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Knowledge Transfer in Vision Recognition: A Survey

 Ying Lu , Lingkun Luo , Di Huang , Yunhong Wang , Liming Chen
2020
Pré-publication, Document de travail hal-02101005v3

Discriminative Transfer Learning Using Similarities and Dissimilarities

 Ying Lu , Liming Chen , Alexandre Saidi , Emmanuel Dellandréa , Yunhong Wang
IEEE Transactions on Neural Networks and Learning Systems, 2018, pp.1-14. ⟨10.1109/TNNLS.2017.2705760⟩
Article dans une revue hal-02351587v1

Learning visual categories through a sparse representation classifier based cross-category knowledge transfer

 Ying Lu , Liming Chen , Alexandre Saidi , Zhaoxiang Zhang , Yunhong Wang
2014 IEEE International Conference on Image Processing (ICIP), Oct 2014, Paris, France. pp.165-169, ⟨10.1109/ICIP.2014.7025032⟩
Communication dans un congrès hal-02070162v1

Brenier approach for optimal transportation between a quasi-discrete measure and a discrete measure

 Ying Lu , Liming Chen , Alexandre Saidi , Xianfeng Gu
2019
Pré-publication, Document de travail hal-02351600v1

Combining Geometric, Textual and Visual Features for Predicting Prepositions in Image Descriptions

 Arnau Ramisa , Josiah Wang , Ying Lu , Emmanuel Dellandréa , Francesc Moreno-Noguer , et al.
Conference on Empirical Methods in Natural Language Processing, Sep 2015, Lisbon, Portugal. pp.214-220
Communication dans un congrès hal-01375638v1

Origin of Defect Tolerance in InAs/GaAs Quantum Dot Lasers Grown on Silicon

 Zizhuo Liu , Constanze Hantschmann , Mingchu Tang , Ying Lu , Jae-Seong Park , et al.
Journal of Lightwave Technology, 2020, 38, pp.240-248. ⟨10.1109/JLT.2019.2925598⟩
Article dans une revue hal-03019494v1
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