Iasonas Kokkinos

发表

Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues

Iasonas Kokkinos, Andrea Vedaldi, Natalia Neverova, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Face Normals "In-the-Wild" Using Fully Convolutional Networks

Iasonas Kokkinos, George Trigeorgis, Stefanos Zafeiriou, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Identification of C. elegans Strains Using a Fully Convolutional Neural Network on Behavioural Dynamics

Iasonas Kokkinos, Jens Rittscher, Avelino Javer, 2018, ECCV Workshops.

Segmentation-Aware Convolutional Nets

Iasonas Kokkinos, Konstantinos G. Derpanis, Adam W. Harley, 2015 .

UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory

Iasonas Kokkinos, I. Kokkinos, Iasonas Kokkinos, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images pdf

Iasonas Kokkinos, Daniel C. Alexander, Stefano B. Blumberg, 2018, MICCAI.

An expectation maximization approach to the synergy between image segmentation and object categorization

Iasonas Kokkinos, Petros Maragos, P. Maragos, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Dense Pose Transfer

Iasonas Kokkinos, Natalia Neverova, Riza Alp Güler, 2018, ECCV.

Advances in texture analysis: energy dominant component & multiple hypothesis testing

Iasonas Kokkinos, Petros Maragos, Georgios Evangelopoulos, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Towards a Detailed Understanding of Objects and Scenes in Natural Images

Iasonas Kokkinos, Subhransu Maji, Ben Taskar, 2012 .

Going Deeper with Point Networks pdf

Iasonas Kokkinos, Niloy J. Mitra, Eric-Tuan Le, 2019, ArXiv.

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance

Iasonas Kokkinos, Nikos Paragios, Dimitris Samaras, 2018, ECCV.

New Results - Biological and Computational Vision

Iasonas Kokkinos, Rachid Deriche, Petros Maragos, 2007 .

3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images

Iasonas Kokkinos, Guoyan Zheng, Nikos Paragios, 2011, BMVC.

Robot–Robot Gesturing for Anchoring Representations

Iasonas Kokkinos, Polychronis Kondaxakis, Ville Kyrki, 2019, IEEE Transactions on Robotics.

Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound

Iasonas Kokkinos, I. Kokkinos, Iasonas Kokkinos, 2011, NIPS.

Discovering discriminative action parts from mid-level video representations

Iasonas Kokkinos, Stefano Soatto, Michalis Raptis, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Scale invariance without scale selection

Iasonas Kokkinos, Alan L. Yuille, A. Yuille, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

PhD and Internship proposals in Ecole Centrale Paris-INRIA

Iasonas Kokkinos, Iasonas Kokkinos, 2015 .

Learning-Based Symmetry Detection in Natural Images

Iasonas Kokkinos, Stavros Tsogkas, I. Kokkinos, 2012, ECCV.

Accurate Human-Limb Segmentation in RGB-D Images for Intelligent Mobility Assistance Robots

Iasonas Kokkinos, Stavros Tsogkas, Siddhartha Chandra, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Going Deeper With Lean Point Networks

Iasonas Kokkinos, Niloy J. Mitra, Eric-Tuan Le, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

CreativeAI: deep learning for graphics

Iasonas Kokkinos, Tobias Ritschel, Niloy J. Mitra, 2018, SIGGRAPH 2018.

Learning Dense Convolutional Embeddings for Semantic Segmentation pdf

Iasonas Kokkinos, Konstantinos G. Derpanis, Adam W. Harley, 2015, ArXiv.

Accelerating Deformable Part Models with Branch-and-Bound

Iasonas Kokkinos, Iasonas Kokkinos, 2016, Perspectives in Shape Analysis.

DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild

Iasonas Kokkinos, George Trigeorgis, Stefanos Zafeiriou, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

SHREC 2010: robust large-scale shape retrieval benchmark

Iasonas Kokkinos, Leonidas J. Guibas, Maks Ovsjanikov, 2010 .

Surpassing Humans in Boundary Detection using Deep Learning pdf

Iasonas Kokkinos, Iasonas Kokkinos, 2015, ICLR.

Prior-Based Coregistration and Cosegmentation

Iasonas Kokkinos, Nikos Paragios, Samuel Kadoury, 2016, MICCAI.

Segmentation-Aware Deformable Part Models

Iasonas Kokkinos, Francesc Moreno-Noguer, Alberto Sanfeliu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Inference and Learning with Hierarchical Shape Models

Iasonas Kokkinos, Alan L. Yuille, A. Yuille, 2011, International Journal of Computer Vision.

