Lei Li
Ph.d.-stipendiat
Machine Learning
Universitetsparken 1
2100 København Ø
- 2024
- 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
- 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
- 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
- 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
- Udgivet
RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection
Wu, F., Zhang, T., Li, Lei, Huang, Y. & Peng, Z., 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
- Udgivet
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. (red.). Springer, s. 155-166 (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
- 2023
- Udgivet
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing
Zhang, T., Li, Lei, Igel, Christian, Oehmcke, Stefan, Gieseke, F. & Peng, Z., 2023, 2022 IEEE International Conference on Computer and Communications (ICCC), Chengdu, China. IEEE, s. 1951-1957Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2022
- 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 38Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
ID: 249142638
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Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Incentive Mechanism for Uncertain Tasks under Differential Privacy
Publikation: Working paper › Preprint › Forskning
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Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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