activity
20182025
most citedA Survey on Deep Transfer Learning

37 citations · 40 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization

Zhiwang Zhang, Dong Xu, Wanli Ouyang +1

In this work, we propose a division-and-summarization (DaS) framework for dense video captioning. After partitioning each untrimmed long video as multiple event proposals, where ea…

eess.SP2019★ 2 cited

Attention-based Transfer Learning for Brain-computer Interface

Chuanqi Tan, Fuchun Sun, Tao Kong +2

Different functional areas of the human brain play different roles in brain activity, which has not been paid sufficient research attention in the brain-computer interface (BCI) fi…

q-bio.QM2018★ 1 cited

Spatial and Spectral Features Fusion for EEG Classification during Motor Imagery in BCI

Chuanqi Tan, Fuchun Sun, Wenchang Zhang +2

Brain computer interface (BCI) is the only way for some special patients to communicate with the outside world and provide a direct control channel between brain and the external d…

cs.LG2018★ 37 cited

A Survey on Deep Transfer Learning

Chuanqi Tan, Fuchun Sun, Tao Kong +3

As a new classification platform, deep learning has recently received increasing attention from researchers and has been successfully applied to many domains. In some domains, like…

cs.CV2018

Deep Transfer Learning for EEG-based Brain Computer Interface

Chuanqi Tan, Fuchun Sun, Wenchang Zhang

The electroencephalography classifier is the most important component of brain-computer interface based systems. There are two major problems hindering the improvement of it. First…

cs.CV2018

Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography

Chuanqi Tan, Fuchun Sun, Wenchang Zhang +2

Electroencephalography (EEG) has become the most significant input signal for brain computer interface (BCI) based systems. However, it is very difficult to obtain satisfactory cla…