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At CVPR 2016 in Las Vegas, the Best Paper Award went to "Deep Residual Learning for Image Recognition" by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun. Google Scholar later reported it as the most cited research paper over five years.
A Google Research team trained a 9-layer sparse autoencoder on 10 million unlabeled images, reported a face detector learned without face labels, and reached 15.8% accuracy on 20,000 ImageNet categories.
In October 2010 Google said its self-driving cars had driven more than 140,000 miles on public roads, and reported that the only crash was a car rear-ended at a traffic light.
The Conference on Computer Vision and Pattern Recognition (CVPR) held its first meeting in Washington, DC in 1983, organised by Takeo Kanade and Dana H. Ballard. It became one of the central venues where computer vision research is presented and compared.
