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2020 – today
- 2024
[c81]Eric-Tuan Le, Antonis Kakolyris, Petros Koutras, Himmy Tam, Efstratios Skordos, George Papandreou, Riza Alp Güler, Iasonas Kokkinos:
MeshPose: Unifying DensePose and 3D Body Mesh reconstruction. CVPR 2024: 2405-2414- [i37]Eric-Tuan Lê, Antonis Kakolyris, Petros Koutras, Himmy Tam, Efstratios Skordos, George Papandreou, Riza Alp Güler, Iasonas Kokkinos:
MeshPose: Unifying DensePose and 3D Body Mesh reconstruction. CoRR abs/2406.10180 (2024) - 2023
- [c80]Eric-Tuan Le, Edward Bartrum, Iasonas Kokkinos:
StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN. ICLR 2023 - 2022
- [c79]Eleni Chiou, Eleftheria Panagiotaki, Iasonas Kokkinos:
Beyond Deterministic Translation for Unsupervised Domain Adaptation. BMVC 2022: 501 - [c78]Florina-Cristina Calnegru
, John Shawe-Taylor, Iasonas Kokkinos, Razvan Pascanu:
Correlation Based Semantic Transfer with Application to Domain Adaptation. ICONIP (1) 2022: 588-599 - [i36]Eleni Chiou, Eleftheria Panagiotaki, Iasonas Kokkinos:
Beyond Deterministic Translation for Unsupervised Domain Adaptation. CoRR abs/2202.07778 (2022) - [i35]Stefano B. Blumberg, Daniele Ravì, Mou-Cheng Xu, Matteo Figini, Iasonas Kokkinos, Daniel C. Alexander:
Deformably-Scaled Transposed Convolution. CoRR abs/2210.09446 (2022) - 2021
- [c77]Eric-Tuan Lê, Niloy J. Mitra, Iasonas Kokkinos:
Softmesh: Learning Probabilistic Mesh Connectivity via Image Supervision. 3DV 2021: 1065-1074 - [c76]Zbigniew Wojna, Krzysztof Maziarz, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iasonas Kokkinos:
Holistic Multi-View Building Analysis in the Wild with Projection Pooling. AAAI 2021: 2870-2878 - [c75]Filippos Kokkinos, Iasonas Kokkinos:
Learning Monocular 3D Reconstruction of Articulated Categories From Motion. CVPR 2021: 1737-1746 - [c74]Eleni Chiou, Vanya V. Valindria, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Synthesizing VERDICT Maps from Standard DWI Data Using GANs. CDMRI@MICCAI 2021: 58-67 - [c73]Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Unsupervised Domain Adaptation with Semantic Consistency Across Heterogeneous Modalities for MRI Prostate Lesion Segmentation. DART/FAIR@MICCAI 2021: 90-100 - [c72]Filippos Kokkinos, Iasonas Kokkinos:
To The Point: Correspondence-driven monocular 3D category reconstruction. NeurIPS 2021: 7760-7772 - [i34]Filippos Kokkinos, Iasonas Kokkinos:
Learning monocular 3D reconstruction of articulated categories from motion. CoRR abs/2103.16352 (2021) - [i33]Filippos Kokkinos, Iasonas Kokkinos:
To The Point: Correspondence-driven monocular 3D category reconstruction. CoRR abs/2106.05662 (2021) - [i32]Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation. CoRR abs/2109.09736 (2021) - 2020
- [j12]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, Benoit Scherrer, Simon K. Warfield, Suheyla Cetin Karayumak, Yogesh Rathi, Simon Koppers, Leon Weninger, Chantal M. W. Tax:
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. NeuroImage 221: 117128 (2020) - [c71]Dominik Kulon, Riza Alp Güler, Iasonas Kokkinos, Michael M. Bronstein, Stefanos Zafeiriou:
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild. CVPR 2020: 4989-4999 - [c70]Eric-Tuan Le, Iasonas Kokkinos, Niloy J. Mitra:
Going Deeper With Lean Point Networks. CVPR 2020: 9500-9509 - [c69]Haoyang Wang, Riza Alp Güler, Iasonas Kokkinos, George Papandreou, Stefanos Zafeiriou:
