7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Peng Zhang, Yawen Huang, Bingzhang Hu +5
Reinforcement Learning (RL)-based control system has received considerable attention in recent decades. However, in many real-world problems, such as Batch Process Control, the env…
cs.CV2022★ 1 cited
Absolute Zero-Shot Learning
Rui Gao, Fan Wan, Daniel Organisciak +6
Considering the increasing concerns about data copyright and privacy issues, we present a novel Absolute Zero-Shot Learning (AZSL) paradigm, i.e., training a classifier with zero r…
cs.CV2020★ 7 cited
SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting
Haoran Duan, Shidong Wang, Yu Guan
Automated crowd counting from images/videos has attracted more attention in recent years because of its wide application in smart cities. But modelling the dense crowd heads is cha…