Yuxuan Li

Orcid: 0000-0002-0613-3969

Affiliations:
  • Nankai University, PCA Lab, VCIP, College of Computer Science, Tianjin, China
  • Nanjing University of Science and Technology (NJUST), Department of Computer Science and Technology, China (PhD 2020)


According to our database1, Yuxuan Li authored at least 15 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing.
CoRR, May, 2025

DenoDet: Attention as Deformable Multisubspace Feature Denoising for Target Detection in SAR Images.
IEEE Trans. Aerosp. Electron. Syst., April, 2025

LSKNet: A Foundation Lightweight Backbone for Remote Sensing.
Int. J. Comput. Vis., March, 2025

Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection.
CoRR, January, 2025

MoCoLSK: Modality-Conditioned High-Resolution Downscaling for Land Surface Temperature.
IEEE Trans. Geosci. Remote. Sens., 2025

RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Pick of the Bunch: Detecting Infrared Small Targets Beyond Hit-Miss Trade-Offs via Selective Rank-Aware Attention.
IEEE Trans. Geosci. Remote. Sens., 2024

SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection.
CoRR, 2024

DenseVLM: A Retrieval and Decoupled Alignment Framework for Open-Vocabulary Dense Prediction.
CoRR, 2024

GrokLST: Towards High-Resolution Benchmark and Toolkit for Land Surface Temperature Downscaling.
CoRR, 2024

SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
APF-GAN: Exploring asymmetric pre-training and fine-tuning strategy for conditional generative adversarial network.
Comput. Vis. Media, February, 2023

Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?
CoRR, 2023

Large Selective Kernel Network for Remote Sensing Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Spatial Group-Wise Enhance: Enhancing Semantic Feature Learning in CNN.
Proceedings of the Computer Vision - ACCV 2022, 2022


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