Iasonas Kokkinos

Orcid: 0000-0002-2606-6476

According to our database1, Iasonas Kokkinos authored at least 105 papers between 2002 and 2024.

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Bibliography

2024
MeshPose: Unifying DensePose and 3D Body Mesh reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Deformably-Scaled Transposed Convolution.
CoRR, 2022

Correlation Based Semantic Transfer with Application to Domain Adaptation.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Beyond Deterministic Translation for Unsupervised Domain Adaptation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
To The Point: Correspondence-driven monocular 3D category reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Synthesizing VERDICT Maps from Standard DWI Data Using GANs.
Proceedings of the Computational Diffusion MRI - 12th International Workshop, 2021

Unsupervised Domain Adaptation with Semantic Consistency Across Heterogeneous Modalities for MRI Prostate Lesion Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Learning Monocular 3D Reconstruction of Articulated Categories From Motion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Holistic Multi-View Building Analysis in the Wild with Projection Pooling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Softmesh: Learning Probabilistic Mesh Connectivity via Image Supervision.
Proceedings of the International Conference on 3D Vision, 2021

2020
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results.
NeuroImage, 2020

Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

BLSM: A Bone-Level Skinned Model of the Human Mesh.
Proceedings of the Computer Vision - ECCV 2020, 2020

Going Deeper With Lean Point Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Robot-Robot Gesturing for Anchoring Representations.
IEEE Trans. Robotics, 2019

Going Deeper with Point Networks.
CoRR, 2019

Deep Learning Enhanced Extended Depth-of-Field for Thick Blood-Film Malaria High-Throughput Microscopy.
CoRR, 2019

MultiGrain: a unified image embedding for classes and instances.
CoRR, 2019

CreativeAI: deep learning for graphics.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2019

Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Deep Learning for Computer Graphics and Geometry Processing.
Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Attentive Single-Tasking of Multiple Tasks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

HoloPose: Holistic 3D Human Reconstruction In-The-Wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild.
CoRR, 2018

Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Learning Filterbanks from Raw Speech for Phone Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Deep Learning for Graphics.
Proceedings of the 39th Annual Conference of the European Association for Computer Graphics, 2018

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance.
Proceedings of the Computer Vision - ECCV 2018, 2018

Dense Pose Transfer.
Proceedings of the Computer Vision - ECCV 2018, 2018

Identification of C. elegans Strains Using a Fully Convolutional Neural Network on Behavioural Dynamics.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

DensePose: Dense Human Pose Estimation in the Wild.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Spatio-Temporal Random Fields for Efficient Video Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Mass Displacement Networks.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Editorial- Deep Learning for Computer Vision.
Comput. Vis. Image Underst., 2017

Segmentation-Aware Convolutional Networks Using Local Attention Masks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Dense and Low-Rank Gaussian CRFs Using Deep Embeddings.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Face Normals "In-the-Wild" Using Fully Convolutional Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Deep Filter Banks for Texture Recognition, Description, and Segmentation.
Int. J. Comput. Vis., 2016

Surpassing Humans in Boundary Detection using Deep Learning.
Proceedings of the 4th International Conference on Learning Representations, 2016

Deep, Dense, and Low-Rank Gaussian Conditional Random Fields.
CoRR, 2016

Prior-Based Coregistration and Cosegmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Sub-cortical brain structure segmentation using F-CNN'S.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Monocular Surface Reconstruction Using 3D Deformable Part Models.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs.
Proceedings of the Computer Vision - ECCV 2016, 2016

Accelerating Deformable Part Models with Branch-and-Bound.
Proceedings of the Perspectives in Shape Analysis, 2016

2015
Editorial introduction to the CVIU special issue on "Generative models in computer vision and medical imaging".
Comput. Vis. Image Underst., 2015

Semantic Part Segmentation with Deep Learning.
CoRR, 2015

Learning Dense Convolutional Embeddings for Semantic Segmentation.
CoRR, 2015

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Accurate Human-Limb Segmentation in RGB-D Images for Intelligent Mobility Assistance Robots.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Discriminative Learning of Deep Convolutional Feature Point Descriptors.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Modeling local and global deformations in Deep Learning: Epitomic convolution, Multiple Instance Learning, and sliding window detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Surface Based Object Detection in RGBD Images.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Fracking Deep Convolutional Image Descriptors.
CoRR, 2014

Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection.
CoRR, 2014

Discriminative learning of deformable contour models.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Advances in Intelligent Mobility Assistance Robot Integrating Multimodal Sensory Processing.
Proceedings of the Universal Access in Human-Computer Interaction. Aging and Assistive Environments, 2014

Data Acquisition towards Defining a Multimodal Interaction Model for Human - Assistive Robot Communication.
Proceedings of the Universal Access in Human-Computer Interaction. Aging and Assistive Environments, 2014

Understanding Objects in Detail with Fine-Grained Attributes.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Segmentation-Aware Deformable Part Models.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Describing Textures in the Wild.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Parsing Facades with Shape Grammars and Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Shufflets: Shared Mid-level Parts for Fast Object Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

Dense Segmentation-Aware Descriptors.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Learning and Optimization for Shape-based Representations. (Apprentissage et Optimization pour des Representations basées sur la Forme).
, 2013

2012
Learning-Based Symmetry Detection in Natural Images.
Proceedings of the Computer Vision - ECCV 2012, 2012

Bounding Part Scores for Rapid Detection with Deformable Part Models.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Discovering discriminative action parts from mid-level video representations.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Intrinsic shape context descriptors for deformable shapes.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Inference and Learning with Hierarchical Shape Models.
Int. J. Comput. Vis., 2011

Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Shape grammar parsing via Reinforcement Learning.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images.
Proceedings of the British Machine Vision Conference, 2011

2010
Boundary Detection Using F-Measure-, Filter- and Feature- (F<sup>3</sup>) Boost.
Proceedings of the Computer Vision, 2010

Highly accurate boundary detection and grouping.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Scale-invariant heat kernel signatures for non-rigid shape recognition.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010



2009
Synergy between Object Recognition and Image Segmentation Using the Expectation-Maximization Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Texture Analysis and Segmentation Using Modulation Features, Generative Models, and Weighted Curve Evolution.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Inference and learning with hierarchical compositional models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

HOP: Hierarchical object parsing.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Computational analysis and learning for a biologically motivated model of boundary detection.
Neurocomputing, 2008

Scale invariance without scale selection.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Unsupervised Learning of Object Deformation Models.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Nonlinear speech analysis using models for chaotic systems.
IEEE Trans. Speech Audio Process., 2005

Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration.
Proceedings of the Variational, 2005

An Expectation Maximization Approach to the Synergy between Image Segmentation and Object Categorization.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004
Advances in texture analysis-energy dominant component & multiple hypothesis testing.
Proceedings of the 2004 International Conference on Image Processing, 2004

Modulation-feature based textured image segmentation using curve evolution.
Proceedings of the 2004 International Conference on Image Processing, 2004

A Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks.
Proceedings of the Computer Vision, 2004

2003
Nonlinear analysis of speech signals: generalized dimensions and lyapunov exponents.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

2002
Some advances in nonlinear speech modeling using modulations, fractals, and chaos.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002


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