Lei Li

Lei Li

PhD fellow


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  1. E-pub ahead of print

    Incentive Mechanism for Uncertain Tasks under Differential Privacy

    Jiang, Xikun, Ying, C., Li, Lei, Duedder, Boris, Wu, Haiqin, Jin, H. & Luo, Y., 2024, (E-pub ahead of print) In: IEEE Transactions on Services Computing. 12 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  2. Published

    Incentive Mechanism for Uncertain Tasks under Differential Privacy

    Jiang, Xikun, Ying, C., Li, Lei, Wu, Haiqin, Luo, Y. & Duedder, Boris, 26 May 2023, arxiv.org, 15 p.

    Research output: Working paper › Preprint

  3. Published

    Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation

    Jiang, Z., Zhou, Z., Li, Lei, Chai, W., Yang, C. & Hwang, J., 2024, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 11 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

  4. Published

    CPSeg: Finer-grained Image Semantic Segmentation via Chain-of-Thought Language Prompting

    Li, Lei, 2024, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

  5. Published

    Mask-FPAN: Semi-supervised face parsing in the wild with de-occlusion and UV GAN

    Li, Lei, Zhang, T., Kang, Zhongfeng & Jiang, Xikun, 2023, In: Computers and Graphics (Pergamon). 116, p. 185-193 9 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    Segment Any Building

    Li, Lei, 2024, Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Proceedings. Sheng, B., Bi, L., Kim, J., Magnenat-Thalmann, N. & Thalmann, D. (eds.). Springer, p. 155-166 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14495).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. Published

    Hierarchical Edge Aware Learning for 3D Point Cloud

    Li, Lei, 2024, Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Proceedings. Sheng, B., Bi, L., Kim, J., Magnenat-Thalmann, N. & Thalmann, D. (eds.). Springer, p. 81-92 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14495).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. Published

    Deep learning based 3D point cloud regression for estimating forest biomass

    Oehmcke, Stefan, Li, Lei, Caballer Revenga, Jaime, Nord-Larsen, Thomas, Trepekli, Aikaterini, Gieseke, F. & Igel, Christian, 1 Nov 2022, 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2022. Renz, M., Sarwat, M., Nascimento, M. A., Shekhar, S. & Xie, X. (eds.). Association for Computing Machinery, Inc., p. 1-4 38

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. Published

    Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR

    Oehmcke, Stefan, Li, Lei, Trepekli, Aikaterini, Caballer Revenga, Jaime, Nord-Larsen, Thomas, Gieseke, Fabian Cristian & Igel, Christian, 2024, In: Remote Sensing of Environment. 302, 21 p., 113968.

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. Published

    Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

    Caballer Revenga, Jaime, Trepekli, Aikaterini, Oehmcke, Stefan, Jensen, Rasmus, Li, Lei, Igel, Christian, Gieseke, Fabian Cristian & Friborg, Thomas, 2022, In: Remote Sensing. 14, 16, 22 p., 3912.

    Research output: Contribution to journal › Journal article › Research › peer-review

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