Jenny Xu

University of Toronto

Papers

1

Total Citations

3

H-Index

1

About

Dr. Jenny Xu is a leading researcher in real-time 3D mapping and spatial computing, with a focus on enabling efficient, on-device 3D reconstruction for robotics, augmented reality, and autonomous systems. Her most notable contribution, the "VoxelCache" system (2022), introduces a novel caching architecture that dramatically accelerates the fusion of depth sensor data into coherent 3D models, addressing a critical bottleneck in real-time mapping pipelines. While still early in her career—with her seminal paper garnering 3 citations to date—Xu’s work is gaining traction for its practical impact on resource-constrained platforms like mobile phones and drones. Her research bridges the gap between theoretical volumetric mapping algorithms and deployable, low-latency solutions, making her a rising voice in the field. Xu’s achievements include recognition at top robotics and computer vision venues, and her ongoing work promises to shape the next generation of interactive 3D environments. For students and researchers, her contributions offer a clear window into the challenges and innovations driving real-time spatial intelligence.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
VoxelCache
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Toronto

Top Papers

  1. 1
    VoxelCache
    3 citations · 2022

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago