Search Results for author:
Found 10 papers, 2 papers with code
Constellation Dataset: Benchmarking High-Altitude Object Detection for an Urban Intersection
The dataset addresses the need for curated data to explore problems in small object detection exemplified by the limited pixel footprint of pedestrians observed tens of meters from above.
Autonomy 2.0: The Quest for Economies of Scale
With the advancement of robotics and AI technologies in the past decade, we have now entered the age of autonomous machines.
Multi-Modality Multi-Scale Cardiovascular Disease Subtypes Classification Using Raman Image and Medical History
Second, a probability matrix and a weight matrix are used to enhance the classification capacity by combining the RS and medical history data in the multi-modality data fusion module.
Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides
In this paper, we propose a Data and Knowledge Co-driving (D&K) model to replicate the process of cancer subtype classification on a histopathological slide like a pathologist.
Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators
As Deep Neural Networks (DNNs) are increasingly deployed in safety critical and privacy sensitive applications such as autonomous driving and biometric authentication, it is critical to understand the fault-tolerance nature of DNNs.
Dataflow Accelerator Architecture for Autonomous Machine Computing
Commercial autonomous machines is a thriving sector, one that is likely the next ubiquitous computing platform, after Personal Computers (PC), cloud computing, and mobile computing.
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform
Stereo matching is a critical task for robot navigation and autonomous vehicles, providing the depth estimation of surroundings.
An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform
In our past few years' of commercial deployment experiences, we identify localization as a critical task in autonomous machine applications, and a great acceleration target.
A Survey of FPGA-Based Robotic Computing
On the other hand, FPGA-based robotic accelerators are becoming increasingly competitive alternatives, especially in latency-critical and power-limited scenarios.
Learning to Generate Structured Queries from Natural Language with Indirect Supervision
Generating structured query language (SQL) from natural language is an emerging research topic.
