no code implementations • 7 Jul 2023 • Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye
By integrating prior knowledge and the proposed prompts, ChatGPT can effectively identify and label drug trafficking activities on social networks, even in the presence of deceptive language and euphemisms used by drug dealers to evade detection.
no code implementations • 4 May 2023 • Chuanbo Hu, Shan Jia, Fan Zhang, Changjiang Xiao, Mindi Ruan, Jacob Thrasher, Xin Li
Experimental results on the re-annotated Place Pulse 2. 0 dataset demonstrate promising detection performance of the proposed method, with an accuracy of 79. 9%.
no code implementations • 20 Apr 2023 • Mindi Ruan, Xiangxu Yu, Na Zhang, Chuanbo Hu, Shuo Wang, Xin Li
How can we teach a computer to recognize 10, 000 different actions?
1 code implementation • 14 May 2022 • Chuanbo Hu, Shan Jia, Fan Zhang, Xin Li
However, due to the large diversity of geographic context and acquisition conditions, the captured SVI always contains various distracting objects (e. g., pedestrians and vehicles), which will distract human visual attention from efficiently finding the destination in the last few meters.
no code implementations • 19 Aug 2021 • Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
Accordingly, accurate detection of illicit drug trafficking events (IDTEs) from social media has become even more challenging.
no code implementations • 18 Aug 2021 • Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
Unlike existing methods that focus on posting-based detection, we propose to tackle the problem of illicit drug dealer identification by constructing a large-scale multimodal dataset named Identifying Drug Dealers on Instagram (IDDIG).
no code implementations • 26 Aug 2020 • Shan Jia, Shuo Wang, Chuanbo Hu, Paula Webster, Xin Li
Facial expressions of emotion play an important role in human social interactions.
no code implementations • 12 May 2020 • Shan Jia, Xin Li, Chuanbo Hu, Guodong Guo, Zhengquan Xu
We have witnessed rapid advances in both face presentation attack models and presentation attack detection (PAD) in recent years.
no code implementations • 12 Oct 2019 • Shan Jia, Xin Li, Chuanbo Hu, Zhengquan Xu
In this work, we introduce a wax figure face database (WFFD) as a novel and super-realistic 3D face presentation attack.
no code implementations • 6 Jun 2019 • Shan Jia, Chuanbo Hu, Guodong Guo, Zhengquan Xu
Compared to 2D face presentation attacks (e. g. printed photos and video replays), 3D type attacks are more challenging to face recognition systems (FRS) by presenting 3D characteristics or materials similar to real faces.