Parsing Facades with Shape Grammars and Reinforcement Learning

Iasonas Kokkinos, Nikos Paragios, Olivier Teboul, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation

Iasonas Kokkinos, Riza Alp Güler, Stefan Kinauer, 2017, EMMCVPR.

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

Iasonas Kokkinos, George Papandreou, Alan L. Yuille, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Understanding Objects in Detail with Fine-Grained Attributes

Iasonas Kokkinos, Subhransu Maji, Ben Taskar, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks

Iasonas Kokkinos, Eleftheria Panagiotaki, Francesco Giganti, 2018, MLMI@MICCAI.

Nonlinear speech analysis using models for chaotic systems

Iasonas Kokkinos, Petros Maragos, P. Maragos, 2005, IEEE Transactions on Speech and Audio Processing.

Dissemination - Scientific Community animation

Iasonas Kokkinos, Nikos Komodakis, Nikos Paragios, 2009 .

Boundary Detection Using F-Measure-, Filter- and Feature- (F3) Boost

Iasonas Kokkinos, I. Kokkinos, Iasonas Kokkinos, 2010, ECCV.

Shape grammar parsing via Reinforcement Learning

Iasonas Kokkinos, Nikos Paragios, Olivier Teboul, 2011, CVPR 2011.

SHREC'10 Track: Robust Shape Retrieval

Iasonas Kokkinos, Leonidas J. Guibas, Maks Ovsjanikov, 2010, 3DOR@Eurographics.

Deep, Dense, and Low-Rank Gaussian Conditional Random Fields pdf

Iasonas Kokkinos, Siddhartha Chandra, Iasonas Kokkinos, 2016, ArXiv.

Deep Spatio-Temporal Random Fields for Efficient Video Segmentation

Iasonas Kokkinos, Camille Couprie, Siddhartha Chandra, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Semantic Part Segmentation with Deep Learning pdf

Iasonas Kokkinos, George Papandreou, Andrea Vedaldi, 2015, ArXiv.

Dense and Low-Rank Gaussian CRFs Using Deep Embeddings

Iasonas Kokkinos, Nicolas Usunier, Siddhartha Chandra, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Computational analysis and learning for a biologically motivated model of boundary detection

Iasonas Kokkinos, Rachid Deriche, Petros Maragos, 2008, Neurocomputing.

Bounding Part Scores for Rapid Detection with Deformable Part Models

Iasonas Kokkinos, 2012, ECCV Workshops.

Deformable Part Models with CNN Features

Iasonas Kokkinos, George Papandreou, Stavros Tsogkas, 2014, ECCV 2014.

Unsupervised Learning of Object Deformation Models

Iasonas Kokkinos, Alan L. Yuille, A. Yuille, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Data Acquisition towards Defining a Multimodal Interaction Model for Human - Assistive Robot Communication

Iasonas Kokkinos, Petros Maragos, Bartlomiej Stanczyk, 2014, HCI.

Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion

Iasonas Kokkinos, Dimitris Samaras, Riza Alp Güler, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Mass Displacement Networks

Iasonas Kokkinos, Natalia Neverova, 2018, BMVC.

Editorial- Deep Learning for Computer Vision

Iasonas Kokkinos, Xiaogang Wang, Jitendra Malik, 2017, Comput. Vis. Image Underst..

Deep Convolutional Feature Point Descriptors

Iasonas Kokkinos, Francesc Moreno-Noguer, Pascal Fua, 2015, ICCV 2015.

Modeling local and global deformations in Deep Learning: Epitomic convolution, Multiple Instance Learning, and sliding window detection

Iasonas Kokkinos, George Papandreou, Pierre-André Savalle, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation

Iasonas Kokkinos, Eleftheria Panagiotaki, Francesco Giganti, 2020, MICCAI.

New Results - Model-free and Model-based Segmentation, Tracking

Iasonas Kokkinos, Nikos Komodakis, Nikos Paragios, 2008 .

HOP: Hierarchical object parsing

Iasonas Kokkinos, Alan L. Yuille, A. Yuille, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

HOP: Hierarchical object parsing

Iasonas Kokkinos, Alan L. Yuille, 2009, CVPR.

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

Iasonas Kokkinos, George Papandreou, Pierre-André Savalle, 2014, ArXiv.