BLSM: A Bone-Level Skinned Model of the Human Mesh. ECCV (5) 2020: 1-17 - [c68]Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation. MICCAI (1) 2020: 510-520 - [i31]Dominik Kulon, Riza Alp Güler, Iasonas Kokkinos, Michael M. Bronstein, Stefanos Zafeiriou:
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild. CoRR abs/2004.01946 (2020) - [i30]Zbigniew Wojna, Krzysztof Maziarz, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iasonas Kokkinos:
Holistic Multi-View Building Analysis in the Wild with Projection Pooling. CoRR abs/2008.10041 (2020) - [i29]Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation. CoRR abs/2010.07411 (2020)
2010 – 2019
- 2019
- [j11]Polychronis Kondaxakis, Khurram Gulzar, Stefan Kinauer, Iasonas Kokkinos, Ville Kyrki:
Robot-Robot Gesturing for Anchoring Representations. IEEE Trans. Robotics 35(1): 216-230 (2019) - [c67]Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos:
Attentive Single-Tasking of Multiple Tasks. CVPR 2019: 1851-1860 - [c66]Riza Alp Güler, Iasonas Kokkinos:
HoloPose: Holistic 3D Human Reconstruction In-The-Wild. CVPR 2019: 10884-10894 - [c65]Natalia Neverova, James Thewlis, Riza Alp Güler, Iasonas Kokkinos, Andrea Vedaldi:
Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues. CVPR 2019: 10915-10923 - [c64]Michael M. Bronstein, Leonidas J. Guibas, Iasonas Kokkinos, Or Litany, Niloy J. Mitra, Federico Monti, Emanuele Rodolà:
Deep Learning for Computer Graphics and Geometry Processing. Eurographics (Tutorials) 2019: 43 - [c63]Mihir Sahasrabudhe, Zhixin Shu, Edward Bartrum, Riza Alp Güler, Dimitris Samaras, Iasonas Kokkinos:
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion. ICCV Workshops 2019: 4054-4064 - [c62]Niloy J. Mitra, Iasonas Kokkinos, Paul Guerrero, Nils Thuerey, Vladimir G. Kim, Leonidas J. Guibas:
CreativeAI: deep learning for graphics. SIGGRAPH Courses 2019: 8:1-8:265 - [i28]Maxim Berman, Hervé Jégou, Andrea Vedaldi, Iasonas Kokkinos, Matthijs Douze:
MultiGrain: a unified image embedding for classes and instances. CoRR abs/1902.05509 (2019) - [i27]Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos:
Attentive Single-Tasking of Multiple Tasks. CoRR abs/1904.08918 (2019) - [i26]Mihir Sahasrabudhe, Zhixin Shu, Edward Bartrum, Riza Alp Güler, Dimitris Samaras, Iasonas Kokkinos:
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion. CoRR abs/1904.11960 (2019) - [i25]Natalia Neverova, James Thewlis, Riza Alp Güler, Iasonas Kokkinos, Andrea Vedaldi:
Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues. CoRR abs/1906.05706 (2019) - [i24]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, Delmiro Fernandez-Reyes:
Deep Learning Enhanced Extended Depth-of-Field for Thick Blood-Film Malaria High-Throughput Microscopy. CoRR abs/1906.07496 (2019) - [i23]Eric-Tuan Le, Iasonas Kokkinos, Niloy J. Mitra:
Going Deeper with Point Networks. CoRR abs/1907.00960 (2019) - 2018
- [j10]Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille:
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 834-848 (2018) - [c61]Natalia Neverova, Iasonas Kokkinos:
Mass Displacement Networks. BMVC 2018: 46 - [c60]Riza Alp Güler, Natalia Neverova, Iasonas Kokkinos:
DensePose: Dense Human Pose Estimation in the Wild. CVPR 2018: 7297-7306 - [c59]Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos:
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. CVPR 2018: 8915-8924 - [c58]Natalia Neverova, Riza Alp Güler, Iasonas Kokkinos:
Dense Pose Transfer. ECCV (3) 2018: 128-143 - [c57]Avelino Javer, André E. X. Brown, Iasonas Kokkinos, Jens Rittscher:
Identification of C. elegans Strains Using a Fully Convolutional Neural Network on Behavioural Dynamics. ECCV Workshops (6) 2018: 455-464 - [c56]Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos:
