* Densely Connected Convolutional Networks [0] by Gao Huang, Zhuang Liu, Laurens van der Maaten, & Kilian Q. Weinberger.<p>* Learning from Simulated and Unsupervised Images through Adversarial Training [1] by Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, & Russell Webb<p>CVPR 2017 Best Paper Honorable Mention Awards<p>* Annotating Object Instances with a Polygon-RNN [2] by Lluís Castrejón, Kaustav Kundu, Raquel Urtasun, & Sanja Fidler
* YOLO9000: Better, Faster, Stronger [3] by Joseph Redmon & Ali Farhadi<p>CVPR 2017 Best Student Paper Award<p>* Computational Imaging on the Electric Grid [4] by Mark Sheinin, Yoav Y. Schechner, & Kiriakos N. Kutulakos<p>CVPR 2017 Longuet-Higgins Prize (for cvpr 2007 papers that stood the test of time)<p>* Object Retrieval with Large Vocabularies and Fast Spatial Matching [5] by James Philbin, Ondrej Chum, Michael Isard, Josef Sivic & Andrew Zisserman<p>CVPR 2017 PAMI Young Researcher Award<p>* Ross Girshick & Julien Mairal<p>[0] <a href="https://arxiv.org/abs/1608.06993" rel="nofollow">https://arxiv.org/abs/1608.06993</a><p>[1] <a href="https://arxiv.org/abs/1612.07828" rel="nofollow">https://arxiv.org/abs/1612.07828</a><p>[2] <a href="https://arxiv.org/abs/1704.05548" rel="nofollow">https://arxiv.org/abs/1704.05548</a><p>[3] <a href="https://arxiv.org/abs/1612.08242" rel="nofollow">https://arxiv.org/abs/1612.08242</a><p>[4] <a href="http://openaccess.thecvf.com/content_cvpr_2017/papers/Sheinin_Computational_Imaging_on_CVPR_2017_paper.pdf" rel="nofollow">http://openaccess.thecvf.com/content_cvpr_2017/papers/Sheini...</a><p>[5] <a href="http://ieeexplore.ieee.org/document/4270197/" rel="nofollow">http://ieeexplore.ieee.org/document/4270197/</a>