167 citations · 230 across the 9 of their papers we have counts for
9 papers
Husformer: A Multi-Modal Transformer for Multi-Modal Human State Recognition
Ruiqi Wang, Wonse Jo, Dezhong Zhao +4
Human state recognition is a critical topic with pervasive and important applications in human-machine systems. Multi-modal fusion, the combination of metrics from multiple data so…
Flexible Principal Component Analysis for Exponential Family Distributions
Tonglin Zhang, Baijian Yang, Qianqian Song +1
Traditional principal component analysis (PCA) is well known in high-dimensional data analysis, but it requires to express data by a matrix with observations to be continuous. To o…
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregation
Dongfang Liu, Yiming Cui, Liqi Yan +3
In this work, we introduce a Denser Feature Network (DenserNet) for visual localization. Our work provides three principal contributions. First, we develop a convolutional neural n…
Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze
Dongfang Liu, Yiming Cui, Xiaolei Guo +3
Accurate localization is a foundational capacity, required for autonomous vehicles to accomplish other tasks such as navigation or path planning. It is a common practice for vehicl…
PENet: Object Detection using Points Estimation in Aerial Images
Ziyang Tang, Xiang Liu, Guangyu Shen +1
Aerial imagery has been increasingly adopted in mission-critical tasks, such as traffic surveillance, smart cities, and disaster assistance. However, identifying objects from aeria…
Multiple Learning for Regression in big data
Xiang Liu, Ziyang Tang, Huyunting Huang +2
Regression problems that have closed-form solutions are well understood and can be easily implemented when the dataset is small enough to be all loaded into the RAM. Challenges ari…