2017


S. Chandra, N. Usunier and I. Kokkinos Dense and Low-Rank Gaussian CRFs Using Deep Embeddings Proc. Int.l Conf. on Computer Vision (ICCV), 2017 pdf project .

A. Harley, K. Derpanis and I. Kokkinos Segmentation-Aware Convolutional Networks Using Local Attention Masks Proc. Int.l Conf. on Computer Vision (ICCV), 2017 pdf project .

I. Kokkinos, UberNet: Training a ‘Universal’ CNN for Low-, Mid-, and High- Level Vision using Diverse Datasets and Limited Memory Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017 (oral) arxiv, code video .

A. Guler, G. Trigeorgis, E. Antontakos, P. Snape, S. Zafeiriou and I. Kokkinos DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild , Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017, project page

G. Trigeorgis, E. Antontakos, P. Snape, I. Kokkinos and S. Zafeiriou Dense Face Normal Estimation in the Wild , Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017.

L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, A. L. Yuille, DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
arxiv, accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017

2016


S. Chandra and I. Kokkinos, Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs Proc. European Conf. on Computer Vision (ECCV), 2016

I. Kokkinos, Pushing the Boundaries of Boundary Detection using Deep Learning arxiv, Int.l Conf. on Learning Representations (ICLR), 2016. code

M. Shakeri, S. Tsogkas, E. Ferrante, S. Lippe, S. Kadouri, N. Paragios, I. Kokkinos, Coregistration and Cosegmentation with Weak Segmentation Priors MICCAI 2016

A. Harley, K. Derpanis and I. Kokkinos, Learning Dense Convolutional Embeddings for Semantic Segmentation arxiv, Int.l Conf. on Learning Representations (ICLR), workshop track, 2016

S. Tsogkas, M. Shakeri, E. Ferrante, S. Lippe, S. Kadoury, N. Paragios, I. Kokkinos, Sub-cortical Brain Structure Segmentation Using F-CNNs International Symposium on Biomedical Imaging (ISBI 2016) pdf

M. Cimpoi, S. Maji, I. Kokkinos and A. Vedaldi, Deep filter banks for texture recognition, description, and segmentation International Journal of Computer Vision (IJCV), 2016. arxiv

2015

E. Simo-Serra, E. Trulls, L. Ferraz, I. Kokkinos, P. Fua, F. Moreno-Noguer, Deep Convolutional Feature Point Descriptors Proc. Int.l Conf. on Computer Vision (ICCV), 2015.

G. Papandreou, I. Kokkinos and P. A. Savalle
Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection
CVPR 2015, arxiv version

L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy and A. Yuille
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
ICLR 2015,
arXiv:1412.7062v1

E. Trulls, I. Kokkinos, A. Sanfeliu and F. Moreno, Dense Segmentation-Aware Descriptors In Dense Image Correspondences for Computer Vision, Ed.s C. Liu and T. Hassner, Springer, 2015.

I. Kokkinos Accelerating Deformable Part Models with Branch-and-Bound, In Perspectives in Shape Analysis - Dagstuhl Seminar on New Perspectives in Shape Analysis, Ed.s M. Breuß, A. Bruckstein, P. Maragos and St. Wuhrer, Springer, 2015.

S. Chandra, S. Tsogkas and I. Kokkinos, Accurate Human-Limb Segmentation in RGB-D images for Intelligent Mobility Assistance Robots ICCV Workshops, 2015

S. Chandra, G. Chrysos and I. Kokkinos, Surface Based Object Detection in RGBD Images, Proc. British Machine Vision Conference (BMVC), 2015.

S. Tsogkas, I. Kokkinos, G. Papandreou and A. Vedaldi, Deep Learning for Semantic Part Segmentation with High-Level Guidance arxiv, 2015

2014

E. Simo-Serra, E. Trulls, L. Ferraz, I. Kokkinos and F. Moreno-Noguer
Fracking Deep Convolutional Image Descriptors
arXiv:1412.7062v1, 2014 external link

P.-A. Savalle, S. Tsogkas, G. Papandreou and I. Kokkinos
Deformable Part Models with CNN Features
3rd Parts and Attributes Workshop, in conjunction with ECCV 2014.

