32 citations · 109 across the 14 of their papers we have counts for
26 papers
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization
Ziquan Liu, Antoni B. Chan
The adversarial vulnerability of deep neural networks (DNNs) has been actively investigated in the past several years. This paper investigates the scale-variant property of cross-e…
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation
Ziquan Liu, Yi Xu, Yuanhong Xu +5
The performance of machine learning models under distribution shift has been the focus of the community in recent years. Most of current methods have been proposed to improve the r…
Cross-View Cross-Scene Multi-View Crowd Counting
Qi Zhang, Wei Lin, Antoni B. Chan
Multi-view crowd counting has been previously proposed to utilize multi-cameras to extend the field-of-view of a single camera, capturing more people in the scene, and improve coun…
On Distinctive Image Captioning via Comparing and Reweighting
Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1
Recent image captioning models are achieving impressive results based on popular metrics, i.e., BLEU, CIDEr, and SPICE. However, focusing on the most popular metrics that only cons…
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning
Zhirui Dai, Yuepeng Jiang, Yi Li +3
Social distancing, an essential public health measure to limit the spread of contagious diseases, has gained significant attention since the outbreak of the COVID-19 pandemic. In t…
Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes
Xueying Zhan, Qing Li, Antoni B. Chan
Active learning aims to achieve greater accuracy with less training data by selecting the most useful data samples from which it learns. Single-criterion based methods (i.e., infor…