Editorial introduction to the CVIU special issue on "Generative models in computer vision and medical imaging"

Iasonas Kokkinos, Adrian Barbu, Adrian Barbu, 2015, Comput. Vis. Image Underst..

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

Iasonas Kokkinos, Iasonas Kokkinos, 2013 .

Scale-invariant heat kernel signatures for non-rigid shape recognition

Iasonas Kokkinos, Michael M. Bronstein, M. Bronstein, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild

Iasonas Kokkinos, Stefanos Zafeiriou, Michael M. Bronstein, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

CreativeAI: Deep learning for graphics SIGGRAPH 2019

Iasonas Kokkinos, Leonidas J. Guibas, Niloy J. Mitra, 2019, SIGGRAPH 2019.

SHREC'10 Track: Feature Detection and Description

Iasonas Kokkinos, Leonidas J. Guibas, Maks Ovsjanikov, 2010, 3DOR@Eurographics.

Intrinsic shape context descriptors for deformable shapes

Iasonas Kokkinos, Alexander M. Bronstein, Michael M. Bronstein, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Fracking Deep Convolutional Image Descriptors pdf

Iasonas Kokkinos, Francesc Moreno-Noguer, Eduard Trulls, 2014, ArXiv.

Holistic Multi-View Building Analysis in the Wild with Projection Pooling pdf

Iasonas Kokkinos, Krzysztof Maziarz, Zbigniew Wojna, 2020, AAAI.

HoloPose: Holistic 3D Human Reconstruction In-The-Wild

Iasonas Kokkinos, Riza Alp Güler, R. Güler, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Learning for Computer Graphics and Geometry Processing

Iasonas Kokkinos, Leonidas J. Guibas, Niloy J. Mitra, 2019, Eurographics.

Deep Learning for Graphics

Iasonas Kokkinos, Ersin Yumer, Tobias Ritschel, 2018, Eurographics.

Deep Learning Enhanced Extended Depth-of-Field for Thick Blood-Film Malaria High-Throughput Microscopy pdf

Iasonas Kokkinos, Michael J. Shaw, John Shawe-Taylor, 2019, ArXiv.

Advances in Intelligent Mobility Assistance Robot Integrating Multimodal Sensory Processing

Iasonas Kokkinos, Petros Maragos, Bartlomiej Stanczyk, 2014, HCI.

Monocular Surface Reconstruction Using 3D Deformable Part Models

Iasonas Kokkinos, Maxim Berman, Stefan Kinauer, 2016, ECCV Workshops.

Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision

Iasonas Kokkinos, Petros Maragos, Vassilis Pitsikalis, 2016, ECCV Workshops.

Learning Filterbanks from Raw Speech for Phone Recognition

Iasonas Kokkinos, Nicolas Usunier, Emmanuel Dupoux, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration

Iasonas Kokkinos, Petros Maragos, Georgios Evangelopoulos, 2005, VLSM.

Shufflets: Shared Mid-level Parts for Fast Multi-Category Detection

Iasonas Kokkinos, Iasonas Kokkinos, 2013, ICCV 2013.

Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models

Iasonas Kokkinos, Haithem Boussaid, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation

Iasonas Kokkinos, Nikos Paragios, Haithem Boussaid, 2013, EMMCVPR.

Texture Analysis and Segmentation Using Modulation Features, Generative Models, and Weighted Curve Evolution

Iasonas Kokkinos, Petros Maragos, Georgios Evangelopoulos, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Attentive Single-Tasking of Multiple Tasks

Iasonas Kokkinos, Kevis-Kokitsi Maninis, Ilija Radosavovic, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models

Iasonas Kokkinos, Petros Maragos, Alan L. Yuille, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Synergy between Object Recognition and Image Segmentation Using the Expectation-Maximization Algorithm

Iasonas Kokkinos, Petros Maragos, P. Maragos, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Some advances in nonlinear speech modeling using modulations, fractals, and chaos

Iasonas Kokkinos, Petros Maragos, A. G. Dimakis, 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).

Sub-cortical brain structure segmentation using F-CNN'S

Iasonas Kokkinos, Nikos Paragios, Samuel Kadoury, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Towards bridging the Gap between Biological and Computational Image Segmentation

Iasonas Kokkinos, Rachid Deriche, Petros Maragos, 2007 .

