◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Feras Dayoub

60 papers hereh-index 305.9k citations122 works total

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

author position
  • first author1
  • middle author40
  • last author17

Across the 58 of 60 papers where every author was matched, so the position is known.

fields
  • cs.CV31
  • cs.RO27
  • cs.AI1
  • eess.SY1

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedPeduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information

124 citations · 321 across the 39 of their papers we have counts for

collaborators
Showing 2017Show all

3 papers · 1 filter

cs.CV2017★ 1 cited

Episode-Based Active Learning with Bayesian Neural Networks

Feras Dayoub, Niko Sünderhauf, Peter Corke

We investigate different strategies for active learning with Bayesian deep neural networks. We focus our analysis on scenarios where new, unlabeled data is obtained episodically, s…

cs.CV2017★ 2 cited

Towards Unsupervised Weed Scouting for Agricultural Robotics

David Hall, Feras Dayoub, Jason Kulk +1

Weed scouting is an important part of modern integrated weed management but can be time consuming and sparse when performed manually. Automated weed scouting and weed destruction h…

cs.RO2017★ 124 cited

Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information

Inkyu Sa, Chris Lehnert, Andrew English +4

This paper presents a 3D visual detection method for the challenging task of detecting peduncles of sweet peppers (Capsicum annuum) in the field. Cutting the peduncle cleanly is on…

◍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.