17 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Learning Sequence Representations by Non-local Recurrent Neural Memory
Wenjie Pei, Xin Feng, Canmiao Fu +3
The key challenge of sequence representation learning is to capture the long-range temporal dependencies. Typical methods for supervised sequence representation learning are built…
cs.CV2019★ 2 cited
Non-local Recurrent Neural Memory for Supervised Sequence Modeling
Canmiao Fu, Wenjie Pei, Qiong Cao +4
Typical methods for supervised sequence modeling are built upon the recurrent neural networks to capture temporal dependencies. One potential limitation of these methods is that th…
cs.CV2018★ 17 cited
Extend the shallow part of Single Shot MultiBox Detector via Convolutional Neural Network
Liwen Zheng, Canmiao Fu, Yong Zhao
Single Shot MultiBox Detector (SSD) is one of the fastest algorithms in the current object detection field, which uses fully convolutional neural network to detect all scaled objec…