Michael Maire

According to our database1, Michael Maire authored at least 43 papers between 2004 and 2021.

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Bibliography

2021
Multimodal Contrastive Training for Visual Representation Learning.
CoRR, 2021

A Replication of Are Machine Learning Cloud APIs Used Correctly.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

Are Machine Learning Cloud APIs Used Correctly?
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Growing Efficient Deep Networks by Structured Continuous Sparsification.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Information-Theoretic Segmentation by Inpainting Error Maximization.
CoRR, 2020

Boosting Contrastive Self-Supervised Learning with False Negative Cancellation.
CoRR, 2020

ALERT: Accurate Learning for Energy and Timeliness.
Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Self-Supervised Visual Representation Learning from Hierarchical Grouping.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Winning the Lottery with Continuous Sparsification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Orthogonalized SGD and Nested Architectures for Anytime Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Multigrid Neural Memory.
Proceedings of the 37th International Conference on Machine Learning, 2020

Pixel Consensus Voting for Panoptic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Domain-independent Dominance of Adaptive Methods.
CoRR, 2019

ALERT: Accurate Anytime Learning for Energy and Timeliness.
CoRR, 2019

Learning Implicitly Recurrent CNNs Through Parameter Sharing.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Sparsely Aggregated Convolutional Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Self-Supervised Relative Depth Learning for Urban Scene Understanding.
Proceedings of the Computer Vision - ECCV 2018, 2018

Regularizing Deep Networks by Modeling and Predicting Label Structure.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Self-Supervised Depth Learning for Urban Scene Understanding.
CoRR, 2017

FractalNet: Ultra-Deep Neural Networks without Residuals.
Proceedings of the 5th International Conference on Learning Representations, 2017

Colorization as a Proxy Task for Visual Understanding.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multigrid Neural Architectures.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Neural Multigrid.
CoRR, 2016

Learning Representations for Automatic Colorization.
Proceedings of the Computer Vision - ECCV 2016, 2016

Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning lightness from human judgement on relative reflectance.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Corner Detection.
Computer Vision, A Reference Guide, 2014

Microsoft COCO: Common Objects in Context.
CoRR, 2014

Microsoft COCO: Common Objects in Context.
Proceedings of the Computer Vision - ECCV 2014, 2014

Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Hierarchical Scene Annotation.
Proceedings of the British Machine Vision Conference, 2013

2011
Contour Detection and Hierarchical Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Object detection and segmentation from joint embedding of parts and pixels.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Occlusion boundary detection and figure/ground assignment from optical flow.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Simultaneous Segmentation and Figure/Ground Organization Using Angular Embedding.
Proceedings of the Computer Vision, 2010

2009
From contours to regions: An empirical evaluation.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Using contours to detect and localize junctions in natural images.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2006
SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2004
Making Latin Manuscripts Searchable using gHMMs.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Recognition by Probabilistic Hypothesis Construction.
Proceedings of the Computer Vision, 2004

Names and Faces in the News.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004


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