Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Self-Growing Spatial Graph Network for Context-Aware Pedestrian
  Trajectory Prediction   Pedestrian trajectory prediction is an active research area with recent works
undertaken to embed accurate models of pedestrians social interactions and
their contextual compliance into dynamic spatial graphs. However, existing
works rely on spatial assumptions about the scene and dynamics, which entails a
significant challenge to adapt the graph structure in unknown environments for
an online system. In addition, there is a lack of assessment approach for the
relational modeling impact on prediction performance. To fill this gap, we
propose Social Trajectory Recommender-Gated Graph Recurrent Neighborhood
Network, (STR-GGRNN), which uses data-driven adaptive online neighborhood
recommendation based on the contextual scene features and pedestrian visual
cues. The neighborhood recommendation is achieved by online Nonnegative Matrix
Factorization (NMF) to construct the graph adjacency matrices for predicting
the pedestrians' trajectories. Experiments based on widely-used datasets show
that our method outperforms the state-of-the-art. Our best performing model
achieves 12 cm ADE and $\sim$15 cm FDE on ETH-UCY dataset. The proposed method
takes only 0.49 seconds when sampling a total of 20K future trajectories per
frame.

32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph