George Papandreou

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 20

Top Topics

Pose Estimation

Discriminatively Trained

Convolutional Network

Top Venues

Publications

Eric-Tuan Lê, Antonis Kakolyris, Petros Koutras, Himmy Tam, Efstratios Skordos, George Papandreou, Riza Alp Güler, Iasonas Kokkinos
MeshPose: Unifying DensePose and 3D Body Mesh reconstruction. CoRR (2024)
Haoyang Wang, Riza Alp Güler, Iasonas Kokkinos, George Papandreou, Stefanos Zafeiriou
BLSM: A Bone-Level Skinned Model of the Human Mesh. ECCV (5) (2020)
Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip L. Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello
Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning. CVPR (2019)
Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen
DeeperLab: Single-Shot Image Parser. CoRR (2019)
Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip L. Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello
Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning. CoRR (2019)
Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. NeurIPS (2018)
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. IEEE Trans. Pattern Anal. Mach. Intell. 40 (4) (2018)
Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. CoRR (2018)
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. ECCV (7) (2018)
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. CoRR (2018)
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. ECCV (14) (2018)
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. CoRR (2018)
Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam
MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features. CVPR (2018)
Ross B. Girshick, Iasonas Kokkinos, Ivan Laptev, Jitendra Malik, George Papandreou, Andrea Vedaldi, Xiaogang Wang, Shuicheng Yan, Alan L. Yuille
Editorial- Deep Learning for Computer Vision. Comput. Vis. Image Underst. 164 (2017)
Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features. CoRR (2017)
Liang-Chieh Chen, George Papandreou, Florian Schroff, Hartwig Adam
Rethinking Atrous Convolution for Semantic Image Segmentation. CoRR (2017)
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy
Towards Accurate Multi-person Pose Estimation in the Wild. CVPR (2017)
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin P. Murphy
Towards Accurate Multi-person Pose Estimation in the Wild. CoRR (2017)
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. CoRR (2016)
Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform. CVPR (2016)
Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform. CoRR (2015)
Stavros Tsogkas, Iasonas Kokkinos, George Papandreou, Andrea Vedaldi
Semantic Part Segmentation with Deep Learning. CoRR (2015)
George Papandreou, Liang-Chieh Chen, Kevin Murphy, Alan L. Yuille
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation. CoRR (2015)
George Papandreou, Liang-Chieh Chen, Kevin P. Murphy, Alan L. Yuille
Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation. ICCV (2015)
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. ICLR (Poster) (2015)
Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy
Im2Calories: Towards an Automated Mobile Vision Food Diary. ICCV (2015)
George Papandreou, Iasonas Kokkinos, Pierre-André Savalle
Modeling local and global deformations in Deep Learning: Epitomic convolution, Multiple Instance Learning, and sliding window detection. CVPR (2015)
George Papandreou, Iasonas Kokkinos, Pierre-André Savalle
Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection. CoRR (2014)
George Papandreou
Deep Epitomic Convolutional Neural Networks. CoRR (2014)
George Papandreou, Liang-Chieh Chen, Alan L. Yuille
Modeling Image Patches with a Generic Dictionary of Mini-epitomes. CVPR (2014)
Liang-Chieh Chen, George Papandreou, Alan L. Yuille
Learning a Dictionary of Shape Epitomes with Applications to Image Labeling. ICCV (2013)
George Papandreou, Alan L. Yuille
Efficient variational inference in large-scale Bayesian compressed sensing CoRR (2011)
George Papandreou, Alan L. Yuille
Perturb-and-MAP random fields: Using discrete optimization to learn and sample from energy models. ICCV (2011)
George Papandreou, Alan L. Yuille
Efficient variational inference in large-scale Bayesian compressed sensing. ICCV Workshops (2011)
George Papandreou, Alan L. Yuille
Gaussian sampling by local perturbations. NIPS (2010)
Athanassios Katsamanis, George Papandreou, Petros Maragos
Face Active Appearance Modeling and Speech Acoustic Information to Recover Articulation. IEEE Trans. Speech Audio Process. 17 (3) (2009)
Stamatios Lefkimmiatis, Petros Maragos, George Papandreou
Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising. IEEE Trans. Image Process. 18 (8) (2009)
Stamatios Lefkimmiatis, George Papandreou, Petros Maragos
Poisson-Haar Transform: A nonlinear multiscale representation for photon-limited image denoising. ICIP (2009)
George Papandreou, Athanassios Katsamanis, Vassilis Pitsikalis, Petros Maragos
Adaptive Multimodal Fusion by Uncertainty Compensation With Application to Audiovisual Speech Recognition. IEEE Trans. Speech Audio Process. 17 (3) (2009)
Athanasios Katsamanis, Gopal Ananthakrishnan, George Papandreou, Petros Maragos, Olov Engwall
Audiovisual speech inversion by switching dynamical modeling governed by a Hidden Markov process. EUSIPCO (2008)
Athanassios Katsamanis, George Papandreou, Petros Maragos
Audiovisual-to-articulatory speech inversion using Active Appearance Models for the face and Hidden Markov Models for the dynamics. ICASSP (2008)
Stamatios Lefkimmiatis, George Papandreou, Petros Maragos
Photon-limited image denoising by inference on multiscale models. ICIP (2008)
George Papandreou, Petros Maragos, Anil C. Kokaram
Image inpainting with a wavelet domain Hidden Markov tree model. ICASSP (2008)
George Papandreou, Petros Maragos
Adaptive and constrained algorithms for inverse compositional Active Appearance Model fitting. CVPR (2008)
Athanassios Katsamanis, George Papandreou, Petros Maragos
Audiovisual-to-Articulatory Speech Inversion Using HMMs. MMSP (2007)
George Papandreou, Athanassios Katsamanis, Vassilis Pitsikalis, Petros Maragos
Multimodal Fusion and Learning with Uncertain Features Applied to Audiovisual Speech Recognition. MMSP (2007)
George Papandreou, Petros Maragos
Multigrid Geometric Active Contour Models. IEEE Trans. Image Process. 16 (1) (2007)
Athanassios Katsamanis, George Papandreou, Vassilis Pitsikalis, Petros Maragos
Multimodal fusion by adaptive compensation for feature uncertainty with application to audiovisual speech recognition. EUSIPCO (2006)
Vassilis Pitsikalis, Athanassios Katsamanis, George Papandreou, Petros Maragos
Adaptive multimodal fusion by uncertainty compensation. INTERSPEECH (2006)
George Papandreou, Petros Maragos
Image denoising in nonlinear scale-spaces: automatic scale selection via cross-validation. ICIP (1) (2005)
George Papandreou, Petros Maragos
A Cross-Validatory Statistical Approach to Scale Selection for Image Denoising by Nonlinear Diffusion. CVPR (1) (2005)
George Papandreou, Petros Maragos
A Fast Multigrid Implicit Algorithm for the Evolution of Geodesic Active Contours. CVPR (2) (2004)