E. Kalogerakis

发表

Learning 3D mesh segmentation and labeling

Aaron Hertzmann, E. Kalogerakis, Karan Singh, 2010, ACM Trans. Graph..

Learning 3D mesh segmentation and labeling

Aaron Hertzmann, E. Kalogerakis, Karan Singh, 2010, SIGGRAPH 2010.

Extracting lines of curvature from noisy point clouds

Derek Nowrouzezahrai, Evangelos Kalogerakis, Karan Singh, 2009, Comput. Aided Des..

SHREC ’ 17 Track Large-Scale 3 D Shape Retrieval from ShapeNet Core 55

Hao Su, E. Learned-Miller, D. Cohen-Or, 2016 .

Image sequence geolocation with human travel priors

Alexei A. Efros, Aaron Hertzmann, Evangelos Kalogerakis, 2009, 2009 IEEE 12th International Conference on Computer Vision.

A probabilistic model for component-based shape synthesis

Siddhartha Chaudhuri, Vladlen Koltun, Evangelos Kalogerakis, 2012, ACM Trans. Graph..

Multi-view Convolutional Neural Networks for 3D Shape Recognition

Subhransu Maji, Hang Su, Evangelos Kalogerakis, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Title High Resolution Shape Completion Using Deep Neural Networksfor Global Structure and Local Geometry Inference

Zhen Li, Yizhou Yu, Xiaoguang Han, 2017 .

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

Subhransu Maji, E. Kalogerakis, Rui Wang, 2017, 2017 International Conference on 3D Vision (3DV).

Visemenet

Subhransu Maji, E. Kalogerakis, Karan Singh, 2018, ACM Transactions on Graphics.

APES: Articulated Part Extraction from Sprite Sheets –Supplementary Material–

E. Kalogerakis, L. Yi, Matthew Fisher, 2022 .

ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions

E. Kalogerakis, Taesung Park, Matthew Fisher, 2022, ACM Trans. Graph..

PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation

E. Learned-Miller, Subhransu Maji, Aruni RoyChowdhury, 2021, Comput. Graph. Forum.

3D visualization processes for recreating and studying organismal form

E. Kalogerakis, U. Siebert, G. Lauder, 2022, iScience.

Audio-driven Neural Gesture Reenactment with Video Motion Graphs

E. Kalogerakis, Jun Saito, Dingzeyu Li, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Morig: Motion-Aware Rigging of Character Meshes from Point Clouds

E. Kalogerakis, Zhan Xu, Yang Zhou, 2022, SIGGRAPH Asia.

Foreword to the Special Section on Shape Modeling International 2018

Evangelos Kalogerakis, Stefanie Hahmann, Abel Gomes, 2018, Comput. Graph..

Learning 3D mesh segmentation and labeling

Aaron Hertzmann, Evangelos Kalogerakis, Karan Singh, 2010, ACM Transactions on Graphics.

Elements of style

Alla Sheffer, Evangelos Kalogerakis, Zhaoliang Lun, 2015, ACM Trans. Graph..

RigNet

E. Kalogerakis, Karan Singh, Zhan Xu, 2020 .

RigNet

E. Kalogerakis, Karan Singh, Zhan Xu, 2020, ACM Trans. Graph..

Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets

Evangelos Kalogerakis, Zhan Xu, Karan Singh, 2019, 2019 International Conference on 3D Vision (3DV).

Data‐Driven Shape Analysis and Processing

Vladimir G. Kim, Kai Xu, Evangelos Kalogerakis, 2015, Comput. Graph. Forum.

Eurographics Symposium on Geometry Processing 2015 Analysis and Synthesis of 3d Shape Families via Deep-learned Generative Models of Surfaces

Evangelos Kalogerakis, Benjamin M. Marlin, Haibin Huang, 2022 .

Data-driven curvature for real-time line drawing of dynamic scenes

Derek Nowrouzezahrai, Aaron Hertzmann, Evangelos Kalogerakis, 2009, ACM Trans. Graph..

