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Employment (1)

Beijing University of Posts and Telecommunications: Beijing, Beijing, CN

2021-09-08 to present | Associate Professor (School of Artificial Intelligence)
Employment
Source: Self-asserted source
Ke Li

Works (9)

CDAD: A Common Daily Action Dataset with Collected Hard Negative Samples

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2022 | Conference paper
Source: Self-asserted source
Ke Li

Variational attention: Propagating domain-specific knowledge for multi-domain learning in crowd counting

Proceedings of the IEEE/CVF International Conference on Computer Vision
2021 | Conference paper
Source: Self-asserted source
Ke Li

Generalising fine-grained sketch-based image retrieval

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2019 | Conference paper
Source: Self-asserted source
Ke Li

Toward deep universal sketch perceptual grouper

IEEE Transactions on Image Processing
2019 | Journal article
Source: Self-asserted source
Ke Li

Universal sketch perceptual grouping

Proceedings of the european conference on computer vision (ECCV)
2018 | Conference paper
Source: Self-asserted source
Ke Li

Synergistic instance-level subspace alignment for fine-grained sketch-based image retrieval

IEEE Transactions on Image Processing
2017 | Journal article
Source: Self-asserted source
Ke Li

Cross-modal face matching: Tackling visual abstraction using fine-grained attributes

2016 Visual Communications and Image Processing (VCIP)
2016 | Conference paper
Source: Self-asserted source
Ke Li

Cross-modal subspace learning for sketch-based image retrieval: A comparative study

2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)
2016 | Conference paper
Source: Self-asserted source
Ke Li

Fine-grained sketch-based image retrieval: The role of part-aware attributes

2016 IEEE Winter Conference on Applications of Computer Vision (WACV)
2016 | Conference paper
Source: Self-asserted source
Ke Li
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