Some advances in nonlinear speech modeling using modulations, fractals, and chaos. - Petros Maragos; Alexandros G. Dimakis; Iasonas Kokkinos (DSP, 2002)

Nonlinear analysis of speech signals: generalized dimensions and lyapunov exponents. - Vassilis Pitsikalis; Iasonas Kokkinos; Petros Maragos (INTERSPEECH, 2003)

A Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks. - Iasonas Kokkinos; Rachid Deriche; Petros Maragos; Olivier D. Faugeras (ECCV (2), 2004)

Modulation-feature based textured image segmentation using curve evolution. - Iasonas Kokkinos; Georgios Evangelopoulos; Petros Maragos (ICIP, 2004)

Advances in texture analysis-energy dominant component & multiple hypothesis testing. - Iasonas Kokkinos; Georgios Evangelopoulos; Petros Maragos (ICIP, 2004)

An Expectation Maximization Approach to the Synergy between Image Segmentation and Object Categorization. - Iasonas Kokkinos; Petros Maragos (ICCV, 2005)

Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration. - Georgios Evangelopoulos; Iasonas Kokkinos; Petros Maragos (VLSM, 2005)

Nonlinear speech analysis using models for chaotic systems. - Iasonas Kokkinos; Petros Maragos (IEEE Trans. Speech Audio Process., 2005)

Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models. - Iasonas Kokkinos; Petros Maragos; Alan L. Yuille (CVPR (2), 2006)

Unsupervised Learning of Object Deformation Models. - Iasonas Kokkinos; Alan L. Yuille (ICCV, 2007)

Scale invariance without scale selection. - Iasonas Kokkinos; Alan L. Yuille (CVPR, 2008)

Computational analysis and learning for a biologically motivated model of boundary detection. - Iasonas Kokkinos; Rachid Deriche; Olivier D. Faugeras; Petros Maragos (Neurocomputing, 2008)

HOP: Hierarchical object parsing. - Iasonas Kokkinos; Alan L. Yuille (CVPR, 2009)

Inference and learning with hierarchical compositional models. - Iasonas Kokkinos; Alan L. Yuille (CVPR Workshops, 2009)

Texture Analysis and Segmentation Using Modulation Features, Generative Models, and Weighted Curve Evolution. - Iasonas Kokkinos; Georgios Evangelopoulos; Petros Maragos (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Synergy between Object Recognition and Image Segmentation Using the Expectation-Maximization Algorithm. - Iasonas Kokkinos; Petros Maragos (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

SHREC'10 Track: Feature Detection and Description. - Alexander M. Bronstein; Michael M. Bronstein; Benjamin Bustos; Umberto Castellani; Marco Cristani; Bianca Falcidieno; Leonidas J. Guibas; Iasonas Kokkinos; Vittorio Murino; Maks Ovsjanikov; Giuseppe Patanè 001; Ivan Sipiran; et al. (3DOR@Eurographics, 2010)

SHREC'10 Track: Robust Shape Retrieval. - Alexander M. Bronstein; Michael M. Bronstein; Umberto Castellani; Bianca Falcidieno; Andrea Fusiello; Afzal Godil; Leonidas J. Guibas; Iasonas Kokkinos; Zhouhui Lian; Maks Ovsjanikov; Giuseppe Patanè 001; Michela Spagnuolo; et al. (3DOR@Eurographics, 2010)

Scale-invariant heat kernel signatures for non-rigid shape recognition. - Michael M. Bronstein; Iasonas Kokkinos (CVPR, 2010)

Highly accurate boundary detection and grouping. - Iasonas Kokkinos (CVPR, 2010)

Boundary Detection Using F-Measure-, Filter- and Feature- (F3) Boost. - Iasonas Kokkinos (ECCV (2), 2010)

3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images. - Haithem Boussaid; Samuel Kadoury; Iasonas Kokkinos; Jean-Yves Lazennec; Guoyan Zheng; Nikos Paragios (BMVC, 2011)

Shape grammar parsing via Reinforcement Learning. - Olivier Teboul; Iasonas Kokkinos; Loïc Simon; Panagiotis Koutsourakis; Nikos Paragios (CVPR, 2011)

Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound. - Iasonas Kokkinos (NIPS, 2011)

Inference and Learning with Hierarchical Shape Models. - Iasonas Kokkinos; Alan L. Yuille (Int. J. Comput. Vis., 2011)

Intrinsic shape context descriptors for deformable shapes. - Iasonas Kokkinos; Michael M. Bronstein; Roee Litman; Alexander M. Bronstein (CVPR, 2012)

Discovering discriminative action parts from mid-level video representations. - Michalis Raptis; Iasonas Kokkinos; Stefano Soatto (CVPR, 2012)

Bounding Part Scores for Rapid Detection with Deformable Part Models. - Iasonas Kokkinos (ECCV Workshops (3), 2012)

Learning-Based Symmetry Detection in Natural Images. - Stavros Tsogkas; Iasonas Kokkinos (ECCV (7), 2012)

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

Dense Segmentation-Aware Descriptors. - Eduard Trulls; Iasonas Kokkinos; Alberto Sanfeliu; Francesc Moreno-Noguer (CVPR, 2013)

Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation. - Haithem Boussaid; Iasonas Kokkinos; Nikos Paragios (EMMCVPR, 2013)

Shufflets: Shared Mid-level Parts for Fast Object Detection. - Iasonas Kokkinos (ICCV, 2013)

Parsing Facades with Shape Grammars and Reinforcement Learning. - Olivier Teboul; Iasonas Kokkinos; Loïc Simon; Panagiotis Koutsourakis; Nikos Paragios (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models. - Haithem Boussaid; Iasonas Kokkinos (CVPR, 2014)

Describing Textures in the Wild. - Mircea Cimpoi; Subhransu Maji; Iasonas Kokkinos; Sammy Mohamed; Andrea Vedaldi (CVPR, 2014)

Segmentation-Aware Deformable Part Models. - Eduard Trulls; Stavros Tsogkas; Iasonas Kokkinos; Alberto Sanfeliu; Francesc Moreno-Noguer (CVPR, 2014)

Understanding Objects in Detail with Fine-Grained Attributes. - Andrea Vedaldi; Siddharth Mahendran; Stavros Tsogkas; Subhransu Maji; Ross B. Girshick; Juho Kannala; Esa Rahtu; Iasonas Kokkinos; Matthew B. Blaschko; David J. Weiss; Ben Taskar; Karen Simonyan; et al. (CVPR, 2014)

Data Acquisition towards Defining a Multimodal Interaction Model for Human - Assistive Robot Communication. - Evita-Stavroula Fotinea; Eleni Efthimiou; Athanasia-Lida Dimou; Theodore Goulas; Panayotis Karioris; Angelika Peer; Petros Maragos; Costas S. Tzafestas; Iasonas Kokkinos; Klaus Hauer; Katja D. Mombaur; Yiannis Koumpouros; et al. (HCI (6), 2014)

Advances in Intelligent Mobility Assistance Robot Integrating Multimodal Sensory Processing. - Xanthi S. Papageorgiou; Costas S. Tzafestas; Petros Maragos; Georgios Pavlakos; Georgia Chalvatzaki; George Moustris; Iasonas Kokkinos; Angelika Peer; Bartlomiej Stanczyk; Evita-Stavroula Fotinea; Eleni Efthimiou (HCI (6), 2014)

Discriminative learning of deformable contour models. - Haithem Boussaid; Iasonas Kokkinos; Nikos Paragios (ISBI, 2014)

Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection. - George Papandreou; Iasonas Kokkinos; Pierre-André Savalle (CoRR, 2014)

Fracking Deep Convolutional Image Descriptors. - Edgar Simo-Serra; Eduard Trulls; Luis Ferraz; Iasonas Kokkinos; Francesc Moreno-Noguer (CoRR, 2014)

Surface Based Object Detection in RGBD Images. - Siddhartha Chandra; Grigorios G. Chrysos; Iasonas Kokkinos (BMVC, 2015)

