6 citations · 13 across the 7 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2022★ 4 cited
Test-time Batch Normalization
Tao Yang, Shenglong Zhou, Yuwang Wang +2
Deep neural networks often suffer the data distribution shift between training and testing, and the batch statistics are observed to reflect the shift. In this paper, targeting of…
cs.LG2021★ 1 cited
Towards Building A Group-based Unsupervised Representation Disentanglement Framework
Tao Yang, Xuanchi Ren, Yuwang Wang +2
Disentangled representation learning is one of the major goals of deep learning, and is a key step for achieving explainable and generalizable models. A well-defined theoretical gu…
cs.LG2020
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…