Projects

Enabling real-world fall detection with synthesized fall motions from physics simulations

Overcoming small size limitation of real-world activity recognition datasets with synthetically generated data

Multi-DNN inference framework for heterogeneous mobile processors with subgraph-level scheduling

On-device high-throughput video analytics on mobile devices with compressive packed inference

Memory-efficient multi-DNN inference on tiny AI accelerators with weight memory virtualization