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08/12/2023
Fusion-GRU: A Deep Learning Model for Future Bounding Box Prediction of Traffic Agents in Risky Driving Videos
To ensure the safe and efficient navigation of autonomous vehicles and a...
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06/28/2023
CLANet: A Comprehensive Framework for Cross-Batch Cell Line Identification Using Brightfield Images
Cell line authentication plays a crucial role in the biomedical field, e...
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03/15/2023
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels
Image-to-image reconstruction problems with free or inexpensive metadata...
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11/26/2022
Smart City Drivers and Challenges in Urban-Mobility, Health-Care, and Interdependent Infrastructure Systems
At the turn of the 21st century, urban development has experienced a par...
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09/16/2022
Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels
We propose WS-DINO as a novel framework to use weak label information in...
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06/19/2022
Traffic-Twitter Transformer: A Nature Language Processing-joined Framework For Network-wide Traffic Forecasting
With accurate and timely traffic forecasting, the impacted traffic condi...
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02/04/2022
TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer
Car-following refers to a control process in which the following vehicle...
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12/09/2021
Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection
Accurate and efficient pedestrian detection is crucial for the intellige...
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08/02/2020
IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing
Our world is moving towards the goal of fully autonomous driving at a fa...
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07/18/2020
Deep Learning Based Brain Tumor Segmentation: A Survey
Brain tumor segmentation is a challenging problem in medical image analy...
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07/15/2020
CANet: Context Aware Network for 3D Brain Tumor Segmentation
Automated segmentation of brain tumors in 3D magnetic resonance imaging ...
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05/24/2020
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values
Short-term traffic forecasting based on deep learning methods, especiall...
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12/10/2019
Graph Markov Network for Traffic Forecasting with Missing Data
Traffic forecasting is a classical task for traffic management and it pl...
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11/01/2019
Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data
An accurate road surface friction prediction algorithm can enable intell...
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11/01/2019
Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data
Road surface friction significantly impacts traffic safety and mobility....
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11/01/2019
Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data
Transit ridership flow and origin-destination (O-D) information is essen...
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10/13/2019
Personalized Context-Aware Multi-Modal Transportation Recommendation
This study proposes to find the most appropriate transport modes with aw...
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03/15/2019
Phenotypic Profiling of High Throughput Imaging Screens with Generic Deep Convolutional Features
While deep learning has seen many recent applications to drug discovery,...
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03/05/2019
Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact
Traffic speed prediction is a critically important component of intellig...
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01/29/2019
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving
A model used for velocity control during car following was proposed base...
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01/03/2019
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning
This study proposes a framework for human-like autonomous car-following ...
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10/24/2018
Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism
Multistep traffic forecasting on road networks is a crucial task in succ...
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02/20/2018
High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
Traffic forecasting is a challenging task, due to the complicated spatia...
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01/07/2018
