Zijia Lu
Scholar

Zijia Lu

Google Scholar ID: xEGL7NsAAAAJ
PhD in Computer Science, Northeastern University
video action segmentationweakly-supervised learningunsupervised learning
Citations & Impact
All-time
Citations
181
 
H-index
7
 
i10-index
7
 
Publications
12
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Multiple papers accepted to CVPR, including 'DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos' (CVPR 2025), 'FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Fully-Supervised Action Segmentation' (CVPR 2024), and 'Self-Supervised Multi-Object Tracking with Path Consistency' (CVPR 2024).
Research Experience
  • Internships at Amazon AWS AI Lab and Microsoft Research during Ph.D. studies; previously worked as a Student Researcher at Chinese Academic of Sciences and an Architecture Summer Intern at NVIDIA.
Education
  • Ph.D. in Computer Science, Northeastern University; Dual B.S. in Computer Science and Economics, NYU Shanghai (2019), awarded with NYU University Honors Scholar and Undergraduate Scholarship of University of Chinese Academy of Sciences.
Background
  • Research Interests: Video Understanding Methods, particularly data-efficient video-text matching, enhanced computational efficiency, accurate long temporal modeling, and procedural video understanding. Current research focuses on open-world video understanding and video data generation.
Miscellany
  • Actively seeking full-time research positions.