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. ECCV (10) 2018: 664-680 - [c55]Niloy J. Mitra, Tobias Ritschel, Iasonas Kokkinos, Paul Guerrero, Vladimir G. Kim, Konstantinos Rematas, Ersin Yumer:
Deep Learning for Graphics. Eurographics (Tutorials) 2018: 13-15 - [c54]Neil Zeghidour, Nicolas Usunier, Iasonas Kokkinos, Thomas Schatz, Gabriel Synnaeve, Emmanuel Dupoux:
Learning Filterbanks from Raw Speech for Phone Recognition. ICASSP 2018: 5509-5513 - [c53]Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander:
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images. MICCAI (1) 2018: 118-125 - [c52]Eleni Chiou, Francesco Giganti, Elisenda Bonet-Carne, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks. MLMI@MICCAI 2018: 319-327 - [i22]Riza Alp Güler, Natalia Neverova, Iasonas Kokkinos:
DensePose: Dense Human Pose Estimation In The Wild. CoRR abs/1802.00434 (2018) - [i21]Riza Alp Güler, Yuxiang Zhou, George Trigeorgis, Epameinondas Antonakos, Patrick Snape, Stefanos Zafeiriou, Iasonas Kokkinos:
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild. CoRR abs/1803.02188 (2018) - [i20]Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos:
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. CoRR abs/1806.06503 (2018) - [i19]Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos:
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. CoRR abs/1807.03148 (2018) - [i18]Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander:
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images. CoRR abs/1808.05577 (2018) - [i17]Natalia Neverova, Riza Alp Güler, Iasonas Kokkinos:
Dense Pose Transfer. CoRR abs/1809.01995 (2018) - 2017
- [j9]Ross B. Girshick, Iasonas Kokkinos, Ivan Laptev, Jitendra Malik, George Papandreou, Andrea Vedaldi, Xiaogang Wang, Shuicheng Yan, Alan L. Yuille:
Editorial- Deep Learning for Computer Vision. Comput. Vis. Image Underst. 164: 1-2 (2017) - [c51]George Trigeorgis, Patrick Snape, Iasonas Kokkinos, Stefanos Zafeiriou:
Face Normals "In-the-Wild" Using Fully Convolutional Networks. CVPR 2017: 340-349 - [c50]Riza Alp Güler, George Trigeorgis, Epameinondas Antonakos, Patrick Snape, Stefanos Zafeiriou, Iasonas Kokkinos:
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild. CVPR 2017: 2614-2623 - [c49]Iasonas Kokkinos:
UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory. CVPR 2017: 5454-5463 - [c48]Stefan Kinauer, Riza Alp Güler, Siddhartha Chandra, Iasonas Kokkinos:
Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation. EMMCVPR 2017: 34-48 - [c47]Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos:
Segmentation-Aware Convolutional Networks Using Local Attention Masks. ICCV 2017: 5048-5057 - [c46]Siddhartha Chandra, Nicolas Usunier, Iasonas Kokkinos:
Dense and Low-Rank Gaussian CRFs Using Deep Embeddings. ICCV 2017: 5113-5122 - [i16]Natalia Neverova, Iasonas Kokkinos:
Mass Displacement Networks. CoRR abs/1708.03816 (2017) - [i15]Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos:
Segmentation-Aware Convolutional Networks Using Local Attention Masks. CoRR abs/1708.04607 (2017) - [i14]Neil Zeghidour, Nicolas Usunier, Iasonas Kokkinos, Thomas Schatz, Gabriel Synnaeve, Emmanuel Dupoux:
Learning Filterbanks from Raw Speech for Phone Recognition. CoRR abs/1711.01161 (2017) - 2016
- [j8]Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Andrea Vedaldi:
Deep Filter Banks for Texture Recognition, Description, and Segmentation. Int. J. Comput. Vis. 118(1): 65-94 (2016) - [c45]Stefan Kinauer, Maxim Berman, Iasonas Kokkinos:
