Ngan Le

About

Ngan Le is a prominent researcher at the intersection of computer vision, robotics, and deep learning, with particular expertise in neuromorphic computing, reinforcement learning, and language-driven robotic perception. Her highly cited 2022 review on Spiking Neural Networks (567 citations) stands as a landmark contribution to the field, comprehensively surveying energy-efficient alternatives to conventional deep neural networks and helping establish the theoretical foundation for next-generation AI systems. Her comprehensive survey on deep reinforcement learning in computer vision (238 citations) further demonstrates her ability to synthesize complex, rapidly evolving research landscapes for the broader scientific community. More recently, Le has pioneered open-vocabulary approaches to robotic perception, developing innovative methods for affordance detection and 6-DoF grasp detection in 3D point clouds that integrate natural language understanding with spatial reasoning. Notably, her Open-Fusion framework advances real-time semantic 3D mapping, while her work on language-conditioned affordance-pose detection pushes the boundaries of robot manipulation intelligence. Collectively, her publications reflect a coherent research vision: making robots more adaptable, efficient, and capable of understanding human intent — a contribution increasingly vital as autonomous systems enter complex real-world environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Spiking Neural Networks and Their Applications: A Review

   567 citations · 2022
2. 2
   Deep reinforcement learning in computer vision: a comprehensive survey

   238 citations · 2021
3. 3
   Open-Vocabulary Affordance Detection in 3D Point Clouds

   27 citations · 2023
4. 4
   Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey

   23 citations · 2021
5. 5
   Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation

   22 citations · 2024
6. 6
   Language-Conditioned Affordance-Pose Detection in 3D Point Clouds

   18 citations · 2024
7. 7
   Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance

   9 citations · 2024
8. 8
   Lightweight Language-driven Grasp Detection using Conditional Consistency Model

   9 citations · 2024
9. 9
   Open-Vocabulary Affordance Detection using Knowledge Distillation and Text-Point Correlation

   7 citations · 2024
10. 10
    Language-driven Grasp Detection with Mask-guided Attention

    3 citations · 2024

Key Collaborators

Contact & Links