1 citations · 1 across the 5 of their papers we have counts for
5 papers
A Fast and Map-Free Model for Trajectory Prediction in Traffics
Junhong Xiang, Jingmin Zhang, Zhixiong Nan
To handle the two shortcomings of existing methods, (i)nearly all models rely on high-definition (HD) maps, yet the map information is not always available in real traffic scenes a…
FBLNet: FeedBack Loop Network for Driver Attention Prediction
Yilong Chen, Zhixiong Nan, Tao Xiang
The problem of predicting driver attention from the driving perspective is gaining increasing research focus due to its remarkable significance for autonomous driving and assisted…
X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering
Jingjing Jiang, Ziyi Liu, Yifan Liu +2
Encouraging progress has been made towards Visual Question Answering (VQA) in recent years, but it is still challenging to enable VQA models to adaptively generalize to out-of-dist…
A Driving Behavior Recognition Model with Bi-LSTM and Multi-Scale CNN
He Zhang, Zhixiong Nan, Tao Yang +2
In autonomous driving, perceiving the driving behaviors of surrounding agents is important for the ego-vehicle to make a reasonable decision. In this paper, we propose a neural net…
Traffic Agent Trajectory Prediction Using Social Convolution and Attention Mechanism
Tao Yang, Zhixiong Nan, He Zhang +2
The trajectory prediction is significant for the decision-making of autonomous driving vehicles. In this paper, we propose a model to predict the trajectories of target agents arou…