Robust Features for Computer Vision
Fast Image Gradients Using Binary Feature Convolutions-
[pdf]
[bibtex]@InProceedings{St-Charles_2016_CVPR_Workshops,
author = {St-Charles, Pierre-Luc and Bilodeau, Guillaume-Alexandre and Bergevin, Robert},
title = {Fast Image Gradients Using Binary Feature Convolutions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
Texture Complexity Based Redundant Regions Ranking for Object Proposal-
[pdf]
[bibtex]@InProceedings{Ke_2016_CVPR_Workshops,
author = {Ke, Wei and Zhang, Tianliang and Chen, Jie and Wan, Fang and Ye, Qixiang and Han, Zhenjun},
title = {Texture Complexity Based Redundant Regions Ranking for Object Proposal},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
Deeply Exploit Depth Information for Object Detection-
[pdf]
[bibtex]@InProceedings{Hou_2016_CVPR_Workshops,
author = {Hou, Saihui and Wang, Zilei and Wu, Feng},
title = {Deeply Exploit Depth Information for Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
Efficient Deep Feature Learning and Extraction via StochasticNets-
[pdf]
[bibtex]@InProceedings{Shafiee_2016_CVPR_Workshops,
author = {Javad Shafiee, Mohammad and Siva, Parthipan and Fieguth, Paul and Wong, Alexander},
title = {Efficient Deep Feature Learning and Extraction via StochasticNets},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
Embedding Sequential Information Into Spatiotemporal Features for Action Recognition-
[pdf]
[bibtex]@InProceedings{Ye_2016_CVPR_Workshops,
author = {Ye, Yuancheng and Tian, YingLi},
title = {Embedding Sequential Information Into Spatiotemporal Features for Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
Learning Discriminative Features With Class Encoder-
[pdf]
[bibtex]@InProceedings{Shi_2016_CVPR_Workshops,
author = {Shi, Hailin and Zhu, Xiangyu and Lei, Zhen and Liao, Shengcai and Li, Stan Z.},
title = {Learning Discriminative Features With Class Encoder},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
Do We Need Binary Features for 3D Reconstruction?-
[pdf]
[bibtex]@InProceedings{Fan_2016_CVPR_Workshops,
author = {Fan, Bin and Kong, Qingqun and Sui, Wei and Wang, Zhiheng and Wang, Xinchao and Xiang, Shiming and Pan, Chunhong and Fua, Pascal},
title = {Do We Need Binary Features for 3D Reconstruction?},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
Deep Features or Not: Temperature and Time Prediction in Outdoor Scenes-
[pdf]
[bibtex]@InProceedings{Volokitin_2016_CVPR_Workshops,
author = {Volokitin, Anna and Timofte, Radu and Van Gool, Luc},
title = {Deep Features or Not: Temperature and Time Prediction in Outdoor Scenes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
Euclidean and Hamming Embedding for Image Patch Description With Convolutional Networks-
[pdf]
[bibtex]@InProceedings{Liu_2016_CVPR_Workshops,
author = {Liu, Zishun and Li, Zhenxi and Zhang, Juyong and Liu, Ligang},
title = {Euclidean and Hamming Embedding for Image Patch Description With Convolutional Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
Robust 2DPCA and Its Application-
[pdf]
[bibtex]@InProceedings{Wang_2016_CVPR_Workshops,
author = {Wang, Qianqian and Gao, Quanxue},
title = {Robust 2DPCA and Its Application},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
Background Subtraction Using Local SVD Binary Pattern-
[pdf]
[bibtex]@InProceedings{Guo_2016_CVPR_Workshops,
author = {Guo, Lili and Xu, Dan and Qiang, Zhenping},
title = {Background Subtraction Using Local SVD Binary Pattern},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
Generating Discriminative Object Proposals via Submodular Ranking-
[pdf]
[bibtex]@InProceedings{Zhang_2016_CVPR_Workshops,
author = {Zhang, Yangmuzi and Jiang, Zhuolin and Chen, Xi and Davis, Larry S.},
title = {Generating Discriminative Object Proposals via Submodular Ranking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
Improving Gradient Histogram Based Descriptors for Pedestrian Detection in Datasets With Large Variations-
[pdf]
[bibtex]@InProceedings{Balasubramanian_2016_CVPR_Workshops,
author = {Balasubramanian, Prashanth and Pathak, Sarthak and Mittal, Anurag},
title = {Improving Gradient Histogram Based Descriptors for Pedestrian Detection in Datasets With Large Variations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
Unsupervised Robust Feature-Based Partition Ensembling to Discover Categories-
[pdf]
[bibtex]@InProceedings{Lopez-Sastre_2016_CVPR_Workshops,
author = {Lopez-Sastre, Roberto J.},
title = {Unsupervised Robust Feature-Based Partition Ensembling to Discover Categories},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}
The Best of Both Worlds: Combining Data-Independent and Data-Driven Approaches for Action Recognition-
[pdf]
[bibtex]@InProceedings{Lan_2016_CVPR_Workshops,
author = {Lan, Zhenzhong and Yu, Shoou-I and Yao, Dezhong and Lin, Ming and Raj, Bhiksha and Hauptmann, Alexander},
title = {The Best of Both Worlds: Combining Data-Independent and Data-Driven Approaches for Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}