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09/15/2023
OccupancyDETR: Making Semantic Scene Completion as Straightforward as Object Detection
Visual-based 3D semantic occupancy perception (also known as 3D semantic...
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01/20/2022
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning
Travel Time Estimation (TTE) is indispensable in intelligent transportat...
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12/06/2021
STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting
Traffic forecasting plays an indispensable role in the intelligent trans...
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12/06/2021
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting
Traffic forecasting is important in intelligent transportation systems o...
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12/04/2021
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting
Traffic forecasting is a problem of intelligent transportation systems (...
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12/04/2021
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting
Traffic prediction has gradually attracted the attention of researchers ...
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06/12/2021
Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method
State estimation with sensors is essential for mobile robots. Due to sen...
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01/20/2021
Bridge the Vision Gap from Field to Command: A Deep Learning Network Enhancing Illumination and Details
With the goal of tuning up the brightness, low-light image enhancement e...
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04/11/2018
