Allen Tu
Scholar

Allen Tu

Google Scholar ID: sqPGyG4AAAAJ
PhD Student, University of Maryland
machine learningcomputer visiongraphics
Citations & Impact
All-time
Citations
42
 
H-index
2
 
i10-index
2
 
Publications
5
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published in top machine learning conferences, contributing methods in compression and explainability that enable large-scale recognition and 3D reconstruction in real-world settings; notable works include SpeeDe3DGS, SplatSuRe, and TransFIRA.
Research Experience
  • Computer Vision Research Intern at Systems & Technology Research (STR), focusing on multimodal biometric recognition; Peer Research Mentor in the Capital One Machine Learning FIRE program at UMD, mentoring over 80 undergraduates in their first research experiences.
Education
  • Completed BS/MS in Computer Science at the University of Maryland (UMD) in 2024; currently a PhD student in Computer Science at UMD, advised by Professor Tom Goldstein.
Background
  • Research interests span deep learning, computer vision, and graphics, with a focus on 3D scene reconstruction, multimodal biometric recognition, and generative priors for robust vision systems. Aims to develop machine learning systems that are both efficient and trustworthy, advancing AI for real-world applications.
Miscellany
  • Personal interests not mentioned
Co-authors
0 total
Co-authors: 0 (list not available)