◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Aditya V. Jonnalagadda

2 papers hereh-index 388 citations4 works total

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedSegNet: A Segmented Deep Learning based Convolutional Neural Network Approach for Drones Wildfire Detection

50 citations · 50 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024★ 50 cited

SegNet: A Segmented Deep Learning based Convolutional Neural Network Approach for Drones Wildfire Detection

Aditya V. Jonnalagadda, Hashim A. Hashim

This research addresses the pressing challenge of enhancing processing times and detection capabilities in Unmanned Aerial Vehicle (UAV)/drone imagery for global wildfire detection…

cs.CV2021

Robust Vision-Based Cheat Detection in Competitive Gaming

Aditya Jonnalagadda, Iuri Frosio, Seth Schneider +2

Game publishers and anti-cheat companies have been unsuccessful in blocking cheating in online gaming. We propose a novel, vision-based approach that captures the final state of th…

◍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.