Iasonas. Kokkinos
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Iasonas. Kokkinoscomputer-science Degrees
Computer Science
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Artificial Intelligence
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Computer Science
Iasonas. Kokkinos's Degrees
- Bachelors Computer Science National Technical University of Athens
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(Suggest an Edit or Addition)Iasonas. Kokkinos's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (2016) (12399)
- Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs (2014) (3967)
- Describing Textures in the Wild (2013) (1334)
- DensePose: Dense Human Pose Estimation in the Wild (2018) (976)
- Discriminative Learning of Deep Convolutional Feature Point Descriptors (2015) (688)
- Scale-invariant heat kernel signatures for non-rigid shape recognition (2010) (589)
- UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory (2016) (525)
- Deep Filter Banks for Texture Recognition, Description, and Segmentation (2015) (320)
- Discovering discriminative action parts from mid-level video representations (2012) (256)
- Pushing the Boundaries of Boundary Detection using Deep Learning (2015) (208)
- Dense Pose Transfer (2018) (183)
- Modeling local and global deformations in Deep Learning: Epitomic convolution, Multiple Instance Learning, and sliding window detection (2015) (180)
- DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild (2016) (179)
- Intrinsic shape context descriptors for deformable shapes (2012) (172)
- Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs (2016) (171)
- Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance (2018) (171)
- HoloPose: Holistic 3D Human Reconstruction In-The-Wild (2019) (170)
- Shape grammar parsing via Reinforcement Learning (2011) (150)
- Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild (2020) (132)
- Segmentation-Aware Convolutional Networks Using Local Attention Masks (2017) (121)
- Attentive Single-Tasking of Multiple Tasks (2019) (117)
- Sub-cortical brain structure segmentation using F-CNN'S (2016) (112)
- Understanding Objects in Detail with Fine-Grained Attributes (2014) (109)
- Learning Filterbanks from Raw Speech for Phone Recognition (2017) (101)
- Scale invariance without scale selection (2008) (100)
- Learning-Based Symmetry Detection in Natural Images (2012) (94)
- Nonlinear speech analysis using models for chaotic systems (2005) (86)
- MultiGrain: a unified image embedding for classes and instances (2019) (84)
- Texture Analysis and Segmentation Using Modulation Features, Generative Models, and Weighted Curve Evolution (2009) (84)
- Dense and Low-Rank Gaussian CRFs Using Deep Embeddings (2017) (77)
- Parsing Facades with Shape Grammars and Reinforcement Learning (2013) (70)
- Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound (2011) (69)
- SHREC 2010: robust large-scale shape retrieval benchmark (2010) (67)
- Fracking Deep Convolutional Image Descriptors (2014) (63)
- Dense Scale Invariant Descriptors for Images and Surfaces (2012) (61)
- Dense Segmentation-Aware Descriptors (2013) (57)
- Unsupervised Learning of Object Deformation Models (2007) (56)
- Deep Spatio-Temporal Random Fields for Efficient Video Segmentation (2018) (49)
- Synergy between Object Recognition and Image Segmentation Using the Expectation-Maximization Algorithm (2009) (48)
- Deformable Part Models with CNN Features (2014) (48)
- Inference and Learning with Hierarchical Shape Models (2011) (45)
- Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models (2006) (45)
- Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images (2018) (44)
- Deep Learning for Semantic Part Segmentation with High-Level Guidance (2015) (44)
- Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection (2014) (42)
- Face Normals "In-the-Wild" Using Fully Convolutional Networks (2017) (41)
- HOP: Hierarchical object parsing (2009) (41)
- Highly accurate boundary detection and grouping (2010) (40)
- Boundary Detection Using F-Measure-, Filter- and Feature- (F3) Boost (2010) (40)
- Some advances in nonlinear speech modeling using modulations, fractals, and chaos (2002) (35)
- Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion (2019) (35)
- Semantic Part Segmentation with Deep Learning (2015) (31)
- Segmentation-Aware Deformable Part Models (2014) (31)
- Nonlinear analysis of speech signals: generalized dimensions and lyapunov exponents (2003) (31)
- Bounding Part Scores for Rapid Detection with Deformable Part Models (2012) (29)
- Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues (2019) (27)
- SHREC'10 Track: Feature Detection and Description (2010) (26)
- Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models - eScholarship (2006) (25)
- Advances in Intelligent Mobility Assistance Robot Integrating Multimodal Sensory Processing (2014) (24)
- Going Deeper With Lean Point Networks (2019) (22)
- Shufflets: Shared Mid-level Parts for Fast Object Detection (2013) (20)
- Expert‐level automated malaria diagnosis on routine blood films with deep neural networks (2020) (19)
- Data Acquisition towards Defining a Multimodal Interaction Model for Human - Assistive Robot Communication (2014) (17)
- An expectation maximization approach to the synergy between image segmentation and object categorization (2005) (17)
- Computational analysis and learning for a biologically motivated model of boundary detection (2008) (17)
- Learning Dense Convolutional Embeddings for Semantic Segmentation (2015) (17)
- Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models (2014) (17)
- Accurate Human-Limb Segmentation in RGB-D Images for Intelligent Mobility Assistance Robots (2015) (15)
- Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation (2020) (15)
- SHREC'10 Track: Robust Shape Retrieval (2010) (13)
- Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision (2016) (13)
- Advances in texture analysis: energy dominant component & multiple hypothesis testing (2004) (13)
- Prior-Based Coregistration and Cosegmentation (2016) (12)
- Surpassing Humans in Boundary Detection using Deep Learning (2015) (12)
- To The Point: Correspondence-driven monocular 3D category reconstruction (2021) (12)
- Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation (2017) (12)
- Learning monocular 3D reconstruction of articulated categories from motion (2021) (12)
- 3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images (2011) (11)
- Discriminative learning of deformable contour models (2014) (10)
- Modulation-feature based textured image segmentation using curve evolution (2004) (10)
- DenseReg : Fully Convolutional Dense Shape Regression Inthe-Wild Rıza (2017) (10)
- Editorial- Deep Learning for Computer Vision (2017) (9)
- A Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks (2004) (8)
- Identification of C. elegans strains using a fully convolutional neural network on behavioural dynamics (2018) (8)
- Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks (2018) (8)
- Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration (2005) (7)
- Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation (2013) (6)
- Robot–Robot Gesturing for Anchoring Representations (2019) (6)
- CreativeAI: deep learning for graphics (2018) (5)
- BLSM: A Bone-Level Skinned Model of the Human Mesh (2020) (5)
- Towards bridging the Gap between Biological and Computational Image Segmentation (2007) (5)
- Rapid Deformable Object Detection using Bounding-based Techniques (2012) (5)
- Holistic Multi-View Building Analysis in the Wild with Projection Pooling (2020) (5)
- Going Deeper with Point Networks (2019) (5)
- Towards a Detailed Understanding of Objects and Scenes in Natural Images (2012) (4)
- Mass Displacement Networks (2017) (4)
- Scale-invariance in local heat kernel descriptors without scale selection and normalization (2009) (4)
- Monocular Surface Reconstruction Using 3D Deformable Part Models (2016) (3)
- Inference and learning with hierarchical compositional models (2009) (3)
- ÜberNet: a ‘Universal’ CNN for the Joint Treatment of Low-, Mid-, and High-Level Vision Problems (2016) (3)
- A Detection-Theoretic Approach to Texture and Edge Discrimination (2005) (3)
- Shufflets: Shared Mid-level Parts for Fast Multi-Category Detection (2013) (2)
- Surface Based Object Detection in RGBD Images (2015) (2)
- Deep Learning Enhanced Extended Depth-of-Field for Thick Blood-Film Malaria High-Throughput Microscopy (2019) (2)
- Beyond Deterministic Translation for Unsupervised Domain Adaptation (2022) (2)
- Accelerating Deformable Part Models with Branch-and-Bound (2016) (1)
- Deep, Dense, and Low-Rank Gaussian Conditional Random Fields (2016) (1)
- Deep Learning for Graphics (2018) (1)
- CreativeAI: Deep learning for graphics SIGGRAPH 2019 (2019) (1)
- Scale Invariance without Scale Selection - eScholarship (2008) (1)
- Deformably-Scaled Transposed Convolution (2022) (1)
- Deep Filter Banks for Texture Recognition, Description, and Segmentation (2016) (1)
- CreativeAI: deep learning for graphics (2019) (1)
- Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation (2021) (1)
- Learning and Optimization for Shape-based Representations (2013) (0)
- 3 D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images (2017) (0)
- Softmesh: Learning Probabilistic Mesh Connectivity via Image Supervision (2021) (0)
- Describing Textures in the Wild Mircea Cimpoi (2019) (0)
- Correlation Based Semantic Transfer with Application to Domain Adaptation (2022) (0)
- Shape Models Motivation : Analyze a hand radiograph (2013) (0)
- Learning and Optimization for Shape-based Representations. (Apprentissage et Optimization pour des Representations basées sur la Forme) (2013) (0)
- New Results - Biological and Computational Vision (2007) (0)
- Deep Convolutional Feature Point Descriptors (2015) (0)
- Segmentation-aware convolutional nets (2015) (0)
- Appreciation to IJCV Reviewers (2012) (0)
- Supplementary Material-Going Deeper with Lean Point Networks (2020) (0)
- Deep Learning for Computer Graphics and Geometry Processing (2019) (0)
- Shape Grammars and Procedural Modeling towards Large Scale 3 D Modeling and Reconstruction (2011) (0)
- Title Scale Invariance without Scale Selection Permalink (2008) (0)
- Dissemination - Scientific Community animation (2009) (0)
- Title HOP : Hierarchical Object Parsing Permalink (2009) (0)
- New Results - Model-free and Model-based Segmentation, Tracking (2008) (0)
- Unsupervised Learning of Object Deformation Models Supplemental Material (2007) (0)
- Synthesizing VERDICT maps from standard DWI data using GANs (2021) (0)
- Editorial introduction to the CVIU special issue on "Generative models in computer vision and medical imaging" (2015) (0)
- CreativeAI (2018) (0)
- Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images (2011) (0)
- PhD and Internship proposals in Ecole Centrale Paris-INRIA (2015) (0)
- Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images (2011) (0)
- HoloPose : Real Time Holistic 3 D Human Reconstruction InThe-Wild (2019) (0)
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