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20152026
most citedOn Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection

1 citations · 1 across the 8 of their papers we have counts for

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Showing 2025 · cs.CVShow all

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cs.CV2025

BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction

Ruochen Li, Stamos Katsigiannis, Tae-Kyun Kim +1

Trajectory prediction allows better decision-making in applications of autonomous vehicles or surveillance by predicting the short-term future movement of traffic agents. It is cla…

cs.CV2025

Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction

Ruochen Li, Tanqiu Qiao, Stamos Katsigiannis +2

Pedestrian trajectory prediction aims to forecast future movements based on historical paths. Spatial-temporal (ST) methods often separately model spatial interactions among pedest…