| Symplectic neural networks in taylor series form for hamiltonian systems Y Tong, S Xiong, X He, G Pan, B Zhu Journal of Computational Physics (JCP), 2020 | 38 | 2020 |
| Learning Physical Constraints with Neural Projections S Yang, X He, B Zhu The Conference on Neural Information Processing Systems (NeurIPS) 2020, 2020 | 32 | 2020 |
| Nonseparable symplectic neural networks S Xiong, Y Tong, X He, C Yang, S Yang, B Zhu The International Conference on Learning Representations (ICLR) 2021, 2020 | 26 | 2020 |
| GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation X He, B Wandt, H Rhodin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 19 | 2021 |
| Latentkeypointgan: Controlling gans via latent keypoints X He, B Wandt, H Rhodin arXiv preprint arXiv:2103.15812, 2021 | 16 | 2021 |
| Neural vortex method: from finite lagrangian particles to infinite dimensional eulerian dynamics S Xiong, X He, Y Tong, Y Deng, B Zhu Computers & Fluids 258, 105811, 2023 | 15 | 2023 |
| AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints X He, B Wandt, H Rhodin The Conference on Neural Information Processing Systems (NeurIPS) 2022, 2022 | 13 | 2022 |
| AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing X He, HL Cao, B Zhu The International Conference on Learning Representations (ICLR) 2020, 2020 | 12 | 2020 |
| A data perspective on enhanced identity preservation for diffusion personalization X He, Z Cao, N Kolkin, L Yu, H Rhodin, R Kalarot arXiv preprint arXiv:2311.04315, 2023 | 8 | 2023 |
| Soft Multicopter Control using Neural Dynamics Identification Y Deng, Y Zhang, X He, S Yang, Y Tong, M Zhang, D DiPietro, B Zhu The Conference on Robot Learning (CoRL) 2020, 2020 | 8 | 2020 |
| RoeNet: Predicting discontinuity of hyperbolic systems from continuous data Y Tong, S Xiong, X He, S Yang, Z Wang, R Tao, R Liu, B Zhu International Journal for Numerical Methods in Engineering 125 (6), e7406, 2024 | 6 | 2024 |
| Few-shot geometry-aware keypoint localization X He, G Bharaj, D Ferman, H Rhodin, P Garrido Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Unsupervised keypoints from pretrained diffusion models E Hedlin, G Sharma, S Mahajan, X He, H Isack, A Kar, H Rhodin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Televiewdemo: Experience the future of 3D teleconferencing Z Xia, F Yu, B Xiong, E Jia, S Baek, J Gregson, X He, H Rhodin, S Fels SIGGRAPH Asia 2022 XR, 1-2, 2022 | 2 | 2022 |
| Neural Partial Differential Equations with Functional Convolution Z Wu, X He, Y Li, C Yang, R Liu, S Xiong, B Zhu arXiv preprint arXiv:2303.07194, 2023 | | 2023 |
| LatentKeypointGAN: Controlling Images via Latent Keypoints X He, B Wandt, H Rhodin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | | 2022 |
| Alexander Ferworn, Ryerson University Amin Mohammad Soleimani Abyaneh, McGill University Carlos Vazquez, École de Technologie Supérieure Cunjian Chen, Michigan State University D Clausi, E Daneshmand, F Mannan, F Lotfi, GA Bilodeau, H Rhodin, ... | | |
| CRV 2023 X He, B Wandt, VP Nia, PH Akwensi, R Wang | | |
| VortexNet: Learning Complex Dynamic Systems with Physics-Embedded Networks S Xiong, X He, Y Tong, Y Deng, B Zhu | | |
| Soft Multicopter Control Using Neural Dynamics Identification Supplementary Y Deng, Y Zhang, X He, S Yang, Y Tong, M Zhang, D DiPietro, B Zhu | | |
