| Flowfusion: Dynamic dense rgb-d slam based on optical flow T Zhang, H Zhang, Y Li, Y Nakamura, L Zhang ICRA, 2020 | 128 | 2020 |
| Lepard: Learning partial point cloud matching in rigid and deformable scenes Y Li, T Harada CVPR, 2022 | 100 | 2022 |
| Pose graph optimization for unsupervised monocular visual odometry Y Li, Y Ushiku, T Harada ICRA, 2019 | 69 | 2019 |
| 4dcomplete: Non-rigid motion estimation beyond the observable surface Y Li, H Takehara, T Taketomi, B Zheng, M Nießner ICCV, 2021 | 65 | 2021 |
| Learning to optimize non-rigid tracking Y Li, A Bozic, T Zhang, Y Ji, T Harada, M Nießner CVPR, 2020 | 24 | 2020 |
| Malphite: A convolutional neural network and ensemble learning based protein secondary structure predictor Y Li, T Shibuya BIBM, 2015 | 21 | 2015 |
| Non-rigid Point Cloud Registration with Neural Deformation Pyramid Y Li, T Harada NeurIPS, 2022 | 20 | 2022 |
| Splitfusion: Simultaneous tracking and mapping for non-rigid scenes Y Li, T Zhang, Y Nakamura, T Harada IROS, 2020 | 15 | 2020 |
| BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation Z Wu, Y Li, H Yan, T Shang, W Sun, S Wang, R Cui, W Liu, H Sato, H Li, ... ACM Transactions on Graphics, 2024 | 3 | 2024 |
| 3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation Z Wu, Y Li, Y Huang, L Gu, T Harada, H Sato ICLR, 2022 | 2 | 2022 |
| NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation R Cui, W Liu, W Sun, S Wang, T Shang, Y Li, X Song, H Yan, Z Wu, ... arXiv preprint arXiv:2403.18241, 2024 | | 2024 |
| Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane H Yan, Y Li, Z Wu, S Chen, W Sun, T Shang, W Liu, T Chen, X Dai, C Ma, ... arXiv preprint arXiv:2403.16210, 2024 | | 2024 |
Tatsuya HaradaThe University of TokyoVerified email at mi.t.u-tokyo.ac.jp
