Year |
Citation |
Score |
2016 |
Shao JH, Deng YM, Jia N, Li RR, Cao JX, Liu DY, Li JR. Low-field NMR determination of water distribution in meat batters with NaCl and polyphosphate addition. Food Chemistry. 200: 308-14. PMID 26830593 DOI: 10.1016/j.foodchem.2016.01.013 |
0.31 |
|
2016 |
Li R, Nie W, Shang Z, Cheng C, Akhmadaliev S, Zhou S, Lu Q, Chen F. Guided-wave second harmonics in Nd:YCOB ridge waveguides produced by combination of carbon ion irradiation and precise diamond blade dicing Optical Materials. 57: 153-157. DOI: 10.1016/j.optmat.2016.04.043 |
0.342 |
|
2015 |
Wang Y, Liu C, Zhang CC, Li R, Liu H, Ou XL, Li HX, Sun HY. Analysis of 24 Y-STR haplotype data in a Chinese Han population from Guangdong Province. International Journal of Legal Medicine. PMID 26668007 DOI: 10.1007/s00414-015-1301-4 |
0.419 |
|
2015 |
Zheng Y, Liang JM, Gao HY, Yang ZW, Jia FJ, Liang YZ, Fang F, Li R, Xie SN, Zhuo JM. An Open-label, Self-control, Prospective Study on Cognitive Function, Academic Performance, and Tolerability of Osmotic-release Oral System Methylphenidate in Children with Attention-deficit Hyperactivity Disorder. Chinese Medical Journal. 128: 2988-2997. PMID 26608976 DOI: 10.4103/0366-6999.168948 |
0.423 |
|
2015 |
Gopalan R, Li R, Patel VM, Chellappa R. Introduction: Domain adaptation for visual recognition Foundations and Trends in Computer Graphics and Vision. 8: 286-378. DOI: 10.1561/0600000057 |
0.634 |
|
2015 |
Patel VM, Gopalan R, Li R, Chellappa R. Visual Domain Adaptation: A survey of recent advances Ieee Signal Processing Magazine. 32: 53-69. DOI: 10.1109/Msp.2014.2347059 |
0.664 |
|
2014 |
Li R, Turaga P, Srivastava A, Chellappa R. Differential geometric representations and algorithms for some pattern recognition and computer vision problems Pattern Recognition Letters. 43: 3-16. DOI: 10.1016/J.Patrec.2013.09.019 |
0.658 |
|
2013 |
Gopalan R, Li R, Chellappa R. Unsupervised Adaptation Across Domain Shifts By Generating Intermediate Data Representations. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 24344080 |
0.615 |
|
2013 |
Li R, Chellappa R. Spatiotemporal Alignment of Visual Signals on a Special Manifold. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 697-715. PMID 22778150 DOI: 10.1109/Tpami.2012.144 |
0.48 |
|
2013 |
Li R, Chellappa R, Zhou SK. Recognizing interactive group activities using temporal interaction matrices and their riemannian statistics International Journal of Computer Vision. 101: 305-328. DOI: 10.1007/S11263-012-0573-0 |
0.598 |
|
2011 |
Gopalan R, Li R, Chellappa R. Domain adaptation for object recognition: An unsupervised approach Proceedings of the Ieee International Conference On Computer Vision. 999-1006. DOI: 10.1109/ICCV.2011.6126344 |
0.612 |
|
2010 |
Li R, Chellappa R. Recognizing offensive strategies from football videos Proceedings - International Conference On Image Processing, Icip. 4585-4588. DOI: 10.1109/ICIP.2010.5652192 |
0.413 |
|
2010 |
Li R, Chellappa R. Group motion segmentation using a spatio-temporal driving force model Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2038-2045. DOI: 10.1109/CVPR.2010.5539880 |
0.411 |
|
2010 |
Li R, Chellappa R. Aligning spatio-temporal signals on a special manifold Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6315: 547-560. DOI: 10.1007/978-3-642-15555-0_40 |
0.416 |
|
2009 |
Li R, Chellappa R. Recognizing coordinated multi-object activities using a dynamic event ensemble model Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3541-3544. DOI: 10.1109/ICASSP.2009.4960390 |
0.47 |
|
2009 |
Li R, Chellappa R, Zhou SK. Learning multi-modal densities on discriminative temporal interaction manifold for group activity recognition 2009 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops 2009. 2450-2457. DOI: 10.1109/CVPRW.2009.5206676 |
0.576 |
|
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