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Multimodal Contrastive Training for Visual Representation Learning


Apr 26, 2021
Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta


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Information-Theoretic Segmentation by Inpainting Error Maximization


Dec 14, 2020
Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester


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Self-Supervised Visual Representation Learning from Hierarchical Grouping


Dec 05, 2020
Xiao Zhang, Michael Maire

* Accepted by NeurIPS 2020 

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Boosting Contrastive Self-Supervised Learning with False Negative Cancellation


Nov 23, 2020
Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi


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Orthogonalized SGD and Nested Architectures for Anytime Neural Networks


Aug 15, 2020
Chengcheng Wan, Henry Hoffmann, Shan Lu, Michael Maire

* ICML 2020 

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Growing Efficient Deep Networks by Structured Continuous Sparsification


Jul 30, 2020
Xin Yuan, Pedro Savarese, Michael Maire


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Pixel Consensus Voting for Panoptic Segmentation


Apr 04, 2020
Haochen Wang, Ruotian Luo, Michael Maire, Greg Shakhnarovich

* CVPR 2020 

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Domain-independent Dominance of Adaptive Methods


Dec 10, 2019
Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire


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Winning the Lottery with Continuous Sparsification


Dec 10, 2019
Pedro Savarese, Hugo Silva, Michael Maire


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ALERT: Accurate Anytime Learning for Energy and Timeliness


Oct 31, 2019
Chengcheng Wan, Muhammad Santriaji, Eri Rogers, Henry Hoffmann, Michael Maire, Shan Lu


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Multigrid Neural Memory


Jun 13, 2019
Tri Huynh, Michael Maire, Matthew R. Walter

* Project Website: http://people.cs.uchicago.edu/~trihuynh/multigrid_mem 

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Learning Implicitly Recurrent CNNs Through Parameter Sharing


Mar 13, 2019
Pedro Savarese, Michael Maire

* Published as a conference paper at ICLR 2019 

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Sparsely Aggregated Convolutional Networks


Apr 16, 2018
Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan


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Regularizing Deep Networks by Modeling and Predicting Label Structure


Apr 05, 2018
Mohammadreza Mostajabi, Michael Maire, Gregory Shakhnarovich

* to appear at CVPR 2018 

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Self-Supervised Relative Depth Learning for Urban Scene Understanding


Apr 02, 2018
Huaizu Jiang, Erik Learned-Miller, Gustav Larsson, Michael Maire, Greg Shakhnarovich


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Learning Representations for Automatic Colorization


Aug 13, 2017
Gustav Larsson, Michael Maire, Gregory Shakhnarovich

* ECCV 2016 (Project page: http://people.cs.uchicago.edu/~larsson/colorization/

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Colorization as a Proxy Task for Visual Understanding


Aug 13, 2017
Gustav Larsson, Michael Maire, Gregory Shakhnarovich

* CVPR 2017 (Project page: http://people.cs.uchicago.edu/~larsson/color-proxy/

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FractalNet: Ultra-Deep Neural Networks without Residuals


May 26, 2017
Gustav Larsson, Michael Maire, Gregory Shakhnarovich

* updated with ImageNet results; published as a conference paper at ICLR 2017; project page at http://people.cs.uchicago.edu/~larsson/fractalnet/ 

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Multigrid Neural Architectures


May 11, 2017
Tsung-Wei Ke, Michael Maire, Stella X. Yu

* updated with ImageNet results; to appear at CVPR 2017 

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Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding


Apr 11, 2016
Michael Maire, Takuya Narihira, Stella X. Yu

* minor updates; extended version of CVPR 2016 conference paper 

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Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression


Dec 08, 2015
Takuya Narihira, Michael Maire, Stella X. Yu

* International Conference on Computer Vision (ICCV), 2015 

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Microsoft COCO: Common Objects in Context


Feb 21, 2015
Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollár

* 1) updated annotation pipeline description and figures; 2) added new section describing datasets splits; 3) updated author list 

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Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling


Oct 16, 2014
Michael Maire, Stella X. Yu, Pietro Perona

* to appear in Asian Conference on Computer Vision (ACCV), 2014 

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