Year |
Citation |
Score |
2020 |
Tang Y, Gao R, Chen Y, Gao D, Savona MR, Abramson RG, Bao S, Huo Y, Landman BA. Learning from dispersed manual annotations with an optimized data weighting policy. Journal of Medical Imaging (Bellingham, Wash.). 7: 044002. PMID 32775501 DOI: 10.1117/1.Jmi.7.4.044002 |
0.332 |
|
2016 |
Gao D. Texture model regression for effective feature discrimination: Application to seismic facies visualization and interpretation Geophysics. 69: 958-967. DOI: 10.1190/1.1778239 |
0.356 |
|
2015 |
Dixit M, Chen S, Gao D, Rasiwasia N, Vasconcelos N. Scene classification with semantic Fisher vectors Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 7: 2974-2983. DOI: 10.1109/CVPR.2015.7298916 |
0.666 |
|
2010 |
Gao D, Vasconcelos N. A decision-theoretic saliency, its biological plausibility and implications for pre-attentive vision Journal of Vision. 7: 953-953. DOI: 10.1167/7.9.953 |
0.693 |
|
2009 |
Gao D, Han S, Vasconcelos N. Discriminant saliency, the detection of suspicious coincidences, and applications to visual recognition. Ieee Transactions On Pattern Analysis and Machine Intelligence. 31: 989-1005. PMID 19372605 DOI: 10.1109/Tpami.2009.27 |
0.716 |
|
2009 |
Gao D, Vasconcelos N. Decision-theoretic saliency: computational principles, biological plausibility, and implications for neurophysiology and psychophysics. Neural Computation. 21: 239-71. PMID 19210172 DOI: 10.1162/Neco.2009.11-06-391 |
0.691 |
|
2008 |
Gao D, Mahadevan V, Vasconcelos N. On the plausibility of the discriminant center-surround hypothesis for visual saliency. Journal of Vision. 8: 13.1-18. PMID 19146246 DOI: 10.1167/8.7.13 |
0.674 |
|
2007 |
Zhou J, Gao D, Zhang D. Moving Vehicle Detection for Automatic Traffic Monitoring Ieee Transactions On Vehicular Technology. 56: 51-59. DOI: 10.1109/Tvt.2006.883735 |
0.401 |
|
2007 |
Gao D, Vasconcelos N. Bottom-up saliency is a discriminant process Proceedings of the Ieee International Conference On Computer Vision. DOI: 10.1109/ICCV.2007.4408851 |
0.678 |
|
2007 |
Gao D, Vasconcelos N. Discriminant interest points are stable Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. DOI: 10.1109/CVPR.2007.383121 |
0.555 |
|
2007 |
Gao D, Vasconcelos N. An experimental comparison of three guiding principles for the detection of salient image locations: Stability, complexity, and discrimination Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4840: 184-197. |
0.623 |
|
2005 |
Gao D, Vasconcelos N. Discriminant saliency for visual recognition from cluttered scenes Advances in Neural Information Processing Systems. |
0.642 |
|
2005 |
Gao D, Vasconcelos N. Integrated learning of saliency, complex features, and object detectors from cluttered scenes Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 282-287. |
0.617 |
|
2003 |
Gao D. Volume texture extraction for 3D seismic visualization and interpretation Geophysics. 68: 1294-1302. |
0.335 |
|
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