◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Davide Scaramuzza

15 papers hereh-index 11589 citations20 works total

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

author position
  • middle author6
  • last author9

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.LG5
  • cs.RO2
  • cs.AR1
  • eess.IV1
same name
  • Davide Scaramuzza — 87 papers, h 117
  • Davide Scaramuzza — 45 papers, h 14
  • Davide Scaramuzza — 17 papers, h 6
  • Davide Scaramuzza — 3 papers
  • Davide Scaramuzza — 2 papers, h 1

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
20242026
most citedA roadmap for AI in robotics

21 citations · 23 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Low-Latency Event-Based Object Detection with Spatially-Sparse Linear Attention

Haiqing Hao, Zhipeng Sui, Rong Zou +4

Event cameras provide sequential visual data with spatial sparsity and high temporal resolution, making them attractive for low-latency object detection. Existing asynchronous even…

cs.CV2025

Hybrid Event Frame Sensors: Modeling, Calibration, and Simulation

Yunfan Lu, Nico Messikommer, Xiaogang Xu +5

Hybrid event-frame sensors integrate an Event Vision Sensor (EVS) and an Active Pixel Sensor (APS) within a single chip, combining the high dynamic range and low latency of the EVS…

cs.CV2025

Event Spectroscopy: Event-based Multispectral and Depth Sensing using Structured Light

Christian Geckeler, Niklas Neugebauer, Manasi Muglikar +2

Uncrewed aerial vehicles (UAVs) are increasingly deployed in forest environments for tasks such as environmental monitoring and search and rescue, which require safe navigation thr…

cs.CV2024

Reinforcement Learning Meets Visual Odometry

Nico Messikommer, Giovanni Cioffi, Mathias Gehrig +1

Visual Odometry (VO) is essential to downstream mobile robotics and augmented/virtual reality tasks. Despite recent advances, existing VO methods still rely on heuristic design cho…

◍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.