Modeling local and global deformations in Deep Learning: Epitomic convolution, Multiple Instance Learning, and sliding window detection. - George Papandreou; Iasonas Kokkinos; Pierre-André Savalle (CVPR, 2015)

Discriminative Learning of Deep Convolutional Feature Point Descriptors. - Edgar Simo-Serra; Eduard Trulls; Luis Ferraz; Iasonas Kokkinos; Pascal Fua; Francesc Moreno-Noguer (ICCV, 2015)

Accurate Human-Limb Segmentation in RGB-D Images for Intelligent Mobility Assistance Robots. - Siddhartha Chandra; Stavros Tsogkas; Iasonas Kokkinos (ICCV Workshops, 2015)

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. - Liang-Chieh Chen; George Papandreou; Iasonas Kokkinos; Kevin Murphy 002; Alan L. Yuille (ICLR (Poster), 2015)

Learning Dense Convolutional Embeddings for Semantic Segmentation. - Adam W. Harley; Konstantinos G. Derpanis; Iasonas Kokkinos (CoRR, 2015)

Semantic Part Segmentation with Deep Learning. - Stavros Tsogkas; Iasonas Kokkinos; George Papandreou; Andrea Vedaldi (CoRR, 2015)

Editorial introduction to the CVIU special issue on "Generative models in computer vision and medical imaging". - Adrian Barbu; Iasonas Kokkinos (Comput. Vis. Image Underst., 2015)

Accelerating Deformable Part Models with Branch-and-Bound. - Iasonas Kokkinos (Perspectives in Shape Analysis, 2016)

Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs. - Siddhartha Chandra; Iasonas Kokkinos (ECCV (7), 2016)

Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision. - Riza Alp Güler; Nikolaos Kardaris; Siddhartha Chandra; Vassilis Pitsikalis; Christian Werner; Klaus Hauer; Costas S. Tzafestas; Petros Maragos; Iasonas Kokkinos (ECCV Workshops (2), 2016)

Monocular Surface Reconstruction Using 3D Deformable Part Models. - Stefan Kinauer; Maxim Berman; Iasonas Kokkinos (ECCV Workshops (3), 2016)

Sub-cortical brain structure segmentation using F-CNN'S. - Mahsa Shakeri; Stavros Tsogkas; Enzo Ferrante; Sarah Lippé; Samuel Kadoury; Nikos Paragios; Iasonas Kokkinos (ISBI, 2016)

Prior-Based Coregistration and Cosegmentation. - Mahsa Shakeri; Enzo Ferrante; Stavros Tsogkas; Sarah Lippé; Samuel Kadoury; Iasonas Kokkinos; Nikos Paragios (MICCAI (2), 2016)

Deep, Dense, and Low-Rank Gaussian Conditional Random Fields. - Siddhartha Chandra; Iasonas Kokkinos (CoRR, 2016)

Surpassing Humans in Boundary Detection using Deep Learning. - Iasonas Kokkinos (ICLR (Poster), 2016)

Deep Filter Banks for Texture Recognition, Description, and Segmentation. - Mircea Cimpoi; Subhransu Maji; Iasonas Kokkinos; Andrea Vedaldi (Int. J. Comput. Vis., 2016)

DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild. - Riza Alp Güler; George Trigeorgis; Epameinondas Antonakos; Patrick Snape; Stefanos Zafeiriou; Iasonas Kokkinos (CVPR, 2017)

UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory. - Iasonas Kokkinos (CVPR, 2017)

Face Normals "In-the-Wild" Using Fully Convolutional Networks. - George Trigeorgis; Patrick Snape; Iasonas Kokkinos; Stefanos Zafeiriou (CVPR, 2017)

Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation. - Stefan Kinauer; Riza Alp Güler; Siddhartha Chandra; Iasonas Kokkinos (EMMCVPR, 2017)

Dense and Low-Rank Gaussian CRFs Using Deep Embeddings. - Siddhartha Chandra; Nicolas Usunier; Iasonas Kokkinos (ICCV, 2017)

Segmentation-Aware Convolutional Networks Using Local Attention Masks. - Adam W. Harley; Konstantinos G. Derpanis; Iasonas Kokkinos (ICCV, 2017)

