Search Results for author:
Found 12 papers, 3 papers with code
Soar: Design and Deployment of A Smart Roadside Infrastructure System for Autonomous Driving
To explore the potential of infrastructure-assisted autonomous driving, this paper presents the design and deployment of Soar, the first end-to-end SRI system specifically designed to support autonomous driving systems.
Improving the Robustness of Large Language Models via Consistency Alignment
The training process is accomplished by self-rewards inferred from the trained model at the first stage without referring to external human preference resources.
VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization
This paper presents VisLingInstruct, a novel approach to advancing Multi-Modal Language Models (MMLMs) in zero-shot learning.
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge
We implement EdgeFM using two FMs on two edge platforms.
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
In this paper, we propose a novel self-detection method to detect which questions that a LLM does not know that are prone to generate nonfactual results.
ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease
ADMarker features a novel three-stage multi-modal federated learning architecture that can accurately detect digital biomarkers in a privacy-preserving manner.
Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems
Surround Radar/Lidar can provide 360-degree view sampling with the minimal cost, which are promising sensing hardware solutions for autonomous driving systems.
Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU
Many applications such as autonomous driving and augmented reality, require the concurrent running of multiple deep neural networks (DNN) that poses different levels of real-time performance requirements.
Interpersonal Distance Tracking with mmWave Radar and IMUs
This paper presents ImmTrack, a system that uses a millimeter wave radar and exploits the inertial measurement data from user-carried smartphones or wearables to track interpersonal distances.
Unleash the Potential of Image Branch for Cross-modal 3D Object Detection
To achieve reliable and precise scene understanding, autonomous vehicles typically incorporate multiple sensing modalities to capitalize on their complementary attributes.
Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization
Achieving efficient execution of machine learning models has attracted significant attention recently.
Video Salient Object Detection via Adaptive Local-Global Refinement
Despite their simplicity, such fusion strategies may introduce feature redundancy, and also fail to fully exploit the relationship between multi-level features extracted from both spatial and temporal domains.