Folding meshes: hierarchical mesh segmentation based on planar symmetry

Evangelos Kalogerakis, Karan Singh, Patricio D. Simari, 2006, SGP '06.

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

Subhransu Maji, Rui Wang, Evangelos Kalogerakis, 2017, 2017 International Conference on 3D Vision (3DV).

CSGNet: Neural Shape Parser for Constructive Solid Geometry

Subhransu Maji, Evangelos Kalogerakis, Gopal Sharma, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

3D Shape Segmentation with Projective Convolutional Networks

Subhransu Maji, Siddhartha Chaudhuri, Evangelos Kalogerakis, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Direct shape optimization for strengthening 3D printable objects

Rui Wang, Evangelos Kalogerakis, Ian R. Grosse, 2016, Comput. Graph. Forum.

ANISE: Assembly-based Neural Implicit Surface rEconstruction

E. Kalogerakis, R. Mech, Matheus Gadelha, 2022, ArXiv.

ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds pdf

Subhransu Maji, Siddhartha Chaudhuri, Evangelos Kalogerakis, 2020, ECCV.

Robust statistical estimation of curvature on discretized surfaces

Derek Nowrouzezahrai, Evangelos Kalogerakis, Karan Singh, 2007, Symposium on Geometry Processing.

Functionality preserving shape style transfer

Alla Sheffer, Rui Wang, Evangelos Kalogerakis, 2016, ACM Trans. Graph..

Analogy‐driven 3D style transfer

Alla Sheffer, Rui Wang, Chongyang Ma, 2014, Comput. Graph. Forum.

SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation

Evangelos Kalogerakis, Yang Zhou, Zachary While, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Elements of Style: Learning Perceptual Shape Style Similarity

Alla Sheffer, Evangelos Kalogerakis, Zhaoliang Lun, 2015 .

MakeltTalk pdf

Yang Zhou, Eli Shechtman, Evangelos Kalogerakis, 2020, ACM Trans. Graph..

Visemenet

Subhransu Maji, Evangelos Kalogerakis, Yang Zhou, 2018, ACM Trans. Graph..

SPLATNet: Sparse Lattice Networks for Point Cloud Processing

Subhransu Maji, Jan Kautz, Varun Jampani, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks

Ersin Yumer, Vladimir G. Kim, Siddhartha Chaudhuri, 2017, ACM Trans. Graph..

BuildingNet: Learning to Label 3D Buildings pdf

Siddhartha Chaudhuri, Evangelos Kalogerakis, Melinos Averkiou, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Neural Contours: Learning to Draw Lines From 3D Shapes

Aaron Hertzmann, Evangelos Kalogerakis, Difan Liu, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Material-Aware Local Descriptors for 3D Shapes

Balazs Kovacs, Vladimir G. Kim, Siddhartha Chaudhuri, 2018, 2018 International Conference on 3D Vision (3DV).

Learning hatching for pen-and-ink illustration of surfaces

Derek Nowrouzezahrai, Simon Breslav, Aaron Hertzmann, 2012, TOGS.

Deep part induction from articulated object pairs

Leonidas J. Guibas, Li Yi, Evangelos Kalogerakis, 2018, ACM Trans. Graph..

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

Zhen Li, Yizhou Yu, Xiaoguang Han, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Neural Strokes: Stylized Line Drawing of 3D Shapes pdf

Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions

Subhransu Maji, Liangliang Cao, Evangelos Kalogerakis, 2020, ECCV.

Shape Synthesis from Sketches via Procedural Models and Convolutional Networks

Ersin Yumer, Radomír Mech, Evangelos Kalogerakis, 2017, IEEE Transactions on Visualization and Computer Graphics.

