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Evangelos Kalogerakis

Evangelos Kalogerakis

D-Index & Metrics

Computer Science

D-Index
39
Citations
11308
World Ranking
9526
National Ranking
72

Overview

Evangelos Kalogerakis is a researcher affiliated with the Technical University of Crete in Greece. Their research contributions span multiple fields and subfields, with a strong focus on computer science and engineering.

The main fields of study associated with their work include:

  • Computer Science
  • Engineering

Within these fields, the notable subfields of study they contribute to are:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Geology
  • Computer Graphics and Computer-Aided Design
  • Control and Systems Engineering

Their research topics cover a range of areas, including:

  • 3D Shape Modeling and Analysis
  • 3D Surveying and Cultural Heritage
  • Computer Graphics and Visualization Techniques
  • Image Processing and 3D Reconstruction
  • Human Pose and Action Recognition
  • Human Motion and Animation
  • Advanced Vision and Imaging

Evangelos Kalogerakis has a body of recent publications that demonstrate their focus in computer graphics and related areas. Some of these publications include:

  • "MakeltTalk," 2020, ACM Transactions on Graphics
  • "RigNet," 2020, ACM Transactions on Graphics
  • "Learning Part Boundaries from 3D Point Clouds," 2020, Computer Graphics Forum
  • "3D visualization processes for recreating and studying organismal form," 2022, iScience
  • "A 3D digitisation workflow for architecture-specific annotation of built heritage," 2021, Journal of Archaeological Science Reports

The frequent co-authors who have collaborated with Evangelos Kalogerakis include:

  • Melinos Averkiou
  • Difan Liu
  • Marios Loizou
  • Subhransu Maji
  • Matheus Gadelha

Publication venues where their work appears regularly include:

  • arXiv (Cornell University)
  • Computer Graphics Forum
  • ACM Transactions on Graphics
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Lecture Notes in Computer Science

Best Publications

  • Multi-view Convolutional Neural Networks for 3D Shape Recognition

    Hang Su;Subhransu Maji;Evangelos Kalogerakis;Erik Learned-Miller

  • SPLATNet: Sparse Lattice Networks for Point Cloud Processing

    Hang Su;Varun Jampani;Deqing Sun;Subhransu Maji

  • Learning hatching for pen-and-ink illustration of surfaces

    Evangelos Kalogerakis;Derek Nowrouzezahrai;Simon Breslav;Aaron Hertzmann

  • Learning 3D mesh segmentation and labeling

    Evangelos Kalogerakis;Aaron Hertzmann;Karan Singh

  • A probabilistic model for component-based shape synthesis

    Evangelos Kalogerakis;Siddhartha Chaudhuri;Daphne Koller;Vladlen Koltun

  • 3D Shape Segmentation with Projective Convolutional Networks

    Evangelos Kalogerakis;Melinos Averkiou;Subhransu Maji;Siddhartha Chaudhuri

  • High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference

    Xiaoguang Han;Zhen Li;Haibin Huang;Evangelos Kalogerakis

  • RisQ: recognizing smoking gestures with inertial sensors on a wristband

    Abhinav Parate;Meng-Chieh Chiu;Chaniel Chadowitz;Deepak Ganesan

  • Probabilistic reasoning for assembly-based 3D modeling

    Siddhartha Chaudhuri;Evangelos Kalogerakis;Leonidas Guibas;Vladlen Koltun

  • MakeItTalk: Speaker-Aware Talking-Head Animation

    Yang Zhou;Xintong Han;Eli Shechtman;Jose Echevarria

  • Visemenet: audio-driven animator-centric speech animation

    Yang Zhou;Zhan Xu;Chris Landreth;Evangelos Kalogerakis

  • Image sequence geolocation with human travel priors

    Evangelos Kalogerakis;Olga Vesselova;James Hays;Alexei A. Efros

  • 3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks

    Zhaoliang Lun;Matheus Gadelha;Evangelos Kalogerakis;Subhransu Maji

  • Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks

    Haibin Huang;Evangelos Kalogerakis;Siddhartha Chaudhuri;Duygu Ceylan

  • Attribit: content creation with semantic attributes

    Siddhartha Chaudhuri;Evangelos Kalogerakis;Stephen Giguere;Thomas Funkhouser

  • CSGNet: Neural Shape Parser for Constructive Solid Geometry

    Gopal Sharma;Rishabh Goyal;Difan Liu;Evangelos Kalogerakis

  • Coupling Ontologies with Graphics Content for Knowledge Driven Visualization

    E. Kalogerakis;S. Christodoulakis;N. Moumoutzis

  • Folding meshes: hierarchical mesh segmentation based on planar symmetry

    Patricio Simari;Evangelos Kalogerakis;Karan Singh

  • Data-driven shape analysis and processing

    Kai Xu;Vladimir G. Kim;Qixing Huang;Niloy Mitra

  • RigNet: neural rigging for articulated characters

    Zhan Xu;Yang Zhou;Evangelos Kalogerakis;Chris Landreth

  • Elements of style: learning perceptual shape style similarity

    Zhaoliang Lun;Evangelos Kalogerakis;Alla Sheffer

Frequent Co-Authors

Subhransu Maji
Subhransu Maji University of Massachusetts Amherst
Karan Singh
Karan Singh University of Toronto
Derek Nowrouzezahrai
Derek Nowrouzezahrai McGill University
Aaron Hertzmann
Aaron Hertzmann Adobe Systems (United States)
Rui Wang
Rui Wang Zhejiang University
Vladimir G. Kim
Vladimir G. Kim Adobe Systems (United States)
Erik Learned-Miller
Erik Learned-Miller University of Massachusetts Amherst
Hao Su
Hao Su University of California, San Diego
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Eugene Fiume
Eugene Fiume Simon Fraser University

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