| Disentangled Representation Learning GAN for Pose-Invariant Face Recognition L Tran, X Yin, X Liu IEEE Computer Vision and Pattern Recognition (CVPR), 2017 | 1085 | 2017 |
| Nonlinear 3D Face Morphable Model L Tran, X Liu IEEE Computer Vision and Pattern Recognition (CVPR), 2018 | 375 | 2018 |
| Gait Recognition via Disentangled Representation Learning Z Zhang, L Tran, X Yin, Y Atoum, X Liu, J Wan, N Wang IEEE Computer Vision and Pattern Recognition (CVPR), 2019 | 231 | 2019 |
| Towards High-fidelity Nonlinear 3D Face Morphable Model L Tran, F Liu, X Liu IEEE Computer Vision and Pattern Recognition (CVPR), 2019 | 160 | 2019 |
| Representation Learning by Rotating Your Faces L Tran, X Yin, X Liu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018 | 158 | 2018 |
| Missing Modalities Imputation via Cascaded Residual Autoencoder L Tran, X Liu, J Zhou, R Jin IEEE Computer Vision and Pattern Recognition (CVPR), 2017 | 156 | 2017 |
| On Learning 3D Face Morphable Model From In-the-wild images L Tran, X Liu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 | 144 | 2019 |
| On learning disentangled representations for gait recognition Z Zhang, L Tran, F Liu, X Liu IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (1), 345-360, 2020 | 103 | 2020 |
| Towards Interpretable Face Recognition B Yin, L Tran, H Li, X Shen, X Liu IEEE International Conference on Computer Vision (ICCV), 2019 | 79 | 2019 |
| 3D Face Modeling from Diverse Raw Scan Data F Liu, L Tran, X Liu IEEE International Conference on Computer Vision (ICCV), 2019 | 54 | 2019 |
| Gotta Adapt'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild L Tran, K Sohn, X Yu, X Liu, M Chandraker Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR), 2019 | 46 | 2019 |
| MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos A Chowdhury, Y Atoum, L Tran, X Liu, A Ross International Conference on Pattern Recognition (ICPR), 2018 | 21 | 2018 |
| Neural correspondence field for object pose estimation L Huang, T Hodan, L Ma, L Zhang, L Tran, C Twigg, PC Wu, J Yuan, ... European Conference on Computer Vision, 585-603, 2022 | 16 | 2022 |
| UmeTrack: Unified multi-view end-to-end hand tracking for VR S Han, P Wu, Y Zhang, B Liu, L Zhang, Z Wang, W Si, P Zhang, Y Cai, ... SIGGRAPH Asia 2022 Conference Papers, 1-9, 2022 | 15 | 2022 |
| Fully understanding generic objects: Modeling, segmentation, and reconstruction F Liu, L Tran, X Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 14 | 2021 |
| Disentangled representation learning generative adversarial network for pose-invariant face recognition X Liu, LQ Tran, X Yin US Patent App. 16/648,202, 2020 | 13 | 2020 |
| AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation T Ohkawa, K He, F Sener, T Hodan, L Tran, C Keskin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Short message service-based collection of patient-reported outcome measures on hand surgery global outreach trips: a pilot feasibility study LM Shapiro, MP Đình, L Tran, PM Fox, MJ Richard, RN Kamal The Journal of Hand Surgery 47 (4), 384. e1-384. e5, 2022 | 8 | 2022 |
| Joint pixel and feature-level domain adaptation in the wild L Tran, K Sohn, X Yu, X Liu, MK Chandraker arXiv preprint arXiv:1803.00068 1 (2), 2018 | 6 | 2018 |
| In-Hand 3D Object Scanning from an RGB Sequence S Hampali, T Hodan, L Tran, L Ma, C Keskin, V Lepetit Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
Xiaoming LiuMSU Foundation Professor, Computer Science and Engineering, Michigan State UniversityDirección de correo verificada de cse.msu.edu
