DeepVision: Deep Learning in Computer Vision


Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association
Bing Wang,
Li Wang,
Bing Shuai,
Zhen Zuo,
Ting Liu,
Kap Luk Chan,
Gang Wang
[pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR_Workshops,
author = {Wang, Bing and Wang, Li and Shuai, Bing and Zuo, Zhen and Liu, Ting and Luk Chan, Kap and Wang, Gang},
title = {Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}

Faster R-CNN Features for Instance Search
Amaia Salvador,
Xavier Giro-i-Nieto,
Ferran Marques,
Shin'ichi Satoh
[pdf]
[bibtex]
@InProceedings{Salvador_2016_CVPR_Workshops,
author = {Salvador, Amaia and Giro-i-Nieto, Xavier and Marques, Ferran and Satoh, Shin'ichi},
title = {Faster R-CNN Features for Instance Search},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}

Deep End2End Voxel2Voxel Prediction
Du Tran,
Lubomir Bourdev,
Rob Fergus,
Lorenzo Torresani,
Manohar Paluri
[pdf]
[bibtex]
@InProceedings{Tran_2016_CVPR_Workshops,
author = {Tran, Du and Bourdev, Lubomir and Fergus, Rob and Torresani, Lorenzo and Paluri, Manohar},
title = {Deep End2End Voxel2Voxel Prediction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}

Adversarial Diversity and Hard Positive Generation
Andras Rozsa,
Ethan M. Rudd,
Terrance E. Boult
[pdf]
[bibtex]
@InProceedings{Rozsa_2016_CVPR_Workshops,
author = {Rozsa, Andras and Rudd, Ethan M. and Boult, Terrance E.},
title = {Adversarial Diversity and Hard Positive Generation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}

Learning by Tracking: Siamese CNN for Robust Target Association
Laura Leal-Taixe,
Cristian Canton-Ferrer,
Konrad Schindler
[pdf]
[bibtex]
@InProceedings{Leal-Taixe_2016_CVPR_Workshops,
author = {Leal-Taixe, Laura and Canton-Ferrer, Cristian and Schindler, Konrad},
title = {Learning by Tracking: Siamese CNN for Robust Target Association},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}

ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation
Francesco Visin,
Marco Ciccone,
Adriana Romero,
Kyle Kastner,
Kyunghyun Cho,
Yoshua Bengio,
Matteo Matteucci,
Aaron Courville
[pdf]
[bibtex]
@InProceedings{Visin_2016_CVPR_Workshops,
author = {Visin, Francesco and Ciccone, Marco and Romero, Adriana and Kastner, Kyle and Cho, Kyunghyun and Bengio, Yoshua and Matteucci, Matteo and Courville, Aaron},
title = {ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}

Rich Image Captioning in the Wild
Kenneth Tran,
Xiaodong He,
Lei Zhang,
Jian Sun,
Cornelia Carapcea,
Chris Thrasher,
Chris Buehler,
Chris Sienkiewicz
[pdf]
[bibtex]
@InProceedings{Tran_2016_CVPR_Workshops,
author = {Tran, Kenneth and He, Xiaodong and Zhang, Lei and Sun, Jian and Carapcea, Cornelia and Thrasher, Chris and Buehler, Chris and Sienkiewicz, Chris},
title = {Rich Image Captioning in the Wild},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2016}
}