Lei Li
PhD fellow
Machine Learning
Universitetsparken 1
2100 København Ø
- 2024
- Published
T2 of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models
Cai, C., Zhao, X., Du, Y., Liu, H. & Li, Lei, 23 May 2024, arXiv.org, 16 p.Research output: Working paper › Preprint › Research
- Published
CMU-Flownet: Exploring Point Cloud Scene Flow Estimation in Occluded Scenario
Chen, J., Yao, J., Lin, Q. & Li, Lei, 16 Apr 2024, arXiv.org, 14 p.Research output: Working paper › Preprint › Research
- Published
CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs
Shi, J., Li, J., Ma, Q., Yang, Z., Ma, H. & Li, Lei, 31 Mar 2024, arxiv.org, 15 p.Research output: Working paper › Preprint › Research
- Published
Word Order's Impacts: Insights from Reordering and Generation Analysis
Zhao, Q., Li, Jiaang, Li, Lei, Zhou, Z. & Liu, J., 18 Mar 2024, arXiv.org, 9 p.Research output: Working paper › Preprint › Research
- Published
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation
Wang, Z., Zheng, J., Zhang, Y., Cui, G. & Li, Lei, 7 Feb 2024, arXiv.org, 10 p.Research output: Working paper › Preprint › Research
- Published
- 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, p. 6130-6140Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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, p. 502-511Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Contributions to Deep Learning for Computer Vision Applied to Environmental Remote Sensing and Human Face and Pose Analysis
Li, Lei, 2024, Department of Computer Science, Faculty of Science, University of Copenhagen. 109 p.Research output: Book/Report › Ph.D. thesis › Research
- 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
ID: 249142638
Most downloads
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75
downloads
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
50
downloads
Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
43
downloads
Hierarchical Edge Aware Learning for 3D Point Cloud
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published