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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 130  
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    Conference paper
    Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley.
    Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods.
    IEEE Trans. Pattern Anal. Mach. Intell. 2018, Volume 40 (0) 2018
    Journal article
    Kaicheng Yu, Mathieu Salzmann.
    Statistically Motivated Second Order Pooling.
    CoRR 2018, Volume 0 (0) 2018
    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
    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
    Conference paper
    Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian D. Reid 0001.
    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
    Zeeshan Hayder, Xuming He, Mathieu Salzmann.
    Boundary-Aware Instance Segmentation.
    2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Conference paper
    Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar.
    Efficient Linear Programming for Dense CRFs.
    2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Conference paper
    Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu.
    Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference.
    2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Conference paper
    Pan Ji, Ian D. Reid 0001, Ravi Garg, Hongdong Li, Mathieu Salzmann.
    Low-Rank Kernel Subspace Clustering.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian D. Reid 0001.
    Deep Subspace Clustering Networks.
    Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA 2017 (0) 2017
    Conference paper
    Jose M. Alvarez, Mathieu Salzmann.
    Compression-aware Training of Deep Networks.
    Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA 2017 (0) 2017
    Journal article
    Jose M. Alvarez, Mathieu Salzmann.
    Compression-aware Training of Deep Networks.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Artem Rozantsev, Mathieu Salzmann, Pascal Fua.
    Residual Parameter Transfer for Deep Domain Adaptation.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua.
    Learning to Find Good Correspondences.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua.
    Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation.
    IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017 2017 (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.
    IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017 2017 (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.
    IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017 2017 (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
    Show item 1 to 25 of 130  

    Your query returned 130 matches in the database.