Neural Shape Parsers for Constructive Solid Geometry

Subhransu Maji, Evangelos Kalogerakis, Gopal Sharma, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Attribit: content creation with semantic attributes

Siddhartha Chaudhuri, Thomas A. Funkhouser, Evangelos Kalogerakis, 2013, UIST.

Probabilistic reasoning for assembly-based 3D modeling

Leonidas J. Guibas, Siddhartha Chaudhuri, Vladlen Koltun, 2011, ACM Trans. Graph..

Learning Part Boundaries from 3D Point Clouds

Evangelos Kalogerakis, Melinos Averkiou, Marios Loizou, 2020, Comput. Graph. Forum.

Coupling Ontologies with Graphics Content for Knowledge Driven Visualization

Stavros Christodoulakis, Evangelos Kalogerakis, Nektarios Moumoutzis, 2006, IEEE Virtual Reality Conference (VR 2006).

Learning to group discrete graphical patterns

Ping Tan, Hao Zhang, Marie-Paule Cani, 2017, ACM Trans. Graph..

A 3D digitisation workflow for architecture-specific annotation of built heritage

Gustavo Patow, Yiorgos Chrysanthou, Evangelos Kalogerakis, 2021, Journal of Archaeological Science: Reports.

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55 pdf

Wei Wu, Leonidas J. Guibas, Jitendra Malik, 2017, ArXiv.

RisQ: recognizing smoking gestures with inertial sensors on a wristband

Evangelos Kalogerakis, Meng-Chieh Chiu, Abhinav Parate, 2014, MobiSys.

APES: Articulated Part Extraction from Sprite Sheets

E. Kalogerakis, Matthew Fisher, Zhan Xu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation

S. Fidler, Subhransu Maji, E. Kalogerakis, 2022, ECCV.

Shadowing Dynamic Scenes with Arbitrary BRDFs

Derek Nowrouzezahrai, Eugene Fiume, Evangelos Kalogerakis, 2009, Comput. Graph. Forum.

Implicit Integration for Particle‐based Simulation of Elasto‐Plastic Solids

Rui Wang, Evangelos Kalogerakis, Zhaoliang Lun, 2013, Comput. Graph. Forum.

MakeItTalk: Speaker-Aware Talking Head Animation

E. Kalogerakis, Xintong Han, J. Echevarria, 2020, ArXiv.

Robust statistical estimation of curvature on discretized surfaces

E. Kalogerakis, Karan Singh, P. Simari, 2007 .

Learning hatching for pen-and-ink illustration of surfaces

Aaron Hertzmann, E. Kalogerakis, Simon Breslav, 2012, TOGS.

Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions

E. Learned-Miller, Subhransu Maji, Aruni RoyChowdhury, 2020, ECCV.

Data collection & preprocessing Feature extraction Learning Classification Regression Retrieval Segmentation Reconstruction Synthesis Processed or generated data with semantic information Clustering Inference ... ... Feature learning Belief propagation Bayesian inference Gibbs sampling

E. Kalogerakis, Qixing Huang, Kai Xu, 2016 .

VecFusion: Vector Font Generation with Diffusion

E. Kalogerakis, Difan Liu, Vikas Thamizharasan, 2023, ArXiv.

ANISE: Assembly-based Neural Implicit Surface rEconstruction

E. Kalogerakis, R. Mech, Matheus Gadelha, 2022, IEEE Transactions on Visualization and Computer Graphics.

Open3DIS: Open-vocabulary 3D Instance Segmentation with 2D Mask Guidance

E. Kalogerakis, T.D. Ngo, Khoi Nguyen, 2023, ArXiv.

Multi‐objective shape segmentation and labeling

Derek Nowrouzezahrai, Evangelos Kalogerakis, Karan Singh, 2009, Comput. Graph. Forum.

Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging

E. Learned-Miller, E. Kalogerakis, J. Priest, 2023, MICCAI.

GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis

E. Kalogerakis, S. Chaudhuri, Melinos Averkiou, 2024, SIGGRAPH.