Shuqi Yang, Cheng Yang, Bo Zhu
2021	J	`jnl`	Symplectic neural networks in Taylor series form for Hamiltonian systems. J. Comput. Phys. Yunjin Tong, Shiying Xiong, Xingzhe He, Guanghan Pan, Bo Zhu
2020	A*	`conf`	AdvectiveNet: An Eulerian-Lagrangian Fluidic Reservoir for Point Cloud Processing. ICLR Xingzhe He, Helen Lu Cao, Bo Zhu
2020	J	`jnl`	AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing. CoRR Xingzhe He, Helen Lu Cao, Bo Zhu
2020	A*	`conf`	Learning Physical Constraints with Neural Projections. NeurIPS Shuqi Yang, Xingzhe He, Bo Zhu
2020	J	`jnl`	Learning Physical Constraints with Neural Projections. CoRR Shuqi Yang, Xingzhe He, Bo Zhu
2020	J	`jnl`	Neural Vortex Method: from Finite Lagrangian Particles to Infinite Dimensional Eulerian Dynamics. CoRR Shiying Xiong, Xingzhe He, Yunjin Tong, Bo Zhu
2020	J	`jnl`	Nonseparable Symplectic Neural Networks. CoRR Shiying Xiong, Yunjin Tong, Xingzhe He, Cheng Yang, Shuqi Yang, Bo Zhu
2020	J	`jnl`	RoeNets: Predicting Discontinuity of Hyperbolic Systems from Continuous Data. CoRR Shiying Xiong, Xingzhe He, Yunjin Tong, Runze Liu, Bo Zhu
2020	Misc	`conf`	Soft Multicopter Control Using Neural Dynamics Identification. CoRL Yitong Deng, Yaorui Zhang, Xingzhe He, Shuqi Yang, Yunjin Tong, Michael Zhang, Daniel M. DiPietro, Bo Zhu
2020	J	`jnl`	Soft Multicopter Control using Neural Dynamics Identification. CoRR Yitong Deng, Yaorui Zhang, Xingzhe He, Shuqi Yang, Yunjin Tong, Michael Zhang, Daniel M. DiPietro, Bo Zhu
2020	J	`jnl`	Symplectic Neural Networks in Taylor Series Form for Hamiltonian Systems. CoRR Yunjin Tong, Shiying Xiong, Xingzhe He, Guanghan Pan, Bo Zhu