Vladimir Yugay
Scholar

Vladimir Yugay

Google Scholar ID: sae4r88AAAAJ
Ph.D. student at the University of Amsterdam
Computer VisionDeep Learning3D ReconstructionSLAM
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Citations & Impact
All-time
Citations
330
 
H-index
5
 
i10-index
4
 
Publications
8
 
Co-authors
0
 
Contact
Emailvoviktyl@gmail.comTwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
8 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Publications:
  • * VoT: Visual Odometry with Transformers
  • * GaME: Gaussian Mapping for Evolving Scenes
  • * MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM
  • * FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training
  • * Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting
  • * Loopy-SLAM: Dense Neural SLAM with Loop Closures
  • * Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?
Research Experience
  • - Interned at Meta Reality Labs, Spatial AI team, working on modelling dynamic scenes with large 3D models with Diogo Luvizon
  • - Worked on multiple object tracking during master’s studies
  • - Part of Kaia Health, worked on 3D human body modelling to help people with chronic back pain
Education
  • - PhD: University of Amsterdam, Computer Vision Group, supervised by Martin R. Oswald and Theo Gevers
  • - Master's Degree: Technical University of Munich, Data Engineering and Analytics, part of the research group with Laura Leal-Taixé
Background
  • - Research Interests: 3D computer vision, particularly 3D mapping, tracking, and SLAM
  • - Goal: To create immersive 3D scenes from commodity hardware
Co-authors
0 total
Co-authors: 0 (list not available)