Researcher Kurt Keutzer

Researcher Biography
http://www.eecs.berkeley.edu/Faculty/Homepages/keutzer.html

Current Projects

Unified Neural Architecture Search Framework for Computer Vision
Using High-Level Structure and Context for Object Recognition
Training Data Augmentation for Autonomous Driving
Efficient Model for Large-Scale Point Cloud Perception
Systematic Study of Neural Network Robustness Against Adversarial Attacks
An Innovative Approach to the Dual Problems of High-Resolution Input and Video Object Detection
Automated Search for Neural Net Architectures
Efficient Neural Networks through Systematic Quantization

Past Projects

Enabling Valuable Training Data through Domain Adaptation
Embedded natural language processing for in-car speech commands
Real-time, Energy Efficient Video Object Detection and Tracking
Domain Adaptation for Realistic LiDAR Data Synthesis
Efficient Neural Nets for Real-Time object-recognition on High-Resolution Images
Safe and Effective Learning through Formal Simulation
Energy-Efficient Deep Neural Nets for Occupancy-Grid Mapping
Design Space Exploration for Deep Neural Nets for Advanced Driver Assistance Systems