Describing Textures in the Wild

Iasonas Kokkinos, Subhransu Maji, Andrea Vedaldi, 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Discriminative learning of deformable contour models

Iasonas Kokkinos, Nikos Paragios, Haithem Boussaid, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

MultiGrain: a unified image embedding for classes and instances pdf

Iasonas Kokkinos, Matthijs Douze, Andrea Vedaldi, 2019, ArXiv.

Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models - eScholarship

Iasonas Kokkinos, Petros Maragos, Alan L. Yuille, 2006 .

Segmentation-Aware Convolutional Networks Using Local Attention Masks

Iasonas Kokkinos, Konstantinos G. Derpanis, Adam W. Harley, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Two Stream Pose Transfer Guided by Dense Pose Estimation

Iasonas Kokkinos, Natalia Neverova, Alp Guler, 2018, ECCV 2018.

Surface Based Object Detection in RGBD Images

Iasonas Kokkinos, Grigorios G. Chrysos, Siddhartha Chandra, 2015, BMVC.

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs pdf

Iasonas Kokkinos, George Papandreou, Alan L. Yuille, 2014, ICLR.

Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs

Iasonas Kokkinos, Siddhartha Chandra, Iasonas Kokkinos, 2016, ECCV.

CreativeAI: deep learning for graphics

Iasonas Kokkinos, Leonidas J. Guibas, Niloy J. Mitra, 2019, SIGGRAPH Courses.

Deep Filter Banks for Texture Recognition, Description, and Segmentation

Iasonas Kokkinos, Subhransu Maji, Andrea Vedaldi, 2015, International Journal of Computer Vision.

Highly accurate boundary detection and grouping

Iasonas Kokkinos, I. Kokkinos, Iasonas Kokkinos, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Nonlinear analysis of speech signals: generalized dimensions and lyapunov exponents

Iasonas Kokkinos, Petros Maragos, Vassilis Pitsikalis, 2003, INTERSPEECH.

Discriminative Learning of Deep Convolutional Feature Point Descriptors

Iasonas Kokkinos, Francesc Moreno-Noguer, Pascal Fua, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Pushing the Boundaries of Boundary Detection using Deep Learning

Iasonas Kokkinos, Iasonas Kokkinos, 2015, ICLR 2016.

Shufflets: Shared Mid-level Parts for Fast Object Detection

Iasonas Kokkinos, I. Kokkinos, 2013, 2013 IEEE International Conference on Computer Vision.

Modulation-feature based textured image segmentation using curve evolution

Iasonas Kokkinos, Petros Maragos, Georgios Evangelopoulos, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

BLSM: A Bone-Level Skinned Model of the Human Mesh

Iasonas Kokkinos, Stefanos Zafeiriou, Riza Alp Güler, 2020, ECCV.

Inference and learning with hierarchical compositional models

Iasonas Kokkinos, Alan L. Yuille, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

DensePose: Dense Human Pose Estimation in the Wild

Iasonas Kokkinos, Natalia Neverova, Riza Alp Güler, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Dense Segmentation-Aware Descriptors

Iasonas Kokkinos, Francesc Moreno-Noguer, Alberto Sanfeliu, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Appreciation to IJCV Reviewers

Reinhard Koch, Iasonas Kokkinos, Jan-Michael Frahm, 2012, International Journal of Computer Vision.

Learning monocular 3D reconstruction of articulated categories from motion

Iasonas Kokkinos, Filippos Kokkinos, Filippos Kokkinos, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Holistic Multi-View Building Analysis in the Wild with Projection Pooling

Iasonas Kokkinos, Krzysztof Maziarz, Zbigniew Wojna, 2021, AAAI.

Synthesizing VERDICT maps from standard DWI data using GANs

Iasonas Kokkinos, Eleftheria Panagiotaki, Francesco Giganti, 2021, bioRxiv.

To The Point: Correspondence-driven monocular 3D category reconstruction pdf

Iasonas Kokkinos, Filippos Kokkinos, Filippos Kokkinos, 2021, NeurIPS.

Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation pdf

Iasonas Kokkinos, Eleftheria Panagiotaki, Francesco Giganti, 2021, DART/FAIR@MICCAI.

Describing Textures in the Wild Mircea Cimpoi

Iasonas Kokkinos, Andrea Vedaldi, Mircea Cimpoi, 2019 .

ÜberNet: a ‘Universal’ CNN for the Joint Treatment of Low-, Mid-, and High-Level Vision Problems

Iasonas Kokkinos, Iasonas Kokkinos, 2016 .

DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild

Iasonas Kokkinos, George Trigeorgis, Stefanos Zafeiriou, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).