George Papandreou
15 papers · 2010–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (14) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (4) π Cross-Pollinator (15)
π
Cross-Pollinator
(15)
πΊοΈ
Taxonomy Completionist
(30)
π
Keyword Champion
π§¬
Topic Evolution
ποΈ
Keyword Collector
(67)
π
Conference Pioneer
π₯
Unstoppable
(8)
π
Century Club
(15)
π
Trend Setter
Conferences
CVPR (7)
ECCV (3)
ICCV (3)
NIPS (2)
Top co-authors
Keywords
convolutional neural network
(5)
semantic segmentation
(4)
object detection
(2)
image classification
(2)
conditional random field
(2)
unsupervised learning
(2)
variational inference
(1)
multi-label classification
(1)
semi-supervised learning
(1)
gibbs sampling
(1)
weakly supervised learning
(1)
expectation maximization
(1)
depth estimation
(1)
scene parsing
(1)
markov chain monte carlo
(1)
statistical image modeling
(1)
instance segmentation
(1)
multiple instance learning
(1)
neural architecture search
(1)
bayesian inference
(1)
Papers
MeshPose: Unifying DensePose and 3D Body Mesh Reconstruction
CVPR 2024
BLSM: A Bone-Level Skinned Model of the Human Mesh
ECCV 2020
Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning
CVPR 2019
MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features
CVPR 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
ECCV 2018
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
ECCV 2018
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
NIPS 2018
Towards Accurate Multi-Person Pose Estimation in the Wild
CVPR 2017
Semantic Image Segmentation With Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
CVPR 2016
Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation
ICCV 2015
Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection
CVPR 2015
Im2Calories: Towards an Automated Mobile Vision Food Diary
ICCV 2015
Modeling Image Patches with a Generic Dictionary of Mini-Epitomes
CVPR 2014
Learning a Dictionary of Shape Epitomes with Applications to Image Labeling
ICCV 2013
Gaussian sampling by local perturbations
NIPS 2010