Monocular Surface Reconstruction Using 3D Deformable Part Models. ECCV Workshops (3) 2016: 296-308 - [c44]Siddhartha Chandra, Iasonas Kokkinos:
Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs. ECCV (7) 2016: 402-418 - [c43]Riza Alp Güler, Nikolaos Kardaris, Siddhartha Chandra, Vassilis Pitsikalis, Christian Werner, Klaus Hauer, Costas S. Tzafestas, Petros Maragos, Iasonas Kokkinos:
Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision. ECCV Workshops (2) 2016: 415-431 - [c42]Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippé, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos:
Sub-cortical brain structure segmentation using F-CNN'S. ISBI 2016: 269-272 - [c41]Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios:
Prior-Based Coregistration and Cosegmentation. MICCAI (2) 2016: 529-537 - [c40]Iasonas Kokkinos:
Surpassing Humans in Boundary Detection using Deep Learning. ICLR (Poster) 2016 - [p1]Iasonas Kokkinos:
Accelerating Deformable Part Models with Branch-and-Bound. Perspectives in Shape Analysis 2016: 249-271 - [i13]Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippé, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos:
Sub-cortical brain structure segmentation using F-CNN's. CoRR abs/1602.02130 (2016) - [i12]Siddhartha Chandra, Iasonas Kokkinos:
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs. CoRR abs/1603.08358 (2016) - [i11]Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille:
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. CoRR abs/1606.00915 (2016) - [i10]Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios:
Prior-based Coregistration and Cosegmentation. CoRR abs/1607.06787 (2016) - [i9]Iasonas Kokkinos:
UberNet: Training a 'Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory. CoRR abs/1609.02132 (2016) - [i8]Siddhartha Chandra, Iasonas Kokkinos:
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields. CoRR abs/1611.09051 (2016) - [i7]Riza Alp Güler, George Trigeorgis, Epameinondas Antonakos, Patrick Snape, Stefanos Zafeiriou, Iasonas Kokkinos:
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild. CoRR abs/1612.01202 (2016) - 2015
- [j7]Adrian Barbu, Iasonas Kokkinos:
Editorial introduction to the CVIU special issue on "Generative models in computer vision and medical imaging". Comput. Vis. Image Underst. 136: 1-2 (2015) - [c39]Siddhartha Chandra, Grigorios G. Chrysos, Iasonas Kokkinos:
Surface Based Object Detection in RGBD Images. BMVC 2015: 187.1-187.13 - [c38]George Papandreou, Iasonas Kokkinos, Pierre-André Savalle:
Modeling local and global deformations in Deep Learning: Epitomic convolution, Multiple Instance Learning, and sliding window detection. CVPR 2015: 390-399 - [c37]Edgar Simo-Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Pascal Fua, Francesc Moreno-Noguer:
Discriminative Learning of Deep Convolutional Feature Point Descriptors. ICCV 2015: 118-126 - [c36]Siddhartha Chandra, Stavros Tsogkas, Iasonas Kokkinos:
Accurate Human-Limb Segmentation in RGB-D Images for Intelligent Mobility Assistance Robots. ICCV Workshops 2015: 436-442 - [c35]Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille:
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. ICLR (Poster) 2015 - [i6]Stavros Tsogkas, Iasonas Kokkinos, George Papandreou, Andrea Vedaldi:
Semantic Part Segmentation with Deep Learning. CoRR abs/1505.02438 (2015) - [i5]Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Andrea Vedaldi:
