Xilai Li

Orcid: 0000-0001-9859-8191

According to our database1, Xilai Li authored at least 18 papers between 2017 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Decomposition-based and Interference Perception for Infrared and Visible Image Fusion in Complex Scenes.
CoRR, 2024

Physical Perception Network and an All-weather Multi-modality Benchmark for Adverse Weather Image Fusion.
CoRR, 2024

SAMF: Small-Area-Aware Multi-focus Image Fusion for Object Detection.
CoRR, 2024

Bridging the Gap between Multi-focus and Multi-modal: A Focused Integration Framework for Multi-modal Image Fusion.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
CBFM: Contrast Balance Infrared and Visible Image Fusion Based on Contrast-Preserving Guided Filter.
Remote. Sens., June, 2023

Research on land cover type classification method based on improved MaskFormer for remote sensing images.
PeerJ Comput. Sci., 2023

DCTX-Conformer: Dynamic context carry-over for low latency unified streaming and non-streaming Conformer.
CoRR, 2023

Dynamic Chuck Convolution for Unified Streaming And Non-streaming Conformer ASR.
CoRR, 2023

Cognitive SAR Resource Scheduling Method Based On Genetic Algorithm.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Dynamic Chunk Convolution for Unified Streaming and Non-Streaming Conformer ASR.
Proceedings of the IEEE International Conference on Acoustics, 2023

Masked Audio Text Encoders are Effective Multi-Modal Rescorers.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Multi-Focus Image Fusion Based on Hessian Matrix Decomposition and Salient Difference Focus Detection.
Entropy, 2022

2021
Improved Estimation of Aboveground Biomass of Disturbed Grassland through Including Bare Ground and Grazing Intensity.
Remote. Sens., 2021

2020
Attentive Normalization.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting.
Proceedings of the 36th International Conference on Machine Learning, 2019

AOGNets: Compositional Grammatical Architectures for Deep Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
AOGNets: Deep AND-OR Grammar Networks for Visual Recognition.
CoRR, 2017

Interpretable R-CNN.
CoRR, 2017


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