33 citations · 72 across the 8 of their papers we have counts for
10 papers
Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
Pengfei Zhang, Cuiling Lan, Wenjun Zeng +3
Skeleton data is of low dimension. However, there is a trend of using very deep and complicated feedforward neural networks to model the skeleton sequence without considering the c…
DCDLearn: Multi-order Deep Cross-distance Learning for Vehicle Re-Identification
Rixing Zhu, Jianwu Fang, Hongke Xu +2
Vehicle re-identification (Re-ID) has become a popular research topic owing to its practicability in intelligent transportation systems. Vehicle Re-ID suffers the numerous challeng…
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks
Pengfei Zhang, Jianru Xue, Cuiling Lan +3
Recurrent neural networks (RNNs) are capable of modeling temporal dependencies of complex sequential data. In general, current available structures of RNNs tend to concentrate on c…
DADA-2000: Can Driving Accident be Predicted by Driver Attention? Analyzed by A Benchmark
Jianwu Fang, Dingxin Yan, Jiahuan Qiao +3
Driver attention prediction is currently becoming the focus in safe driving research community, such as the DR(eye)VE project and newly emerged Berkeley DeepDrive Attention (BDD-A)…
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
Pengfei Zhang, Cuiling Lan, Wenjun Zeng +3
Skeleton-based human action recognition has attracted great interest thanks to the easy accessibility of the human skeleton data. Recently, there is a trend of using very deep feed…
BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving
Jianru Xue, Jianwu Fang, Tao Li +4
In autonomous driving community, numerous benchmarks have been established to assist the tasks of 3D/2D object detection, stereo vision, semantic/instance segmentation. However, th…