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Title
Cited by
Cited by
Year
Discriminative and Geometry-Aware Unsupervised Domain Adaptation
L Luo, L Chen, S Hu, Y Lu, X Wang
IEEE Transactions on Cybernetics, 2020
662020
Combining geometric, textual and visual features for predicting prepositions in image descriptions
A Ramisa, JK Wang, Y Lu, E Dellandrea, F Moreno-Noguer, ...
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
322015
Knowledge Transfer in Vision Recognition: A Survey
Y Lu, L Luo, D Huang, Y Wang, L Chen
ACM Computing Surveys (CSUR) 53 (2), 1-35, 2020
262020
Discriminative transfer learning using similarities and dissimilarities
Y Lu, L Chen, A Saidi, E Dellandrea, Y Wang
IEEE transactions on neural networks and learning systems 29 (7), 3097-3110, 2017
152017
Optimal transport for deep joint transfer learning
Y Lu, L Chen, A Saidi
arXiv preprint arXiv:1709.02995, 2017
122017
Transfer Learning for Image Classification
Y Lu
Lyon, 2017
62017
Brenier approach for optimal transportation between a quasi-discrete measure and a discrete measure
Y Lu, L Chen, A Saidi, X Gu
International Workshop on Representations, Analysis and Recognition of Shape …, 2017
22017
Learning visual categories through a sparse representation classifier based cross-category knowledge transfer
Y Lu, L Chen, A Saidi, Z Zhang, Y Wang
2014 IEEE International Conference on Image Processing (ICIP), 165-169, 2014
12014
Combining geometric, textual and visual features for predicting prepositions in image descriptions
A Ramisa Ayats, J Wang, Y Lu, E Dellandrea, F Moreno-Noguer, ...
Proceedings of the 2015 EMNLP Conference on Empirical Methods in Natural …, 2016
2016
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