Robert Sablatnig

About Robert Sablatnig

Robert Sablatnig, With an exceptional h-index of 37 and a recent h-index of 20 (since 2020), a distinguished researcher at Technische Universität Wien, specializes in the field of Document Analysis, Deep Learning, Multispectral Image Analysis, 3D Vision, Computer Vision for Cultural Heritage.

His recent articles reflect a diverse array of research interests and contributions to the field:

ECSIC: Epipolar Cross Attention for Stereo Image Compression

SAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer Retrieval

Drawing the Line: Deep Segmentation for Extracting Art from Ancient Etruscan Mirrors

Enhancing Historical Image Retrieval with Compositional Cues

Unsupervised Writer Retrieval using NetRVLAD and Graph Similarity Reranking

Advances in Machine Learning for the Automated Analysis of Manuscripts

Impact of Learned Domain Specific Compression on Satellite Image Object Classification.

Artificial Intelligence applied to Written Heritage

Robert Sablatnig Information

University

Position

Prof. for Computer Vision

Citations(all)

4968

Citations(since 2020)

1928

Cited By

3720

hIndex(all)

37

hIndex(since 2020)

20

i10Index(all)

132

i10Index(since 2020)

48

Email

University Profile Page

Google Scholar

Robert Sablatnig Skills & Research Interests

Document Analysis

Deep Learning

Multispectral Image Analysis

3D Vision

Computer Vision for Cultural Heritage

Top articles of Robert Sablatnig

Title

Journal

Author(s)

Publication Date

ECSIC: Epipolar Cross Attention for Stereo Image Compression

Matthias Wödlinger

Jan Kotera

Manuel Keglevic

Jan Xu

Robert Sablatnig

2024

SAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer Retrieval

arXiv preprint arXiv:2404.17221

Marco Peer

Florian Kleber

Robert Sablatnig

2024/4/26

Drawing the Line: Deep Segmentation for Extracting Art from Ancient Etruscan Mirrors

arXiv preprint arXiv:2404.15903

Rafael Sterzinger

Simon Brenner

Robert Sablatnig

2024/4/24

Enhancing Historical Image Retrieval with Compositional Cues

arXiv preprint arXiv:2403.14287

Tingyu Lin

Robert Sablatnig

2024/3/21

Unsupervised Writer Retrieval using NetRVLAD and Graph Similarity Reranking

arXiv preprint arXiv:2305.05358

Marco Peer

Florian Kleber

Robert Sablatnig

2023/5/9

Advances in Machine Learning for the Automated Analysis of Manuscripts

Florian Kleber

Marco Peer

Robert Sablatnig

2023/11/3

Impact of Learned Domain Specific Compression on Satellite Image Object Classification.

Alexander Bayerl

Manuel Keglevic

Matthias Wödlinger

Robert Sablatnig

2023/2/22

Artificial Intelligence applied to Written Heritage

Robert Sablatnig

2023/11/3

Exploring Learning-Based Approaches for Bomb Crater Detection in Historical Aerial Images

Marvin Burges

Sebastian Zambanini

Robert Sablatnig

2023

Feature Mixing for Writer Retrieval and Identification on Papyri Fragments

Marco Peer

Robert Sablatnig

2023/8/25

Towards Writer Retrieval for Historical Datasets

Marco Peer

Florian Kleber

Robert Sablatnig

2023/8/19

Preserving Colour Fidelity in Photogrammetry—An Empirically Grounded Study and Workflow for Cultural Heritage Preservation

Heritage

Miguel Antonio Barbero-Álvarez

Simon Brenner

Robert Sablatnig

José Manuel Menéndez

2023/8/5

Writer retrieval using compact convolutional transformers and NetMVLAD

Marco Peer

Florian Kleber

Robert Sablatnig

2022/8/21

Writer identification and writer retrieval using vision transformer for forensic documents

Michael Koepf

Florian Kleber

Robert Sablatnig

2022/5/18

Color-Light Multi Cascade Network for Single Image Depth Prediction on One Perspective Artifact Images

Aufaclav Zatu Kusuma Frisky

Simon Brenner

Sebastian Zambanini

Robert Sablatnig

2022

Sasic: Stereo image compression with latent shifts and stereo attention

Matthias Wödlinger

Jan Kotera

Jan Xu

Robert Sablatnig

2022

Self-supervised vision transformers with data augmentation strategies using morphological operations for writer retrieval

Marco Peer

Florian Kleber

Robert Sablatnig

2022/11/25

Exploration of the Vienna City Library Poster Collection using Computer Vision Approaches

Florian Kleber

Adam Novozamsky

Robert Sablatnig

Michael Dittenbach

2022/11/16

Estimating Human Legibility in Historic Manuscript Images-A Baseline

Simon Brenner

Lukas Schügerl

Robert Sablatnig

2021

Registered Relief Depth (RRD) borobudur dataset for single-frame depth prediction on one-side artifacts

Data in Brief

Aufaclav Zatu Kusuma Frisky

Agus Harjoko

Lukman Awaludin

Andi Dharmawan

Nia Gella Augoestien

...

2021/4/1

See List of Professors in Robert Sablatnig University(Technische Universität Wien)