Peter Welinder, Ph.D.
Affiliations: | 2012 | Computation and Neural Systems | California Institute of Technology, Pasadena, CA |
Area:
visionGoogle:
"Peter Welinder"Mean distance: 16.79 (cluster 23) | S | N | B | C | P |
Parents
Sign in to add mentorPietro Perona | grad student | 2012 | Caltech | |
(Hybrid Human-Machine Vision Systems: Image Annotation using Crowds, Experts and Machines.) |
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Publications
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Welinder P, Welling M, Perona P. (2013) A lazy man's approach to benchmarking: Semisupervised classifier evaluation and recalibration Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3262-3269 |
Welinder P, Perona P. (2010) Online crowdsourcing: Rating annotators and obtaining cost-effective labels 2010 Ieee Computer Society Conference On Computer Vision and Pattern Recognition - Workshops, Cvprw 2010. 25-32 |
Dollár P, Welinder P, Perona P. (2010) Cascaded pose regression Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1078-1085 |
Branson S, Wah C, Schroff F, et al. (2010) Visual recognition with humans in the loop Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6314: 438-451 |
Welinder P, Branson S, Belongie S, et al. (2010) The multidimensional wisdom of crowds Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 |
Aly M, Welinder P, Munich M, et al. (2009) Automatic discovery of image families: Global vs. local features Proceedings - International Conference On Image Processing, Icip. 777-780 |
Aly M, Welinder P, Munich M, et al. (2009) Scaling object recognition: Benchmark of current state of the art techniques 2009 Ieee 12th International Conference On Computer Vision Workshops, Iccv Workshops 2009. 2117-2124 |
Aly M, Welinder P, Munich M, et al. (2009) Towards automated large scale discovery of image families 2009 Ieee Conference On Computer Vision and Pattern Recognition, Cvpr 2009. 9-16 |