Deep filter banks for texture recognition, description, and segmentation. CoRR abs/1507.02620 (2015) - [i4]Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos:
Learning Dense Convolutional Embeddings for Semantic Segmentation. CoRR abs/1511.04377 (2015) - 2014
- [c34]Eduard Trulls, Stavros Tsogkas, Iasonas Kokkinos, Alberto Sanfeliu, Francesc Moreno-Noguer:
Segmentation-Aware Deformable Part Models. CVPR 2014: 168-175 - [c33]Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Sammy Mohamed, Andrea Vedaldi:
Describing Textures in the Wild. CVPR 2014: 3606-3613 - [c32]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, Naomi Saphra, Sammy Mohamed:
Understanding Objects in Detail with Fine-Grained Attributes. CVPR 2014: 3622-3629 - [c31]Haithem Boussaid, Iasonas Kokkinos:
Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models. CVPR 2014: 4058-4065 - [c30]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, Bartlomiej Stanczyk:
Data Acquisition towards Defining a Multimodal Interaction Model for Human - Assistive Robot Communication. HCI (6) 2014: 613-624 - [c29]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:
Advances in Intelligent Mobility Assistance Robot Integrating Multimodal Sensory Processing. HCI (6) 2014: 692-703 - [c28]Haithem Boussaid, Iasonas Kokkinos, Nikos Paragios:
Discriminative learning of deformable contour models. ISBI 2014: 624-628 - [i3]George Papandreou, Iasonas Kokkinos, Pierre-André Savalle:
Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection. CoRR abs/1412.0296 (2014) - [i2]Edgar Simo-Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Francesc Moreno-Noguer:
Fracking Deep Convolutional Image Descriptors. CoRR abs/1412.6537 (2014) - 2013
- [b1]Iasonas Kokkinos:
Learning and Optimization for Shape-based Representations. (Apprentissage et Optimization pour des Representations basées sur la Forme). University of Paris-Est, France, 2013 - [j6]Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios:
Parsing Facades with Shape Grammars and Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1744-1756 (2013) - [c27]Eduard Trulls, Iasonas Kokkinos, Alberto Sanfeliu, Francesc Moreno-Noguer:
Dense Segmentation-Aware Descriptors. CVPR 2013: 2890-2897 - [c26]Haithem Boussaid, Iasonas Kokkinos, Nikos Paragios:
Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation. EMMCVPR 2013: 1-11 - [c25]Iasonas Kokkinos:
Shufflets: Shared Mid-level Parts for Fast Object Detection. ICCV 2013: 1393-1400 - [i1]Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Sammy Mohamed, Andrea Vedaldi:
Describing Textures in the Wild. CoRR abs/1311.3618 (2013) - 2012
- [c24]Iasonas Kokkinos, Michael M. Bronstein, Roee Litman, Alexander M. Bronstein:
Intrinsic shape context descriptors for deformable shapes. CVPR 2012: 159-166 - [c23]Michalis Raptis, Iasonas Kokkinos, Stefano Soatto:
Discovering discriminative action parts from mid-level video representations. CVPR 2012: 1242-1249 - [c22]Iasonas Kokkinos:
Bounding Part Scores for Rapid Detection with Deformable Part Models. ECCV Workshops (3) 2012: 41-50 - [c21]Stavros Tsogkas, Iasonas Kokkinos:
Learning-Based Symmetry Detection in Natural Images. ECCV (7) 2012: 41-54 - 2011
- [j5]Iasonas Kokkinos, Alan L. Yuille:
Inference and Learning with Hierarchical Shape Models. Int. J. Comput. Vis. 93(2): 201-225 (2011) - [c20]Haithem Boussaid, Samuel Kadoury, Iasonas Kokkinos, Jean-Yves Lazennec, Guoyan Zheng, Nikos Paragios:
3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images. BMVC 2011: 1-10 - [c19]Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios:
