1 citations · 2 across the 5 of their papers we have counts for
5 papers
Post-Training Neural Network Pruning using Graph Curvature
Shuhang Tan, Jayson Sia, Paul Bogdan +1
This paper provides a fresh view of the neural network (NN) pruning problem through the lens of graph theory. To achieve effective pruning, we aim to identify the main NN data flow…
Analyzing Neural Network Robustness Using Graph Curvature
Shuhang Tan, Jayson Sia, Paul Bogdan +1
This paper presents a new look at the neural network (NN) robustness problem, from the point of view of graph theory analysis, specifically graph curvature. Graph curvature (e.g.,…
CMSG Cross-Media Semantic-Graph Feature Matching Algorithm for Autonomous Vehicle Relocalization
Shuhang Tan, Hengyu Liu, Zhiling Wang
Relocalization is the basis of map-based localization algorithms. Camera and LiDAR map-based methods are pervasive since their robustness under different scenarios. Generally, mapp…
RCP-RF: A Comprehensive Road-car-pedestrian Risk Management Framework based on Driving Risk Potential Field
Shuhang Tan, Zhiling Wang, Yan Zhong
Recent years have witnessed the proliferation of traffic accidents, which led wide researches on Automated Vehicle (AV) technologies to reduce vehicle accidents, especially on risk…
A New Adaptive Noise Covariance Matrices Estimation and Filtering Method: Application to Multi-Object Tracking
Chao Jiang, Zhiling Wang, Shuhang Tan +1
Kalman filters are widely used for object tracking, where process and measurement noise are usually considered accurately known and constant. However, the exact known and constant…