4 citations · 10 across the 7 of their papers we have counts for
9 papers
Learning to Help Emergency Vehicles Arrive Faster: A Cooperative Vehicle-Road Scheduling Approach
Lige Ding, Dong Zhao, Zhaofeng Wang +4
The ever-increasing heavy traffic congestion potentially impedes the accessibility of emergency vehicles (EVs), resulting in detrimental impacts on critical services and even safet…
SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New City
Yizong Wang, Dong Zhao, Yajie Ren +2
For a new city that is committed to promoting Electric Vehicles (EVs), it is significant to plan the public charging infrastructure where charging demands are high. However, it is…
A Real-time Action Representation with Temporal Encoding and Deep Compression
Kun Liu, Wu Liu, Huadong Ma +2
Deep neural networks have achieved remarkable success for video-based action recognition. However, most of existing approaches cannot be deployed in practice due to the high comput…
MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning
Peiye Liu, Bo Wu, Huadong Ma +1
Recent studies on automatic neural architectures search have demonstrated significant performance, competitive to or even better than hand-crafted neural architectures. However, mo…
Multi-Granularity Reasoning for Social Relation Recognition from Images
Meng Zhang, Xinchen Liu, Wu Liu +3
Discovering social relations in images can make machines better interpret the behavior of human beings. However, automatically recognizing social relations in images is a challengi…
PVSS: A Progressive Vehicle Search System for Video Surveillance Networks
Xinchen Liu, Wu Liu, Huadong Ma +1
This paper is focused on the task of searching for a specific vehicle that appeared in the surveillance networks. Existing methods usually assume the vehicle images are well croppe…