◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Domen Tabernik

11 papers hereh-index 101.8k citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author4

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.RO2
  • astro-ph.IM1
same name
  • Domen Tabernik — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedSegmentation-Based Deep-Learning Approach for Surface-Defect Detection

869 citations · 1.3k across the 9 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.CV2019

Deep Learning for Large-Scale Traffic-Sign Detection and Recognition

Domen Tabernik, Danijel Skočaj

Automatic detection and recognition of traffic signs plays a crucial role in management of the traffic-sign inventory. It provides accurate and timely way to manage traffic-sign in…

cs.CV2019★ 869 cited

Segmentation-Based Deep-Learning Approach for Surface-Defect Detection

Domen Tabernik, Samo Šela, Jure Skvarč +1

Automated surface-anomaly detection using machine learning has become an interesting and promising area of research, with a very high and direct impact on the application domain of…

cs.CV2019★ 17 cited

Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks

Domen Tabernik, Matej Kristan, Aleš Leonardis

Convolutional neural networks excel in a number of computer vision tasks. One of their most crucial architectural elements is the effective receptive field size, that has to be man…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.