no code implementations • 10 May 2024 • Guanyu Hu, Eleni Papadopoulou, Dimitrios Kollias, Paraskevi Tzouveli, Jie Wei, Xinyu Yang
Automatic affect analysis, at the intersection of physiology, psychology, and machine learning, has seen significant development.
no code implementations • 26 Oct 2023 • Jie Wei, Weicong Feng, Erik Blasch, Erika Ardiles-Cruz, Haibin Ling
It is important to quantify Damage Assessment (DA) for Human Assistance and Disaster Response (HADR) applications.
1 code implementation • 13 Sep 2023 • Kalyan Garigapati, Erik Blasch, Jie Wei, Haibin Ling
However, with the existing fusion techniques, the addition of new features causes a change in the latent space making it impossible to incorporate transparency awareness on trackers with fixed latent spaces.
no code implementations • 10 May 2023 • Jie Wei, Yonghui Zhang
This paper studies the principal component (PC) method-based estimation of weak factor models with sparse loadings.
1 code implementation • 19 Mar 2023 • Srikar Yellapragada, Zhenghong Li, Kevin Bhadresh Doshi, Purva Makarand Mhasakar, Heng Fan, Jie Wei, Erik Blasch, Bin Zhang, Haibin Ling
In this paper, we present a meticulously crafted and annotated benchmark, called \textbf{CCTV-Gun}, which addresses the challenges of detecting handguns in real-world CCTV images.
no code implementations • 27 Oct 2021 • Jie Wei, Zhigang Zhu, Erik Blasch, Bilal Abdulrahman, Billy Davila, Shuoxin Liu, Jed Magracia, Ling Fang
During natural disasters, aircraft and satellites are used to survey the impacted regions.