IntFormer: Predicting pedestrian intention with the aid of the Transformer architecture

18 May 2021

Papers citing "IntFormer: Predicting pedestrian intention with the aid of the Transformer architecture"

7 / 7 papers shown

Title
Enhancing Customer Service Chatbots with Context-Aware NLU through Selective Attention and Multi-task Learning Subhadip Nandi Neeraj Agrawal Anshika Singh Priyanka Bhatt 32 0 0 02 Jun 2025
Temporal-contextual Event Learning for Pedestrian Crossing Intent Prediction Hongbin Liang Hezhe Qiao Wei Huang Qizhou Wang Mingsheng Shang Lin Chen 65 0 0 04 Apr 2025
Can Reasons Help Improve Pedestrian Intent Estimation? A Cross-Modal Approach Vaishnavi Khindkar V. Balasubramanian Chetan Arora A. Subramanian C. V. Jawahar 116 0 0 20 Nov 2024
GTransPDM: A Graph-embedded Transformer with Positional Decoupling for Pedestrian Crossing Intention Prediction Chen Xie Ciyun Lin Xiaoyu Zheng Bowen Gong Dayong Wu ViT 127 0 0 30 Sep 2024
Gating Syn-to-Real Knowledge for Pedestrian Crossing Prediction in Safe Driving Jie Bai Jianwu Fang Yisheng Lv Chen Lv Jianru Xue Zhengguo Li 64 0 0 24 Aug 2024
Behavioral Intention Prediction in Driving Scenes: A Survey Jianwu Fang Fan Wang Jianru Xue Tat-Seng Chua 162 50 0 01 Nov 2022
Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors Joseph Gesnouin Steve Pechberti B. Stanciulescu Fabien Moutarde 63 12 0 29 Jan 2022