Papandreou, George

20 publications

CVPR 2024 MeshPose: Unifying DensePose and 3D Body Mesh Reconstruction Eric-Tuan Le, Antonis Kakolyris, Petros Koutras, Himmy Tam, Efstratios Skordos, George Papandreou, Riza Alp Güler, Iasonas Kokkinos

ECCV 2020 BLSM: A Bone-Level Skinned Model of the Human Mesh Haoyang Wang, Riza Alp Güler, Iasonas Kokkinos, George Papandreou, Stefanos Zafeiriou

CVPR 2019 Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning 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

ECCV 2018 Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam

CVPR 2018 MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam

ECCV 2018 PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-up, Part-Based, Geometric Embedding Model George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy

NeurIPS 2018 Searching for Efficient Multi-Scale Architectures for Dense Image Prediction Liang-Chieh Chen, Maxwell Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jon Shlens

CVPR 2017 Towards Accurate Multi-Person Pose Estimation in the Wild George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy

CVPR 2016 Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille

ICCV 2015 Im2Calories: Towards an Automated Mobile Vision Food Diary Austin Meyers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alex Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin P. Murphy

CVPR 2015 Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection George Papandreou, Iasonas Kokkinos, Pierre-Andre Savalle

ICLR 2015 Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille

ICCV 2015 Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation George Papandreou, Liang-Chieh Chen, Kevin P. Murphy, Alan L. Yuille

CVPR 2014 Modeling Image Patches with a Generic Dictionary of Mini-Epitomes George Papandreou, Liang-Chieh Chen, Alan L. Yuille

ICCV 2013 Learning a Dictionary of Shape Epitomes with Applications to Image Labeling Liang-Chieh Chen, George Papandreou, Alan L. Yuille

ICCV 2011 Perturb-and-MAP Random Fields: Using Discrete Optimization to Learn and Sample from Energy Models George Papandreou, Alan L. Yuille

NeurIPS 2010 Gaussian Sampling by Local Perturbations George Papandreou, Alan L. Yuille

CVPR 2008 Adaptive and Constrained Algorithms for Inverse Compositional Active Appearance Model Fitting George Papandreou, Petros Maragos

CVPR 2005 A Cross-Validatory Statistical Approach to Scale Selection for Image Denoising by Nonlinear Diffusion George Papandreou, Petros Maragos

CVPR 2004 A Fast Multigrid Implicit Algorithm for the Evolution of Geodesic Active Contours George Papandreou, Petros Maragos