Lei Li

Lei Li

Ph.d.-stipendiat


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  1. Udgivet

    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, I: Remote Sensing. 14, 16, 22 s., 3912.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  2. Udgivet

    Attention-Guided Pyramid Context Networks for Detecting Infrared Small Target Under Complex Background

    Zhang, T., Li, Lei, Cao, S., Pu, T. & Peng, Z., 2023, I: IEEE Transactions on Aerospace and Electronic Systems. 59, 4, s. 4250 - 4261 13 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  3. Udgivet

    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 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

  4. Udgivet

    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 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

  5. Udgivet

    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. (red.). Association for Computing Machinery, Inc., s. 1-4 38

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  6. Udgivet

    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, I: Remote Sensing of Environment. 302, 21 s., 113968.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  7. Udgivet

    Efficient Domain Adaptation via Generative Prior for 3D Infant Pose Estimation

    Zhou, Z., Jiang, Z., Chai, W., Yang, C., Li, Lei & Hwang, J., 2024, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 9 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

  8. Udgivet

    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. (red.). Springer, s. 81-92 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14495).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  9. Udgivet

    Incentive Mechanism for Uncertain Tasks under Differential Privacy

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

    Publikation: Working paper › Preprint › Forskning

  10. 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) I: IEEE Transactions on Services Computing. 12 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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