74 citations · 133 across the 4 of their papers we have counts for
4 papers
Deep Feature Augmentation for Occluded Image Classification
Feng Cen, Xiaoyu Zhao, Wuzhuang Li +1
Due to the difficulty in acquiring massive task-specific occluded images, the classification of occluded images with deep convolutional neural networks (CNNs) remains highly challe…
Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features
Feng Cen, Guanghui Wang
Classification of partially occluded images is a highly challenging computer vision problem even for the cutting edge deep learning technologies. To achieve a robust image classifi…
MDFN: Multi-Scale Deep Feature Learning Network for Object Detection
Wenchi Ma, Yuanwei Wu, Feng Cen +1
This paper proposes an innovative object detector by leveraging deep features learned in high-level layers. Compared with features produced in earlier layers, the deep features are…
Distributed Joint Source and Channel Coding with Low-Density Parity-Check Codes
Feng Cen
Low-density parity-check (LDPC) codes with the parity-based approach for distributed joint source channel coding (DJSCC) with decoder side information is described in this paper. T…