Shape grammar parsing via Reinforcement Learning. CVPR 2011: 2273-2280 - [c18]Iasonas Kokkinos:
Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound. NIPS 2011: 2681-2689 - 2010
- [c17]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, Michela Spagnuolo, Roberto Toldo:
SHREC'10 Track: Robust Shape Retrieval. 3DOR@Eurographics 2010: 71-78 - [c16]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, Ivan Sipiran, Michela Spagnuolo, Jian Sun:
SHREC'10 Track: Feature Detection and Description. 3DOR@Eurographics 2010: 79-86 - [c15]Michael M. Bronstein, Iasonas Kokkinos:
Scale-invariant heat kernel signatures for non-rigid shape recognition. CVPR 2010: 1704-1711 - [c14]Iasonas Kokkinos:
Highly accurate boundary detection and grouping. CVPR 2010: 2520-2527 - [c13]Iasonas Kokkinos:
Boundary Detection Using F-Measure-, Filter- and Feature- (F3) Boost. ECCV (2) 2010: 650-663
2000 – 2009
- 2009
- [j4]Iasonas Kokkinos, Georgios Evangelopoulos, Petros Maragos:
Texture Analysis and Segmentation Using Modulation Features, Generative Models, and Weighted Curve Evolution. IEEE Trans. Pattern Anal. Mach. Intell. 31(1): 142-157 (2009) - [j3]Iasonas Kokkinos, Petros Maragos:
Synergy between Object Recognition and Image Segmentation Using the Expectation-Maximization Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 31(8): 1486-1501 (2009) - [c12]Iasonas Kokkinos, Alan L. Yuille:
Inference and learning with hierarchical compositional models. CVPR Workshops 2009: 6 - [c11]Iasonas Kokkinos, Alan L. Yuille:
HOP: Hierarchical object parsing. CVPR 2009: 802-809 - 2008
- [j2]Iasonas Kokkinos, Rachid Deriche, Olivier D. Faugeras, Petros Maragos:
Computational analysis and learning for a biologically motivated model of boundary detection. Neurocomputing 71(10-12): 1798-1812 (2008) - [c10]Iasonas Kokkinos, Alan L. Yuille:
Scale invariance without scale selection. CVPR 2008 - 2007
- [c9]Iasonas Kokkinos, Alan L. Yuille:
Unsupervised Learning of Object Deformation Models. ICCV 2007: 1-8 - 2006
- [c8]Iasonas Kokkinos, Petros Maragos, Alan L. Yuille:
Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models. CVPR (2) 2006: 1893-1900 - 2005
- [j1]Iasonas Kokkinos, Petros Maragos:
Nonlinear speech analysis using models for chaotic systems. IEEE Trans. Speech Audio Process. 13(6): 1098-1109 (2005) - [c7]Iasonas Kokkinos, Petros Maragos:
An Expectation Maximization Approach to the Synergy between Image Segmentation and Object Categorization. ICCV 2005: 617-624 - [c6]Georgios Evangelopoulos, Iasonas Kokkinos, Petros Maragos:
Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration. VLSM 2005: 121-136 - 2004
- [c5]Iasonas Kokkinos, Rachid Deriche, Petros Maragos, Olivier D. Faugeras:
A Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks. ECCV (2) 2004: 506-517 - [c4]Iasonas Kokkinos, Georgios Evangelopoulos, Petros Maragos:
Modulation-feature based textured image segmentation using curve evolution. ICIP 2004: 1201-1204 - [c3]Iasonas Kokkinos, Georgios Evangelopoulos, Petros Maragos:
Advances in texture analysis-energy dominant component & multiple hypothesis testing. ICIP 2004: 1509-1512 - 2003
- [c2]Vassilis Pitsikalis, Iasonas Kokkinos, Petros Maragos:
Nonlinear analysis of speech signals: generalized dimensions and lyapunov exponents. INTERSPEECH 2003: 817-820 - 2002
- [c1]Petros Maragos, Alexandros G. Dimakis, Iasonas Kokkinos:
Some advances in nonlinear speech modeling using modulations, fractals, and chaos. DSP 2002: 325-332
Coauthor Index
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