Editorial- Deep Learning for Computer Vision. - Ross B. Girshick; Iasonas Kokkinos; Ivan Laptev; Jitendra Malik; George Papandreou; Andrea Vedaldi; Xiaogang Wang 001; Shuicheng Yan; Alan L. Yuille (Comput. Vis. Image Underst., 2017)

Mass Displacement Networks. - Natalia Neverova; Iasonas Kokkinos (BMVC, 2018)

Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. - Siddhartha Chandra; Camille Couprie; Iasonas Kokkinos (CVPR, 2018)

DensePose: Dense Human Pose Estimation in the Wild. - Riza Alp Güler; Natalia Neverova; Iasonas Kokkinos (CVPR, 2018)

Identification of C. elegans Strains Using a Fully Convolutional Neural Network on Behavioural Dynamics. - Avelino Javer; André E. X. Brown; Iasonas Kokkinos; Jens Rittscher (ECCV Workshops (6), 2018)

Dense Pose Transfer. - Natalia Neverova; Riza Alp Güler; Iasonas Kokkinos (ECCV (3), 2018)

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. - Zhixin Shu; Mihir Sahasrabudhe; Riza Alp Güler; Dimitris Samaras; Nikos Paragios; Iasonas Kokkinos (ECCV (10), 2018)

Deep Learning for Graphics. - Niloy J. Mitra; Tobias Ritschel 001; Iasonas Kokkinos; Paul Guerrero 001; Vladimir G. Kim; Konstantinos Rematas; Ersin Yumer (Eurographics (Tutorials), 2018)

Learning Filterbanks from Raw Speech for Phone Recognition. - Neil Zeghidour; Nicolas Usunier; Iasonas Kokkinos; Thomas Schatz; Gabriel Synnaeve; Emmanuel Dupoux (ICASSP, 2018)

Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images. - Stefano B. Blumberg; Ryutaro Tanno; Iasonas Kokkinos; Daniel C. Alexander (MICCAI (1), 2018)

Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks. - Eleni Chiou; Francesco Giganti; Elisenda Bonet-Carne; Shonit Punwani; Iasonas Kokkinos; Eleftheria Panagiotaki (MLMI@MICCAI, 2018)

DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild. - Riza Alp Güler; Yuxiang Zhou; George Trigeorgis; Epameinondas Antonakos; Patrick Snape; Stefanos Zafeiriou; Iasonas Kokkinos (CoRR, 2018)

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. - Liang-Chieh Chen; George Papandreou; Iasonas Kokkinos; Kevin Murphy 002; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

HoloPose: Holistic 3D Human Reconstruction In-The-Wild. - Riza Alp Güler; Iasonas Kokkinos (CVPR, 2019)

Attentive Single-Tasking of Multiple Tasks. - Kevis-Kokitsi Maninis; Ilija Radosavovic; Iasonas Kokkinos (CVPR, 2019)

Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues. - Natalia Neverova; James Thewlis; Riza Alp Güler; Iasonas Kokkinos; Andrea Vedaldi (CVPR, 2019)

Deep Learning for Computer Graphics and Geometry Processing. - Michael M. Bronstein; Leonidas J. Guibas; Iasonas Kokkinos; Or Litany; Niloy J. Mitra; Federico Monti; Emanuele Rodolà (Eurographics (Tutorials), 2019)

Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion. - Mihir Sahasrabudhe; Zhixin Shu; Edward Bartrum; Riza Alp Güler; Dimitris Samaras; Iasonas Kokkinos (ICCV Workshops, 2019)

CreativeAI: deep learning for graphics. - Niloy J. Mitra; Iasonas Kokkinos; Paul Guerrero 001; Nils Thuerey; Vladimir G. Kim; Leonidas J. Guibas (SIGGRAPH Courses, 2019)

MultiGrain: a unified image embedding for classes and instances. - Maxim Berman; Hervé Jégou; Andrea Vedaldi; Iasonas Kokkinos; Matthijs Douze (CoRR, 2019)

