| Keypointnet: A large-scale 3d keypoint dataset aggregated from numerous human annotations Y You, Y Lou, C Li, Z Cheng, L Li, L Ma, C Lu, W Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 60 | 2020 |
| Estimating 6D pose from localizing designated surface keypoints Z Zhao, G Peng, H Wang, HS Fang, C Li, C Lu arXiv preprint arXiv:1812.01387, 2018 | 41 | 2018 |
| Canonical voting: Towards robust oriented bounding box detection in 3d scenes Y You, Z Ye, Y Lou, C Li, YL Li, L Ma, W Wang, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 12 | 2022 |
| Semantic correspondence via 2d-3d-2d cycle Y You, C Li, Y Lou, Z Cheng, L Ma, C Lu, W Wang arXiv preprint arXiv:2004.09061, 2020 | 9 | 2020 |
| Fine-grained object semantic understanding from correspondences Y You, C Li, Y Lou, Z Cheng, L Li, L Ma, W Wang, C Lu arXiv preprint arXiv:1912.12577, 2019 | 4 | 2019 |
| PyVBMC: Efficient Bayesian inference in Python B Huggins, C Li, M Tobaben, MJ Aarnos, L Acerbi Journal of Open Source Software 8 (86), 5428, 2023 | 3 | 2023 |
| Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean Y Nie, C Li, M Vancoppenolle, B Cheng, F Boeira Dias, X Lv, P Uotila Geoscientific Model Development 16 (4), 1395-1425, 2023 | 3 | 2023 |
| Human correspondence consensus for 3d object semantic understanding Y Lou, Y You, C Li, Z Cheng, L Li, L Ma, W Wang, C Lu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 3 | 2020 |
| Fast post-process Bayesian inference with Sparse Variational Bayesian Monte Carlo C Li, G Clarté, L Acerbi arXiv preprint arXiv:2303.05263, 2023 | 1 | 2023 |
| Understanding Pixel-Level 2D Image Semantics With 3D Keypoint Knowledge Engine Y You, C Li, Y Lou, Z Cheng, L Li, L Ma, W Wang, C Lu IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5780-5795, 2021 | 1 | 2021 |
