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Computer Science

D-Index
48
Citations
38522
World Ranking
5992
National Ranking
362

Overview

Iasonas Kokkinos is a researcher affiliated with University College London in the United Kingdom. Their academic work spans multiple disciplines, with a primary focus on Computer Science, supplemented by significant contributions to Medicine and Engineering. The main subfields of study in their research portfolio include Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computational Mechanics, and Biomedical Engineering.

Their research covers a range of main topics, such as:

  • Advanced Neuroimaging Techniques and Applications
  • 3D Shape Modeling and Analysis
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications

Recent publications by Iasonas Kokkinos provide insight into their research interests and collaborative work. These include:

  • "Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results" (2020), published in NeuroImage
  • "I-Support: A robotic platform of an assistive bathing robot for the elderly population" (2020), published in Robotics and Autonomous Systems
  • "Expert-level automated malaria diagnosis on routine blood films with deep neural networks" (2020), published in American Journal of Hematology
  • "To The Point: Correspondence-driven monocular 3D category reconstruction" (2021), published in arXiv (Cornell University)
  • "Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation" (2020), published in Lecture notes in computer science

Frequently publishing venues demonstrate the scope and recurring platforms for their work, which prominently include:

  • arXiv (Cornell University), with 7 publications
  • Lecture notes in computer science, with 2 publications
  • NeuroImage
  • Robotics and Autonomous Systems
  • American Journal of Hematology

Their frequent co-authors, indicating close and ongoing collaborative relationships, include:

  • Eleni Chiou
  • Eleftheria Panagiotaki
  • Francesco Giganti
  • Shonit Punwani
  • Stefano B. Blumberg

Best Publications

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

    Liang-Chieh Chen;George Papandreou;Iasonas Kokkinos;Kevin Murphy

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

    Liang-Chieh Chen;George Papandreou;Iasonas Kokkinos;Kevin Murphy

  • Describing Textures in the Wild

    Mircea Cimpoi;Subhransu Maji;Iasonas Kokkinos;Sammy Mohamed

  • DensePose: Dense Human Pose Estimation in the Wild

    Riza Alp Guler;Natalia Neverova;Iasonas Kokkinos

  • Discriminative Learning of Deep Convolutional Feature Point Descriptors

    Edgar Simo-Serra;Eduard Trulls;Luis Ferraz;Iasonas Kokkinos

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

    Iasonas Kokkinos

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

    Michael M. Bronstein;Iasonas Kokkinos

  • Deep Filter Banks for Texture Recognition, Description, and Segmentation

    Mircea Cimpoi;Subhransu Maji;Iasonas Kokkinos;Andrea Vedaldi

  • Discovering discriminative action parts from mid-level video representations

    Michalis Raptis;Iasonas Kokkinos;Stefano Soatto

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

    Riza Alp Guler;Iasonas Kokkinos

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

    George Papandreou;Iasonas Kokkinos;Pierre-Andre Savalle

  • Dense Pose Transfer

    Natalia Neverova;Riza Alp Güler;Iasonas Kokkinos

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

    Siddhartha Chandra;Iasonas Kokkinos

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

    Riza Alp Guler;George Trigeorgis;Epameinondas Antonakos;Patrick Snape

  • Pushing the Boundaries of Boundary Detection using Deep Learning

    Iasonas Kokkinos

  • Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild

    Dominik Kulon;Riza Alp Guler;Iasonas Kokkinos;Michael M. Bronstein

  • Intrinsic shape context descriptors for deformable shapes

    Iasonas Kokkinos;Michael M. Bronstein;Roee Litman;Alex M. Bronstein

  • Shape grammar parsing via Reinforcement Learning

    Olivier Teboul;Iasonas Kokkinos;Loic Simon;Panagiotis Koutsourakis

  • Attentive Single-Tasking of Multiple Tasks

    Kevis-Kokitsi Maninis;Ilija Radosavovic;Iasonas Kokkinos

  • Segmentation-Aware Convolutional Networks Using Local Attention Masks

    Adam W. Harley;Konstantinos G. Derpanis;Iasonas Kokkinos

  • Deforming autoencoders: Unsupervised disentangling of shape and appearance

    Zhixin Shu;Mihir Sahasrabudhe;Rıza Alp Güler;Dimitris Samaras

Frequent Co-Authors

Petros Maragos
Petros Maragos National Technical University of Athens
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Andrea Vedaldi
Andrea Vedaldi University of Oxford
Nikos Paragios
Nikos Paragios CentraleSupélec
Michael M. Bronstein
Michael M. Bronstein University of Oxford
Niloy J. Mitra
Niloy J. Mitra University College London
Subhransu Maji
Subhransu Maji University of Massachusetts Amherst
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Stefanos Zafeiriou
Stefanos Zafeiriou Imperial College London
Samuel Kadoury
Samuel Kadoury Polytechnique Montréal

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