3 citations · 8 across the 9 of their papers we have counts for
3 papers · 1 filter
Adversarially Robust Video Perception by Seeing Motion
Lingyu Zhang, Chengzhi Mao, Junfeng Yang +1
Despite their excellent performance, state-of-the-art computer vision models often fail when they encounter adversarial examples. Video perception models tend to be more fragile un…
Robust Perception through Equivariance
Chengzhi Mao, Lingyu Zhang, Abhishek Joshi +3
Deep networks for computer vision are not reliable when they encounter adversarial examples. In this paper, we introduce a framework that uses the dense intrinsic constraints in na…
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
Hongjun Wang, Jiyuan Chen, Tong Pan +7
Spatial-temporal (ST) graph modeling, such as traffic speed forecasting and taxi demand prediction, is an important task in deep learning area. However, for the nodes in graph, the…