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    Author information
    First name: Mathieu
    Last name: Salzmann
    DBLP: 18/4533
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    Below you find the publications which have been written by this author.

    Show item 1 to 25 of 117  
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    Conference paper
    Thalaiyasingam Ajanthan, Richard I. Hartley, Mathieu Salzmann.
    Memory Efficient Max Flow for Multi-label Submodular MRFs.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson.
    Encouraging LSTMs to Anticipate Actions Very Early.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Kaicheng Yu, Mathieu Salzmann.
    Second-order Convolutional Neural Networks.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua.
    Imposing Hard Constraints on Deep Networks: Promises and Limitations.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez, Stephen Gould.
    Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley.
    Joint Dimensionality Reduction and Metric Learning: A Geometric Take.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
    Conference paper
    Pan Ji, Ian Reid, Ravi Garg, Hongdong Li, Mathieu Salzmann.
    Low-Rank Kernel Subspace Clustering.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez.
    Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation.
    CoRR 2017, Volume 0 (0) 2017
    Book chapter
    Mahsa Baktash, Mehrtash Tafazzoli Harandi, Mathieu Salzmann.
    Learning Domain Invariant Embeddings by Matching Distributions.
    Domain Adaptation in Computer Vision Applications. 2017 (0) 2017
    Journal article
    Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian Reid.
    Deep Subspace Clustering Networks.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson.
    Soft Correspondences in Multimodal Scene Parsing.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Pan Ji, Hongdong Li, Mathieu Salzmann, Yiran Zhong.
    Robust Multi-body Feature Tracker: A Segmentation-free Approach.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Artem Rozantsev, Mathieu Salzmann, Pascal Fua.
    Beyond Sharing Weights for Deep Domain Adaptation.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Miaomiao Liu, Mathieu Salzmann, Xuming He.
    Semantic-Aware Depth Super-Resolution in Outdoor Scenes.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Bugra Tekin, Isinsu Katircioglu, Mathieu Salzmann, Vincent Lepetit, Pascal Fua.
    Structured Prediction of 3D Human Pose with Deep Neural Networks.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley.
    Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Jose M. Alvarez, Mathieu Salzmann, Nick Barnes.
    Efficient transductive semantic segmentation.
    2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016, Lake Placid, NY, USA, March 7-10, 2016 2016 (0) 2016
    Conference paper
    Aisha Khan, Stephen Gould, Mathieu Salzmann.
    Segmentation of developing human embryo in time-lapse microscopy.
    13th IEEE International Symposium on Biomedical Imaging, ISBI 2016, Prague, Czech Republic, April 13-16, 2016 2016 (0) 2016
    Journal article
    Lachlan Horne, Jose M. Alvarez, Chris McCarthy, Mathieu Salzmann, Nick Barnes.
    Semantic labeling for prosthetic vision.
    Computer Vision and Image Understanding 2016, Volume 149 (0) 2016
    Conference paper
    Jose M. Alvarez, Mathieu Salzmann, Nick Barnes.
    Exploiting Large Image Sets for Road Scene Parsing.
    IEEE Transactions on Intelligent Transportation Systems 2016, Volume 17 (0) 2016
    Conference paper
    Xuan Wang, Mathieu Salzmann, Fei Wang, Jizhong Zhao.
    Template-Free 3D Reconstruction of Poorly-Textured Nonrigid Surfaces.
    Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VII 2016 (0) 2016
    Conference paper
    Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, Jose M. Alvarez.
    Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation.
    Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VIII 2016 (0) 2016
    Conference paper
    Miaomiao Liu, Xuming He, Mathieu Salzmann.
    Building Scene Models by Completing and Hallucinating Depth and Semantics.
    Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VI 2016 (0) 2016
    Conference paper
    Aisha Khan, Stephen Gould, Mathieu Salzmann.
    Deep Convolutional Neural Networks for Human Embryonic Cell Counting.
    Computer Vision - ECCV 2016 Workshops - Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I 2016 (0) 2016
    Conference paper
    Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, Jose M. Alvarez.
    Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation.
    CoRR 2016, Volume 0 (0) 2016
    Show item 1 to 25 of 117  

    Your query returned 117 matches in the database.