3 papers
cs.CV2026
XiYOLO: Energy-Aware Object Detection via Iterative Architecture Search and Scaling
Tony Tran, Richie R. Suganda, Bin Hu
Object detection on heterogeneous edge devices must satisfy strict energy, latency, and memory constraints while still providing reliable perception for downstream autonomy. Existi…
cs.CV2026
ELASTIC: Efficient Once For All Iterative Search for Object Detection on Microcontrollers
Tony Tran, Qin Lin, Bin Hu
Deploying high-performance object detectors on TinyML platforms poses significant challenges due to tight hardware constraints and the modular complexity of modern detection pipeli…
cs.CV2025
TrashDet: Iterative Neural Architecture Search for Efficient Waste Detection
Tony Tran, Bin Hu
This paper addresses trash detection on the TACO dataset under strict TinyML constraints using an iterative hardware-aware neural architecture search framework targeting edge and I…