Temporal Convolutional Networks


Temporal convolutional networks (TCNs) are deep learning models that use 1D convolutions for sequence modeling tasks.

Exploring Temporal Dynamics in Event-based Eye Tracker

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Mar 31, 2025
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Video-based Traffic Light Recognition by Rockchip RV1126 for Autonomous Driving

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Mar 31, 2025
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Action Recognition in Real-World Ambient Assisted Living Environment

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Mar 29, 2025
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SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand Forecasting

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Mar 28, 2025
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A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting

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Mar 25, 2025
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SChanger: Change Detection from a Semantic Change and Spatial Consistency Perspective

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Mar 26, 2025
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Burst Image Super-Resolution with Mamba

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Mar 25, 2025
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Temporal-Spatial Attention Network (TSAN) for DoS Attack Detection in Network Traffic

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Mar 21, 2025
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GazeSCRNN: Event-based Near-eye Gaze Tracking using a Spiking Neural Network

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Mar 20, 2025
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Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation

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Mar 18, 2025
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