5 code implementations • 27 Feb 2017 • Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison Cottrell
This framework 1) effectively enlarges the receptive fields (RF) of the network to aggregate global information; 2) alleviates what we call the "gridding issue" caused by the standard dilated convolution operation.
Ranked #20 on Semantic Segmentation on PASCAL VOC 2012 test
3 code implementations • 4 Jan 2017 • Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou
Neural Style Transfer has recently demonstrated very exciting results which catches eyes in both academia and industry.
1 code implementation • ICCV 2017 • Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou
Although Deep Convolutional Neural Networks (CNNs) have liberated their power in various computer vision tasks, the most important components of CNN, convolutional layers and fully connected layers, are still limited to linear transformations.
1 code implementation • 15 Mar 2016 • Yanghao Li, Naiyan Wang, Jianping Shi, Jiaying Liu, Xiaodi Hou
However, it is still a common annoyance during the training phase, that one has to prepare at least thousands of labeled images to fine-tune a network to a specific domain.
1 code implementation • CVPR 2014 • Yin Li, Xiaodi Hou, Christof Koch, James M. Rehg, Alan L. Yuille
The dataset design bias does not only create the discomforting disconnection between fixations and salient object segmentation, but also misleads the algorithm designing.
no code implementations • CVPR 2013 • Xiaodi Hou, Alan Yuille, Christof Koch
For an ill-posed problem like boundary detection, human labeled datasets play a critical role.
no code implementations • NeurIPS 2008 • Xiaodi Hou, Liqing Zhang
A visual attention system should respond placidly when common stimuli are presented, while at the same time keep alert to anomalous visual inputs.