Lining Zhang, Hubert P. H. Shum, Li Liu, Guodong Guo and Ling Shao, "Multiview Discriminative Marginal Metric Learning for Makeup Face Verification," Neurocomputing, vol. 333, pp. 339-350, Elsevier, 2019.
Bibtex
@article{zhang19multiview, author={Zhang, Lining and Shum, Hubert P. H. and Liu, Li and Guo, Guodong and Shao, Ling}, journal={Neurocomputing}, title={Multiview Discriminative Marginal Metric Learning for Makeup Face Verification}, year={2019}, volume={333}, pages={339--350}, numpages={12}, doi={10.1016/j.neucom.2018.12.003}, issn={0925-2312}, publisher={Elsevier}, }
RIS
TY - JOUR AU - Zhang, Lining AU - Shum, Hubert P. H. AU - Liu, Li AU - Guo, Guodong AU - Shao, Ling T2 - Neurocomputing TI - Multiview Discriminative Marginal Metric Learning for Makeup Face Verification PY - 2019 VL - 333 SP - 339 EP - 350 DO - 10.1016/j.neucom.2018.12.003 SN - 0925-2312 PB - Elsevier ER -
Lining Zhang, Hubert P. H. Shum and Ling Shao, "Manifold Regularized Experimental Design for Active Learning," IEEE Transactions on Image Processing, vol. 26, no. 2, pp. 969-981, IEEE, Feb 2017.
Bibtex
@article{zhang17manifold, author={Zhang, Lining and Shum, Hubert P. H. and Shao, Ling}, journal={IEEE Transactions on Image Processing}, title={Manifold Regularized Experimental Design for Active Learning}, year={2017}, month={2}, volume={26}, number={2}, pages={969--981}, numpages={14}, doi={10.1109/TIP.2016.2635440}, issn={1057-7149}, publisher={IEEE}, }
RIS
TY - JOUR AU - Zhang, Lining AU - Shum, Hubert P. H. AU - Shao, Ling T2 - IEEE Transactions on Image Processing TI - Manifold Regularized Experimental Design for Active Learning PY - 2017 Y1 - 2 2017 VL - 26 IS - 2 SP - 969 EP - 981 DO - 10.1109/TIP.2016.2635440 SN - 1057-7149 PB - IEEE ER -
Lining Zhang, Hubert P. H. Shum and Ling Shao, "Discriminative Semantic Subspace Analysis for Relevance Feedback," IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1275-1287, IEEE, Mar 2016.
Bibtex
@article{zhang16discriminative, author={Zhang, Lining and Shum, Hubert P. H. and Shao, Ling}, journal={IEEE Transactions on Image Processing}, title={Discriminative Semantic Subspace Analysis for Relevance Feedback}, year={2016}, month={3}, volume={25}, number={3}, pages={1275--1287}, numpages={13}, doi={10.1109/TIP.2016.2516947}, issn={1057-7149}, publisher={IEEE}, }
RIS
TY - JOUR AU - Zhang, Lining AU - Shum, Hubert P. H. AU - Shao, Ling T2 - IEEE Transactions on Image Processing TI - Discriminative Semantic Subspace Analysis for Relevance Feedback PY - 2016 Y1 - 3 2016 VL - 25 IS - 3 SP - 1275 EP - 1287 DO - 10.1109/TIP.2016.2516947 SN - 1057-7149 PB - IEEE ER -
Jingtian Zhang, Lining Zhang, Hubert P. H. Shum and Ling Shao, "Arbitrary View Action Recognition via Transfer Dictionary Learning on Synthetic Training Data," in ICRA '16: Proceedings of the 2016 IEEE International Conference on Robotics and Automation, pp. 1678-1684, Stockholm, Sweden, IEEE, May 2016.
Bibtex
@inproceedings{zhang16arbitrary, author={Zhang, Jingtian and Zhang, Lining and Shum, Hubert P. H. and Shao, Ling}, booktitle={Proceedings of the 2016 IEEE International Conference on Robotics and Automation}, series={ICRA '16}, title={Arbitrary View Action Recognition via Transfer Dictionary Learning on Synthetic Training Data}, year={2016}, month={5}, pages={1678--1684}, numpages={8}, doi={10.1109/ICRA.2016.7487309}, publisher={IEEE}, location={Stockholm, Sweden}, }
RIS
TY - CONF AU - Zhang, Jingtian AU - Zhang, Lining AU - Shum, Hubert P. H. AU - Shao, Ling T2 - Proceedings of the 2016 IEEE International Conference on Robotics and Automation TI - Arbitrary View Action Recognition via Transfer Dictionary Learning on Synthetic Training Data PY - 2016 Y1 - 5 2016 SP - 1678 EP - 1684 DO - 10.1109/ICRA.2016.7487309 PB - IEEE ER -
< ref name="zhang16arbitrary">{{cite conference |last1=Zhang |first1=Jingtian |last2=Zhang |first2=Lining |last3=Shum |first3=Hubert P. H. |last4=Shao |first4=Ling |title=Arbitrary View Action Recognition via Transfer Dictionary Learning on Synthetic Training Data |date=2016 |pages=1678--1684 |doi=10.1109/ICRA.2016.7487309 |publisher=IEEE |url=http://doi.org/10.1109/ICRA.2016.7487309 }}< /ref>