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Journal of Traffic and Transportation Engineering (English ed. Online), 2021 Short-term taxi demand forecasting is of great importance to incentivize vacant cars moving from over-supply regions to over-demand regions, which can minimize the wait time for passengers and drivers. With the consideration of spatiotemporal dependences,
Huimin Luo +4 more
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Automatic Ultrasound Vessel Segmentation with Deep Spatiotemporal Context Learning [PDF]
, 2021 Accurate, real-time segmentation of vessel structures in ultrasound image sequences can aid in the measurement of lumen diameters and assessment of vascular diseases. This, however, remains a challenging task, particularly for extremely small vessels that are difficult to visualize.
Jiang, Baichuan +3 more
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Partial Convolutional LSTM for Spatiotemporal Prediction of Incomplete Data
IEEE Access, 2020 Advanced data analysis techniques facilitate data-driven spatiotemporal prediction in various fields. However, in real-world data, missing values are inevitable, which causes the data incomplete and makes predictions more challenging.
Hyesook Son, Yun Jang
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SA-JSTN: Self-Attention Joint Spatiotemporal Network for Temperature Forecasting
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The rapid development of remote sensing technology has brought abundant data support for deep learning based temperature forecasting research. However, recently proposed methods usually focus on the temporal relationship among temperature observation ...
Lukui Shi +4 more
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MSF-NET: Foreground Objects Detection With Fusion of Motion and Semantic Features
IEEE Access, 2023 Visual surveillance requires robust detection of foreground objects under challenging environments of abrupt lighting variation, stationary foreground objects, dynamic background objects, and severe weather conditions.
Jae-Yeul Kim, Jong-Eun Ha
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WIFI LOG-BASED STUDENT BEHAVIOR ANALYSIS AND VISUALIZATION SYSTEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Student behavior research can improve learning efficiency, provide decision evidences for infrastructure management. Existing campus-scale behavioral analysis work have not taken into account the students characteristics and spatiotemporal pattern ...
F. Chen, C. Jing, H. Zhang, X. Lv
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Spatiotemporal Costmap Inference for MPC Via Deep Inverse Reinforcement Learning [PDF]
IEEE Robotics and Automation Letters, 2022 It can be difficult to autonomously produce driver behavior so that it appears natural to other traffic participants. Through Inverse Reinforcement Learning (IRL), we can automate this process by learning the underlying reward function from human demonstrations.
Keuntaek Lee +3 more
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Geocarto International, 2023 Unaddressed imbalance of multitemporal land cover (LC) data reduces deep learning (DL) model usefulness to forecast changes. To manage geospatial data imbalance, there is a lack of specialized cost-sensitive learning strategies available.
Alysha van Duynhoven +1 more
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Multivariate Time Series Deep Spatiotemporal Forecasting with Graph Neural Network
Applied Sciences, 2022 Multivariate time series forecasting has long been a subject of great concern. For example, there are many valuable applications in forecasting electricity consumption, solar power generation, traffic congestion, finance, and so on.
Zichao He, Chunna Zhao, Yaqun Huang
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Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning [PDF]
, 2018 Accepted for publication at ECCV ...
Büchler, Uta +2 more
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