2 papers
cs.CV2026
CNN-based Multi-In-Multi-Out Model for Efficient Spatiotemporal Prediction
Hyeonseok Jin
Recently, Convolutional Neural Network (CNN) or Transformer architecture based models have been proposed to overcome the limitations of Recurrent Neural Network (RNN) based models…
cs.CV2025
Deformable Dynamic Convolution for Accurate yet Efficient Spatio-Temporal Traffic Prediction
Hyeonseok Jin, Geonmin Kim, Kyungbaek Kim
Traffic prediction is a critical component of intelligent transportation systems, enabling applications such as congestion mitigation and accident risk prediction. While recent res…