一、2018 Awards
-
Best Paper Award
-
"Taskonomy: Disentangling Task Transfer Learning" by Amir R. Zamir, Alexander Sax, William Shen, Leonidas J. Guibas, Jitendra Malik, and Silvio Savarese.
-
-
Best Student Paper Award
-
"Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies" by Hanbyul Joo, Tomas Simon, and Yaser Sheikh.
-
-
Honorable Mention
-
"Deep Learning of Graph Matching" by Andrei Zanfir, Cristian Sminchisescu.
-
"SPLATNet: Sparse Lattice Networks for Point Cloud Processing" by Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz.
-
"CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM" by Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison.
-
"Efficient Optimization for Rank-Based Loss Functions" by Pritish Mohapatra, Michal Rolínek, C.V. Jawahar, Vladimir Kolmogorov, M. Pawan Kumar.
-
二、2017 Awards
- Best Paper Awards
-
Densely Connected Convolutional Networks by Gao Huang, Zhuang Liu, Laurens van der Maaten, & Kilian Q. Weinberger (Presented Sun July 23 in Oral 2-1A)
- Learning from Simulated and Unsupervised Images through Adversarial Training by Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, & Russell Webb (Presented Sun July 23 in Oral 2-1A)
- 论文下载地址
- Best Paper Honorable Mention Awards
- Annotating Object Instances with a Polygon-RNN by Lluís Castrejón, Kaustav Kundu, Raquel Urtasun, & Sanja Fidler (Presented Mon July 24 in Oral 3-1B)
- 论文下载地址
- YOLO9000: Better, Faster, Stronger by Joseph Redmon & Ali Farhadi (Presented Tues July 25 in Oral 4-2A)
- 论文下载地址
- Best Student Paper Award
- Computational Imaging on the Electric Grid by Mark Sheinin, Yoav Y. Schechner, & Kiriakos N. Kutulakos (Presented Sun July 23 in Oral 2-1B)
- 论文下载地址
三、2016 Awards
- Best paper
- Deep Residual Learning for Image Recognition, Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
- 论文下载地址
- Best paper honorable mention
- Sublabel-Accurate Relaxation of Nonconvex Energies., Thomas Möllenhoff, Emanuel Laude, Michael Moeller, Jan Lellmann, Daniel Cremers
- 论文下载地址
- Best student paper
- Structural-RNN: Deep Learning on Spatio-Temporal Graphs, Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena
- 论文下载地址