H. Boussaid and I. Kokkinos
Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2014.

E. Trulls, S. Tsogkas, I. Kokkinos, A. Sanfeliu and F. Moreno
Segmentation-Aware Deformable Part Models
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2014.

M. Cimpol, S. Maji, I. Kokkinos, S. Mohamed and A. Vedaldi
Describing Textures in the Wild
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2014.

A. Vedaldi, S. Mahendran, S. Tsogkas, S. Maji, B. Girshick, J. Kannala, E. Rahtu, I. Kokkinos, M. B. Blaschko, D. Weiss, B. Taskar, K. Simonyan, N. Saphra, and S. Mohamed
Understanding Objects in Detail with Fine-grained Attributes,
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2014.

H. Boussaid, I. Kokkinos and N. Paragios
Discriminative Learning of Deformable Contour Models
Int.l Symposium on Biomedical Imaging (ISBI), 2014.

2013

I. Kokkinos
Shufflets: Shared Mid-level Parts for Fast Object Detection
Proc. Int.l Conf. on Computer Vision (ICCV), 2013.

I. Kokkinos
Learning and Optimization for Shape-based representations [Slides]
Habilitation a Diriger des Recherches.

E. Trulls, I. Kokkinos, A. Sanfeliu, and F. Moreno
Dense Segmentation-Aware Descriptors [code]
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2013.

H. Boussaid, I. Kokkinos, N. Paragios
Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation
Proc. Intl. Conf. on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013.

O. Teboul, I. Kokkinos, S. Loic, P. Katsourakis and N. Paragios
Parsing Facades with Shape Grammars and Reinforcement Learning [code] [benchmark]
IEEE Transactions on PAMI, accepted for publication.

2012

S. Tsogkas and I. Kokkinos
Learning-Based Symmetry Detection in Natural Images [code/benchmark]
Proc. European Conf. on Computer Vision (ECCV), 2012.

I. Kokkinos
Bounding Part Scores for Rapid Detection with Deformable Part Models [code]
2nd Parts and Attributes Workshop, in conjunction with ECCV 2012.

I. Kokkinos, M. Bronstein, R. Littman and A. Bronstein
Intrinsic Shape Context Descriptors for Deformable Shapes [code]
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2012.

M. Raptis, I. Kokkinos, S. Soatto
Discovering Discriminative Action Parts from Mid-Level Video Representations [code/annotations]
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2012.

I. Kokkinos, M. Bronstein and A. Yuille
Dense Scale-Invariant Descriptors for Images and Surfaces [code]
INRIA Research Report 7914

2011

I. Kokkinos,
Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound [code]
Proc. Neural Information Processing Systems(NIPS), 2011.
The results are slightly outdated; an up-to-date and cleaner presentation is available here [pdf]

I. Kokkinos and A. Yuille,
Inference and Learning with Hierarchical Shape Models
Int.l Journal of Computer Vision (IJCV), Vol. 93(2): 201-225 (2011)

O. Teboul, I. Kokkinos, P. Koutsourakis, L. Simon and N. Paragios.
Shape Grammar Parsing via Reinforcement Learning [code] [benchmark]
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2011.

2010

I. Kokkinos,
Boundary Detection using F-Measure-, Filter- and Feature boost" [slides] [poster (Sep.'10, F=.73)]
Proc. European Conf. on Computer Vision (ECCV), 2010.

I. Kokkinos,
Highly Accurate Boundary Detection and Grouping [code]
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2010.

M. Bronstein and I. Kokkinos,
Scale-invariant heat kernel signatures for non-rigid shape recognition [code]
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2010.

2009

I. Kokkinos and P. Maragos,
Synergy Between Image Segmentation and Object Recognition Using the Expectation Maximization Algorithm
IEEE Transactions on PAMI, Vol. 31(8), pp. 1486-1501, 2009.

