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Institution: Northwestern Polytechnical University

Results: 12

Session 2c: Blind Users and Collaborative Sensing

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Crowds and Collaboration

Human-AI Collaboration / Images in AI

Urban Spaces

Paper Title	Authors	Research Topics
	YL	Session 2c: Blind Users and Collaborative Sensing
	XL
	KZ
	HZ
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
	QW
	SL
	YW
	ZY
	LW	Crowds and Collaboration
	FY	Human-AI Collaboration / Images in AI
	QW	Urban Spaces
	YL

Papers

Wisdom of Crowds: A Human-Machine-Things Cooperative Scheduling Method for Heterogeneous Mobile Crowdsensing

EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control

Grip-Reach-Touch-Repeat: A Refined Model of Grasp to Encompass One-Handed Interaction with Arbitrary Form Factor Devices

Understanding the Mechanism of Through-Wall Wireless Sensing: A Model-based Perspective

Learn AI Coding at CodeNow

sUrban: Stable Prediction for Unseen Urban Data from Location-based Sensors

AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices

Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications

VPRNet: Voxel-based Efficient and Partial-to-Partial Point Cloud Registration on Mobile Devices

Task Execution Quality Maximization for Mobile Crowdsourcing in Geo-Social Networks

Human-Machine Cooperative Video Anomaly Detection

CrowdNavi: Last-mile Outdoor Navigation for Pedestrians Using Mobile Crowdsensing

To Cross or Not to Cross: Urgency-Based External Warning Displays on Autonomous Vehicles to Improve Pedestrian Crossing Safety

Wisdom of Crowds: A Human-Machine-Things Cooperative Scheduling Method for Heterogeneous Mobile Crowdsensing

EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control

Grip-Reach-Touch-Repeat: A Refined Model of Grasp to Encompass One-Handed Interaction with Arbitrary Form Factor Devices

Understanding the Mechanism of Through-Wall Wireless Sensing: A Model-based Perspective

Learn AI Coding at CodeNow

sUrban: Stable Prediction for Unseen Urban Data from Location-based Sensors

AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices

Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications

VPRNet: Voxel-based Efficient and Partial-to-Partial Point Cloud Registration on Mobile Devices

Task Execution Quality Maximization for Mobile Crowdsourcing in Geo-Social Networks

Human-Machine Cooperative Video Anomaly Detection

CrowdNavi: Last-mile Outdoor Navigation for Pedestrians Using Mobile Crowdsensing

To Cross or Not to Cross: Urgency-Based External Warning Displays on Autonomous Vehicles to Improve Pedestrian Crossing Safety

Papers

Wisdom of Crowds: A Human-Machine-Things Cooperative Scheduling Method for Heterogeneous Mobile Crowdsensing

EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control

Grip-Reach-Touch-Repeat: A Refined Model of Grasp to Encompass One-Handed Interaction with Arbitrary Form Factor Devices

Understanding the Mechanism of Through-Wall Wireless Sensing: A Model-based Perspective

Learn AI Coding at CodeNow

sUrban: Stable Prediction for Unseen Urban Data from Location-based Sensors

AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices

Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications

VPRNet: Voxel-based Efficient and Partial-to-Partial Point Cloud Registration on Mobile Devices

Task Execution Quality Maximization for Mobile Crowdsourcing in Geo-Social Networks

Human-Machine Cooperative Video Anomaly Detection

CrowdNavi: Last-mile Outdoor Navigation for Pedestrians Using Mobile Crowdsensing

To Cross or Not to Cross: Urgency-Based External Warning Displays on Autonomous Vehicles to Improve Pedestrian Crossing Safety

Wisdom of Crowds: A Human-Machine-Things Cooperative Scheduling Method for Heterogeneous Mobile Crowdsensing

EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control

Grip-Reach-Touch-Repeat: A Refined Model of Grasp to Encompass One-Handed Interaction with Arbitrary Form Factor Devices

Understanding the Mechanism of Through-Wall Wireless Sensing: A Model-based Perspective

Learn AI Coding at CodeNow

sUrban: Stable Prediction for Unseen Urban Data from Location-based Sensors

AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices

Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications

VPRNet: Voxel-based Efficient and Partial-to-Partial Point Cloud Registration on Mobile Devices

Task Execution Quality Maximization for Mobile Crowdsourcing in Geo-Social Networks

Human-Machine Cooperative Video Anomaly Detection

CrowdNavi: Last-mile Outdoor Navigation for Pedestrians Using Mobile Crowdsensing

To Cross or Not to Cross: Urgency-Based External Warning Displays on Autonomous Vehicles to Improve Pedestrian Crossing Safety