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If I have ever made any valuable discoveries,
it has been owing more to patient attention,
than to any other talent. |
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| (Isaac Newton) |
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Publications
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- Y. Song, A.G. Schwing, R. Zemel and R. Urtasun; Training Deep Neural Networks via Direct Loss Minimization; Int.'l Conf. on Machine Learning (ICML); 2016
 
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@inproceedings{SongICML2016,
author = {Y. Song and A.~G. Schwing and R. Zemel and R. Urtasun},
title = {{Training Deep Neural Networks via Direct Loss Minimization}},
booktitle = {Proc. ICML},
year = {2016},
}
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- W. Luo, A.G. Schwing and R. Urtasun; Efficient Deep Learning for Stereo Matching; IEEE Conf. on Computer Vision and Pattern Recognition (CVPR); 2016
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@inproceedings{LuoCVPR2016,
author = {W. Luo and A.~G. Schwing and R. Urtasun},
title = {{Efficient Deep Learning for Stereo Matching}},
booktitle = {Proc. CVPR},
year = {2016},
}
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- A.G. Schwing, T. Hazan, M. Pollefeys and R. Urtasun; Distributed Algorithms for Large Scale Learning and Inference in Graphical Models; Trans. on Pattern Analysis and Machine Intelligence (PAMI); accepted for publication
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@article{SchwingPAMI,
author = {A.~G. Schwing and T. Hazan and M. Pollefeys and R. Urtasun},
title = {{Distributed Algorithms for Large Scale Learning and Inference in Graphical Models}},
journal = {PAMI},
}
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- O. Meshi, M. Mahdavi and A.G. Schwing; Smooth and Strong: MAP Inference with Linear Convergence; Neural Information Processing Systems (NIPS); 2015
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@inproceedings{MeshiNIPS2015,
author = {O. Meshi and M. Mahdavi and A.~G. Schwing},
title = {{Smooth and Strong: MAP Inference with Linear Convergence}},
booktitle = {Proc. NIPS},
year = {2015},
}
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- Z. Zhang*, A.G. Schwing*, S. Fidler and R. Urtasun; Monocular Object Instance Segmentation and Depth Ordering with CNNs; Int.'l Conf. on Computer Vision (ICCV); 2015
(*equal contribution)
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@inproceedings{ZhangSchwingICCV2015,
author = {Z. Zhang$^\ast$ and A.~G. Schwing$^\ast$ and S. Fidler and R. Urtasun},
title = {{Monocular Object Instance Segmentation and Depth Ordering with CNNs}},
booktitle = {Proc. ICCV},
year = {2015},
note = {$^\ast$ equal contribution},
}
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- L.-C. Chen*, A.G. Schwing*, A.L. Yuille and R. Urtasun; Learning Deep Structured Models; Int.'l Conf. on Machine Learning (ICML); 2015
 (*equal contribution)
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@inproceedings{ChenSchwingICML2015,
author = {L.-C. Chen$^\ast$ and A.~G. Schwing$^\ast$ and A.~L. Yuille and R. Urtasun},
title = {{Learning Deep Structured Models}},
booktitle = {Proc. ICML},
year = {2015},
note = {$^\ast$ equal contribution},
}
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- C. Liu*, A.G. Schwing*, K. Kundu, R. Urtasun and S. Fidler; Rent3D: Floor-Plan Priors for Monocular Layout Estimation; IEEE Conf. on Computer Vision and Pattern Recognition (CVPR); 2015
(*equal contribution)
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@inproceedings{LiuSchwingCVPR2015,
author = {C. Liu$^\ast$ and A.~G. Schwing$^\ast$ and K. Kundu and R. Urtasun and S. Fidler},
title = {{Rent3D: Floor-Plan Priors for Monocular Layout Estimation}},
booktitle = {Proc. CVPR},
year = {2015},
note = {$^\ast$ equal contribution},
}
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- J. Xu, A.G. Schwing and R. Urtasun; Learning to Segment under Various Forms of Weak Supervision; IEEE Conf. on Computer Vision and Pattern Recognition (CVPR); 2015
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@inproceedings{XuCVPR2015,
author = {J. Xu and A.~G. Schwing and R. Urtasun},
title = {{Learning To Segment under Various Forms of Weak Supervision}},
booktitle = {Proc. CVPR},
year = {2015},
}
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- S. Wang, A.G. Schwing and R. Urtasun; Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials; Neural Information Processing Systems (NIPS); 2014
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@inproceedings{WangNIPS2014,
author = {S. Wang and A.~G. Schwing and R. Urtasun},
title = {{Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials}},
booktitle = {Proc. NIPS},
year = {2014},
}
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- J. Zhang, A.G. Schwing and R. Urtasun; Message Passing Inference for Large Scale Graphical Models with High Order Potentials; Neural Information Processing Systems (NIPS); 2014
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@inproceedings{ZhangNIPS2014,
author = {J. Zhang and A.~G. Schwing and R. Urtasun},
title = {{Message Passing Inference for Large Scale Graphical Models with High Order Potentials}},
