http://pamitc.org/cvpr14/program.PHP
1.
The Secrets of SalientObject Segmentation Yin Li, Xiaodi Hou, Christof Koch, James Rehg, Alan Yuille
2.
Salient Region Detectionvia High-Dimensional Color Transform Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Junmo Kim
3.
Learning optimal features for salient object detection
Song Lu, Vijay Mahadevan, Nuno Vasconcelos
4.
Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images Eleonora Vig, Michael Dorr, David Cox
5.
Saliency Detection on Light Fields Nianyi Li, Jinwei Ye, Yu Ji, Haibin Ling, Jingyi Yu
6.
Saliency Optimization from Robust Background Detection Wangjiang Zhu, Shuang Liang, Yichen Wei, Jian Sun
7.
Time-Mapping UsingSpace-Time Saliency
Feng Zhou, Sing Bing Kang, Michael Cohen
8.
Adaptive PartialDifferential Equation Learning for Visual Saliency Detection Risheng Liu, Zhouchen Lin, Shiguang Shan
9.
Context Driven Scene Parsingwith Attention to Rare Classes Jimei Yang, Brian Price, Scott Cohen, Ming-Hsuan Yang
10.
Compuer vision vs. humanvision: What can be learned? Ali Borji, Laurent Itti
11.
Partial Symmetry inPolynomial Systems and Its Application in Computer Vision Yubin Kuang, Yinqiang Zheng, Kalle Astroem
12.
Empirical Minimum BayesRisk Prediction: How to extract an extra few % performance from vision modelswith just three more parameters Vittal Premachandran, Daniel Tarlow, Dhruv Batra
13.
Predicting Failures ofVision Systems
Peng Zhang, Jiuling Wang,Ali Farhadi, Martial Hebert, Devi Parikh
14.
Looking Beyond the VisibleScene
Joseph Lim, Aditya Khosla, Antonio Torralba, Byoungkwon An An
