Search Results for author:
Found 4 papers, 0 papers with code
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
In this work, we propose to separately model these two factors by implicitly deriving a flexible distribution that describes complex pedestrians' movements, whereas incorporating predictive uncertainty of individuals with explicit density functions over their future locations.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