booktitle = {Proc. NIPS},
year = {2014},
}
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- F. Srajer, A.G. Schwing, M. Pollefeys and T. Pajdla; MatchBox: Indoor Image Matching via Box-like Scene Estimation; Int.'l Conf. on 3D Vision (3DV); 2014
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@inproceedings{Srajer3DV2014,
author = {F. Srajer and A.~G. Schwing and M. Pollefeys and T. Pajdla},
title = {{MatchBox: Indoor Image Matching via Box-like Scene Estimation}},
booktitle = {Proc. 3DV},
year = {2014},
}
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- A.G. Schwing, T. Hazan, M. Pollefeys and R. Urtasun; Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm; Int.'l Conf. on Machine Learning (ICML); 2014
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@inproceedings{SchwingICML2014,
author = {A.~G. Schwing and T. Hazan and M. Pollefeys and R. Urtasun},
title = {{Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm}},
booktitle = {Proc. ICML},
year = {2014},
}
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- A. Cohen, A.G. Schwing and M. Pollefeys; Efficient Structured Parsing of Facades Using Dynamic Programming; IEEE Conf. on Computer Vision and Pattern Recognition (CVPR); 2014
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@inproceedings{CohenCVPR2014,
author = {A. Cohen and A.~G. Schwing and M. Pollefeys},
title = {{Efficient Structured Parsing of Facades Using Dynamic Programming}},
booktitle = {Proc. CVPR},
year = {2014},
}
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- J. Xu, A.G. Schwing and R. Urtasun; Tell Me What You See and I will Show You Where It Is; IEEE Conf. on Computer Vision and Pattern Recognition (CVPR); 2014
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@inproceedings{XuCVPR2014,
author = {J. Xu and A.~G. Schwing and R. Urtasun},
title = {{Tell Me What You See and I will Show You Where It Is}},
booktitle = {Proc. CVPR},
year = {2014},
}
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- T. Käser, S. Klingler, A.G. Schwing and M. Gross; Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks; Int.'l Conf. on Intelligent Tutoring Systems (ITS); 2014
(Best paper award)
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@inproceedings{KaeserITS2014,
author = {T. K\"{a}ser and S. Klingler and A.~G. Schwing and M. Gross},
title = {{Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks}},
booktitle = {Proc. ITS},
year = {2014},
}
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- T. Käser, A.G. Schwing, T. Hazan and M. Gross; Computational Education using Latent Structured Prediction; Int.'l Conf. on Artificial Intelligence and Statistics (AISTATS); 2014
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@inproceedings{KaeserAISTATS2014,
author = {T. K\"{a}ser and A.~G. Schwing and T. Hazan and M. Gross},
title = {{Computational Education using Latent Structured Prediction}},
booktitle = {Proc. AISTATS},
year = {2014},
}
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- A.G. Schwing and Y. Zheng; Reliable Extraction of the Mid-Sagittal Plane in 3D Brain MRI via Hierarchical Landmark Detection; IEEE Int.'l Symposium on Biomedical Imaging (ISBI); 2014
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@inproceedings{SchwingZhengISBI2014,
author = {A.~G. Schwing and Y. Zheng},
title = {{Reliable Extraction of the Mid-Sagittal Plane in 3D Brain MRI via Hierarchical Landmark Detection}},
booktitle = {Proc. ISBI},
year = {2014},
}
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- W. Luo, A.G. Schwing and R. Urtasun; Latent Structured Active Learning; Neural Information Processing Systems (NIPS); 2013
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@inproceedings{LuoNIPS2013,
author = {W. Luo and A.~G. Schwing and R. Urtasun},
title = {{Latent Structured Active Learning}},
booktitle = {Proc. NIPS},
year = {2013},
}
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- J. Zhang, C. Kan, A.G. Schwing and R. Urtasun; Estimating the 3D Layout of Indoor Scenes and its Clutter from Depth Sensors; Int.'l Conf. on Computer Vision (ICCV); 2013
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@inproceedings{ZhangICCV2013,
author = {J. Zhang and K. Chen and A.~G. Schwing and R. Urtasun},
title = {{Estimating the 3D Layout of Indoor Scenes and its Clutter from Depth Sensors}},
booktitle = {Proc. ICCV},
year = {2013},
}
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- A.G. Schwing, S. Fidler, M. Pollefeys and R. Urtasun; Box In the Box: Joint 3D Layout and Object Reasoning from Single Images; Int.'l Conf. on Computer Vision (ICCV); 2013
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@inproceedings{SchwingICCV2013,
author = {A.~G. Schwing and S. Fidler and M. Pollefeys and R. Urtasun},
title = {{Box In the Box: Joint 3D Layout and Object Reasoning from Single Images}},
booktitle = {Proc. ICCV},
year = {2013},
}
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- A.G. Schwing, T. Hazan, M. Pollefeys and R. Urtasun; Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins; Neural Information Processing Systems (NIPS); 2012
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@inproceedings{SchwingNIPS2012,