I. Kokkinos, G. Evangelopoulos and P. Maragos,
Texture Analysis and Segmentation using Modulation Features, Generative Models and Weighted Curve Evolution [code]
IEEE Transactions on PAMI, Vol. 31(1), pp. 142-157, 2009.

I. Kokkinos and A. Yuille,
HOP: Hierarchical Object Parsing
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2009.

2008

I. Kokkinos, R. Deriche, O. Faugeras and P. Maragos,
Computational Analysis and Learning for a Biologically Motivated Model of Boundary Detection
Neurocomputing, Vol. 71(10-12), pp. 1798-1812, 2008.

I. Kokkinos and A. Yuille,
Scale Invariance without Scale Selection [code]
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2008.

2007

I. Kokkinos and A. Yuille,
Unsupervised Learning of Object Deformation Models [supplement] [slides]
Proc. IEEE Int'l. Conf. on Computer Vision (ICCV), 2007.

I.Kokkinos, R.Deriche, Olivier Faugeras and P.Maragos,
Towards Bridging the Gap Between Biological and Computational Segmentation.
INRIA Research Report RR-6317, 2007

2006

I. Kokkinos, P. Maragos and A. Yuille,
Bottom-Up and Top-Down Object Detection Using Primal Sketch Features and Graphical Models
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2006.

I. Kokkinos.
Synergy between Image Segmentation and Object Recognition using Geometrical and Statistical Computer Vision Techniques [slides] (In Greek)
PhD Thesis, School of Electrical and Computer Engineering, National Technical University of Athens, 2006

2005

I. Kokkinos and P. Maragos,
Nonlinear Speech Analysis Using Models for Chaotic Systems
IEEE Trans. on Speech and Audio Processing, Vol. 13(6), pp. 1098-1109, 2005.

I. Kokkinos and P. Maragos,
An Expectation Maximization Approach to the Synergy Between Image Segmentation and Object Categorization
Proc. IEEE Int'l. Conf. on Computer Vision (ICCV), 2005.

I. Kokkinos and P. Maragos,
A Detection-Theoretic Approach to Texture and Edge Discrimination.
Proc. 4th Int'l. Workshop on Texture Analysis and Synthesis, in conjunction with ICCV 2005.

G. Evangelopoulos, I. Kokkinos and P. Maragos,
Advances in Variational Image Segmentation using AM-FM models: Regularized Demodulation and Probabilistic Cue Integration
Proc. 3rd IEEE Variational and Level-Set Methods (VLSM) Workshop, in conjunction with ICCV 05.

2004

I. Kokkinos, R. Deriche, P. Maragos and O. Faugeras,
A Biologically Motivated and Computationally Tractable Model of Low- and Mid- Level Vision Tasks.

Proc. European Conference on Computer Vision (ECCV), 2004.

I. Kokkinos, G. Evangelopoulos and P. Maragos,
Advances in Texture Analysis: Energy Dominant Component & Multiple Hypothesis Testing,
Proc. IEEE Int'l. Conf. on Image Processing (ICIP), 2004.

I. Kokkinos, G. Evangelopoulos and P. Maragos,
Modulation-Feature based Textured Image Segmentation Using Curve Evolution
Proc. IEEE Int'l. Conf. on Image Processing (ICIP), 2004.

2003

V. Pitsikalis, I. Kokkinos and P. Maragos,
Nonlinear Analysis of Speech Signals: Generalized Dimensions and Lyapunov Exponents.
Proc. European Conference on Speech Communication and Technology (EUROSPEECH), 2003.

2002

P. Maragos, A. Dimakis and I. Kokkinos.
Some Advances in Nonlinear Speech Modelling Using Modulations Fractals and Chaos
Proc. IEEE Int'l. Conf. on Digital Signal Processing, 2002.

2001

I. Kokkinos.
Nonlinear Speech Processing Using Models for Chaotic Systems, [report] (In Greek)
D. Eng. Thesis, School of Electrical and Computer Engineering, NTUA, 2001