9 citations · 12 across the 5 of their papers we have counts for
5 papers
A Benchmark for Semi-supervised Multi-modal Crowd Counting
Haoliang Meng, Xiaopeng Hong, Yabin Wang +1
This paper constructs the first benchmark on semi-supervised multi-modal crowd counting. To lay the foundation for this unexplored task, we first formulate the semi-supervised mult…
A cross-modal network for facial expression recognition
Chunwei Tian, Jingyuan Xie, Qi Zhang +3
Deep neural networks enriched with structural information have been widely employed for facial expression recognition tasks. However, these methods often depend on hierarchical inf…
A Perception CNN for Facial Expression Recognition
Chunwei Tian, Jingyuan Xie, Lingjun Li +3
Convolutional neural networks (CNNs) can automatically learn data patterns to express face images for facial expression recognition (FER). However, they may ignore effect of facial…
Application of convolutional neural networks in image super-resolution
Chunwei Tian, Mingjian Song, Wangmeng Zuo +3
Due to strong learning abilities of convolutional neural networks (CNNs), they have become mainstream methods for image super-resolution. However, there are big differences of diff…
Relationship Quantification of Image Degradations
Wenxin Wang, Boyun Li, Yuanbiao Gou +3
In this paper, we study two challenging but less-touched problems in image restoration, namely, i) how to quantify the relationship between image degradations and ii) how to improv…