author = {A.~G. Schwing and T. Hazan and M. Pollefeys and R. Urtasun},
title = {{Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins}},
booktitle = {Proc. NIPS},
year = {2012},
}
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- A.G. Schwing and R. Urtasun; Efficient Exact Inference for 3D Indoor Scene Understanding; European Conference on Computer Vision (ECCV); 2012
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@inproceedings{SchwingECCV2012,
author = {A.~G. Schwing and R. Urtasun},
title = {{Efficient Exact Inference for 3D Indoor Scene Understanding}},
booktitle = {Proc. ECCV},
year = {2012},
}
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- A.G. Schwing, T. Hazan, M. Pollefeys and R. Urtasun; Efficient Structured Prediction with Latent Variables for General Graphical Models; Int.'l Conf. on Machine Learning (ICML); 2012
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@inproceedings{SchwingICML2012,
author = {A.~G. Schwing and T. Hazan and M. Pollefeys and R. Urtasun},
title = {{Efficient Structured Prediction with Latent Variables for General Graphical Models}},
booktitle = {Proc. ICML},
year = {2012},
}
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- A.G. Schwing, T. Hazan, M. Pollefeys and R. Urtasun; Efficient Structured Prediction for 3D Indoor Scene Understanding; IEEE Conf. on Computer Vision and Pattern Recognition (CVPR); 2012
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@inproceedings{SchwingCVPR2012,
author = {A.~G. Schwing and T. Hazan and M. Pollefeys and R. Urtasun},
title = {{Efficient Structured Prediction for 3D Indoor Scene Understanding}},
booktitle = {Proc. CVPR},
year = {2012},
}
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- A.G. Schwing, T. Hazan, M. Pollefeys and R. Urtasun; Distributed Message Passing for Large Scale Graphical Models; IEEE Conf. on Computer Vision and Pattern Recognition (CVPR); 2011
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@inproceedings{SchwingCVPR2011a,
author = {A.~G. Schwing and T. Hazan and M. Pollefeys and R. Urtasun},
title = {{Distributed Message Passing for Large Scale Graphical Models}},
booktitle = {Proc. CVPR},
year = {2011},
}
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- A.G. Schwing, C. Zach, Y. Zheng and M. Pollefeys; Adaptive Random Forest - How many ``experts'' to ask before making a decision?; IEEE Conf. on Computer Vision and Pattern Recognition (CVPR); 2011
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@inproceedings{SchwingCVPR2011b,
author = {A.~G. Schwing and C. Zach and Y. Zheng and M. Pollefeys},
title = {{Adaptive Random Forest -- How many ``experts'' to ask before making a decision?}},
booktitle = {Proc. CVPR},
year = {2011},
}
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- M. Koch, A.G. Schwing, D. Comaniciu and M. Pollefeys; Fully Automatic Segmentation of Wrist Bones for Arthritis Patients; IEEE Int.'l Symposium on Biomedical Imaging (ISBI); 2011
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@inproceedings{SchwingISBI2011,
author = {M. Koch and A.~G. Schwing and D. Comaniciu and M. Pollefeys},
title = {{Fully Automatic Segmentation of Wrist Bones for Arthritis Patients}},
booktitle = {Proc. ISBI},
year = {2011},
}
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- M. Sarkis, K. Diepold and A.G. Schwing; Enhancing the Motion Estimate in Bundle Adjustment Using Projective Newton-type Optimization on the Manifold; IS&T/SPIE Electronic Imaging - Image Processing: Machine Vision Applications II; 1/2009
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@inproceedings{SarkisSPIE2009,
author = {M. Sarkis and K. Diepold and A.~G. Schwing},
title = {{Enhancing the Motion Estimate in Bundle Adjustment Using Projective Newton-type Optimization on the Manifold}},
booktitle = {Proc. SPIE},
year = {2009},
}
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- R. Hunger, D. Schmidt, M. Joham, A.G. Schwing, and W. Utschick; Design of Single-Group Multicasting-Beamformers; IEEE Int.'l Conf. on Communications (ICC); 2007
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@inproceedings{HungerICC2007,
author = {R. Hunger and D. Schmidt and M. Joham and A.~G. Schwing and W. Utschick},
title = {{Design of Single-Group Multicasting-Beamformers}},
booktitle = {Proc. ICC},
year = {2007},
}
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Workshops
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- A.G. Schwing, T. Hazan, M. Pollefeys and R. Urtasun; Distributed Structured Prediction for Big Data; NIPS Workshop on Big Learning; 2012
- A.G. Schwing, T. Hazan, M. Pollefeys and R. Urtasun; Large Scale Structured Prediction with Hidden Variables; Snowbird Workshop; 2011
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Patents
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- A. Tsymbal, M. Kelm, M.J. Costa, S.K. Zhou, D. Comaniciu, Y. Zheng and A.G. Schwing; Image Processing Using Random Forest Classifiers; USPA 20120321174; Assignee: Siemens Corp.
- A.G. Schwing, Y. Zheng, M. Harder, and D. Comaniciu; Method and System for Anatomic Landmark Detection Using Constrained Marginal Space Learning and Geometric Inference; USPA 20100119137; Assignee: Siemens Corp.
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