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Seeing Text in the Dark: Algorithm and Benchmark
Localizing text in low-light environments is challenging due to visual degradations.
Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction
We propose Attention-aware Social Graph Transformer Networks for multi-modal trajectory prediction.
Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition
Then the knowledge distillation method is applied to transfer the learned representation from the teacher model to a simpler DMFT student model, which consists of a lite version of the multi-modal spatial-temporal transformer module, to produce the results.
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion
Tremendous efforts have been put forth on predicting pedestrian trajectory with generative models to accommodate uncertainty and multi-modality in human behaviors.
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