6 citations · 13 across the 7 of their papers we have counts for
7 papers
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
Tao Yang, Cuiling Lan, Yan Lu +1
Disentangled representation learning strives to extract the intrinsic factors within observed data. Factorizing these representations in an unsupervised manner is notably challengi…
Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization
Tao Yang, Yuwang Wang, Cuiling Lan +2
Recognizing elementary underlying concepts from observations (disentanglement) and generating novel combinations of these concepts (compositional generalization) are fundamental ab…
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…
Visual Concepts Tokenization
Tao Yang, Yuwang Wang, Yan Lu +1
Obtaining the human-like perception ability of abstracting visual concepts from concrete pixels has always been a fundamental and important target in machine learning research fiel…
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…
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…
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…