1 code implementation • 6 Apr 2024 • Pengxiao Han, Changkun Ye, Jieming Zhou, Jing Zhang, Jie Hong, Xuesong Li
We propose a new approach, the Latent-based Diffusion Model for Long-tailed Recognition (LDMLR), as a feature augmentation method to tackle the issue.
no code implementations • 20 Sep 2021 • Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi
The core concept of GNNs is to find a representation by recursively aggregating the representations of a central node and those of its neighbors.
no code implementations • 7 Oct 2020 • Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi
Full attention, which generates an attention value per element of the input feature maps, has been successfully demonstrated to be beneficial in visual tasks.
no code implementations • 17 Jun 2020 • Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson
Deep neural networks need to make robust inference in the presence of occlusion, background clutter, pose and viewpoint variations -- to name a few -- when the task of person re-identification is considered.
no code implementations • 4 Jun 2018 • Fei Sun, Jingchao Li, Jieming Zhou
Starting from the global financial crisis to the more recent disruptions brought about by geopolitical tensions and public health crises, the volatility of risk in financial markets has increased significantly.