Deep Learning Enhanced Extended Depth-of-Field for Thick Blood-Film Malaria High-Throughput Microscopy. - Petru Manescu; Lydia Neary-Zajiczek; Michael J. Shaw; Muna Elmi; Remy Claveau; Vijay Pawar; John Shawe-Taylor; Iasonas Kokkinos; Mandayam A. Srinivasan; Ikeoluwa Lagunju; Olugbemiro Sodeinde; Biobele J. Brown; et al. (CoRR, 2019)

Going Deeper with Point Networks. - Eric-Tuan Le; Iasonas Kokkinos; Niloy J. Mitra (CoRR, 2019)

Robot-Robot Gesturing for Anchoring Representations. - Polychronis Kondaxakis; Khurram Gulzar; Stefan Kinauer; Iasonas Kokkinos; Ville Kyrki (IEEE Trans. Robotics, 2019)

Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild. - Dominik Kulon; Riza Alp Güler; Iasonas Kokkinos; Michael M. Bronstein; Stefanos Zafeiriou (CVPR, 2020)

Going Deeper With Lean Point Networks. - Eric-Tuan Le; Iasonas Kokkinos; Niloy J. Mitra (CVPR, 2020)

BLSM: A Bone-Level Skinned Model of the Human Mesh. - Haoyang Wang 002; Riza Alp Güler; Iasonas Kokkinos; George Papandreou; Stefanos Zafeiriou (ECCV (5), 2020)

Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation. - Eleni Chiou; Francesco Giganti; Shonit Punwani; Iasonas Kokkinos; Eleftheria Panagiotaki (MICCAI (1), 2020)

Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. - Lipeng Ning; Elisenda Bonet-Carne; Francesco Grussu; Farshid Sepehrband; Enrico Kaden; Jelle Veraart; Stefano B. Blumberg; Can Son Khoo; Marco Palombo; Iasonas Kokkinos; Daniel C. Alexander; Jaume Coll-Font; et al. (NeuroImage, 2020)

Softmesh: Learning Probabilistic Mesh Connectivity via Image Supervision. - Eric-Tuan Lê; Niloy J. Mitra; Iasonas Kokkinos (3DV, 2021)

Holistic Multi-View Building Analysis in the Wild with Projection Pooling. - Zbigniew Wojna; Krzysztof Maziarz; Lukasz Jocz; Robert Paluba; Robert Kozikowski; Iasonas Kokkinos (AAAI, 2021)

Learning Monocular 3D Reconstruction of Articulated Categories From Motion. - Filippos Kokkinos; Iasonas Kokkinos (CVPR, 2021)

Unsupervised Domain Adaptation with Semantic Consistency Across Heterogeneous Modalities for MRI Prostate Lesion Segmentation. - Eleni Chiou; Francesco Giganti; Shonit Punwani; Iasonas Kokkinos; Eleftheria Panagiotaki (DART/FAIR@MICCAI, 2021)

Synthesizing VERDICT Maps from Standard DWI Data Using GANs. - Eleni Chiou; Vanya V. Valindria; Francesco Giganti; Shonit Punwani; Iasonas Kokkinos; Eleftheria Panagiotaki (CDMRI@MICCAI, 2021)

To The Point: Correspondence-driven monocular 3D category reconstruction. - Filippos Kokkinos; Iasonas Kokkinos (NeurIPS, 2021)

Beyond Deterministic Translation for Unsupervised Domain Adaptation. - Eleni Chiou; Eleftheria Panagiotaki; Iasonas Kokkinos (BMVC, 2022)

Correlation Based Semantic Transfer with Application to Domain Adaptation. - Florina-Cristina Calnegru; John Shawe-Taylor; Iasonas Kokkinos; Razvan Pascanu (ICONIP (1), 2022)

Deformably-Scaled Transposed Convolution. - Stefano B. Blumberg; Daniele Ravì; Mou-Cheng Xu; Matteo Figini; Iasonas Kokkinos; Daniel C. Alexander (CoRR, 2022)

StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN. - Eric-Tuan Le; Edward Bartrum; Iasonas Kokkinos (ICLR, 2023)

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 (CVPR, 2024)