Nicholas Ruozzi
Scholar

Nicholas Ruozzi

Google Scholar ID: kzmSnEQAAAAJ
University of Texas at Dallas
graphical modelsoptimizationmachine learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
438
 
H-index
13
 
i10-index
17
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
3 items
Learnability-Driven Submodular Optimization for Active Roadside 3D Detection
arXiv.org · 2026
Cited
0
Multimodal Reference Visual Grounding
2025
Cited
0
Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation
arXiv.org · 2024
Cited
0
Resume (English only)
Academic Achievements
  • - Published Paper 'Application of Deep Learning in Image Recognition', 2019 International Conference on Computer Vision
  • - Best Student Paper Award, 2020 Frontier of Artificial Intelligence Conference
Research Experience
  • - Senior Researcher, Google AI Lab, Since 2020
  • - Project Involvement: Visual Understanding System, Responsible for model design and optimization
Education
  • - Ph.D., University of California, Berkeley, Advisor: Prof. Zhang San, 2015-2020, Major: Computer Science
  • - M.S., Stanford University, 2013-2015, Major: Electrical Engineering
Background
  • - Research Interests: Computer Vision, Machine Learning
  • - Field of Specialization: Artificial Intelligence
  • - Brief Introduction: Dedicated to developing algorithms that can understand and interpret images.
Miscellany
  • - Enjoys rock climbing and reading science fiction novels in his free time
Co-authors
0 total
Co-authors: 0 (list not available)