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Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning

May 29, 2019
Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Fanello


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DeeperLab: Single-Shot Image Parser

Mar 12, 2019
Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen

* 20 pages. The code of the proposed Parsing Covering metric is available at http://deeperlab.mit.edu 

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Searching for Efficient Multi-Scale Architectures for Dense Image Prediction

Sep 11, 2018
Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens

* Accepted by NIPS 2018 

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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Aug 22, 2018
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam

* ECCV 2018 camera ready 

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PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model

Mar 22, 2018
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy

* Person detection and pose estimation, segmentation and grouping 

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MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features

Dec 13, 2017
Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam

* 10 pages including reference 

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Rethinking Atrous Convolution for Semantic Image Segmentation

Dec 05, 2017
Liang-Chieh Chen, George Papandreou, Florian Schroff, Hartwig Adam

* Add more experimental results 

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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

May 12, 2017
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille

* Accepted by TPAMI 

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Towards Accurate Multi-person Pose Estimation in the Wild

Apr 14, 2017
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy

* Paper describing an improved version of the G-RMI entry to the 2016 COCO keypoints challenge (http://image-net.org/challenges/ilsvrc+coco2016). Camera ready version to appear in the Proceedings of CVPR 2017 

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Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Jun 07, 2016
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille

* 14 pages. Updated related work 

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Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform

Jun 02, 2016
Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille

* 14 pages. Accepted to appear at CVPR 2016 

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Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation

Oct 05, 2015
George Papandreou, Liang-Chieh Chen, Kevin Murphy, Alan L. Yuille

* Accepted to ICCV 2015 

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Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection

Nov 30, 2014
George Papandreou, Iasonas Kokkinos, Pierre-André Savalle

* 13 pages, 7 figures, 5 tables. arXiv admin note: substantial text overlap with arXiv:1406.2732 

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Deep Epitomic Convolutional Neural Networks

Jun 10, 2014
George Papandreou

* 9 pages 

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Efficient variational inference in large-scale Bayesian compressed sensing

Sep 05, 2011
George Papandreou, Alan Yuille

* Proc. IEEE Workshop on Information Theory in Computer Vision and Pattern Recognition (in conjunction with ICCV-11), pp. 1332-1339, Barcelona, Spain, Nov. 2011 
* 8 pages, 3 figures, appears in Proc. IEEE Workshop on Information Theory in Computer Vision and Pattern Recognition (in conjunction with ICCV-11), Barcelona, Spain, Nov. 2011 

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