584 citations · 1.9k across the 94 of their papers we have counts for
5 papers · 1 filter
AON: Towards Arbitrarily-Oriented Text Recognition
Zhanzhan Cheng, Yangliu Xu, Fan Bai +3
Recognizing text from natural images is a hot research topic in computer vision due to its various applications. Despite the enduring research of several decades on optical charact…
Cascade Region Proposal and Global Context for Deep Object Detection
Qiaoyong Zhong, Chao Li, Yingying Zhang +3
Deep region-based object detector consists of a region proposal step and a deep object recognition step. In this paper, we make significant improvements on both of the two steps. F…
Focusing Attention: Towards Accurate Text Recognition in Natural Images
Zhanzhan Cheng, Fan Bai, Yunlu Xu +3
Scene text recognition has been a hot research topic in computer vision due to its various applications. The state of the art is the attention-based encoder-decoder framework that…
Skeleton-based Action Recognition with Convolutional Neural Networks
Chao Li, Qiaoyong Zhong, Di Xie +1
Current state-of-the-art approaches to skeleton-based action recognition are mostly based on recurrent neural networks (RNN). In this paper, we propose a novel convolutional neural…
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Di Xie, Jiang Xiong, Shiliang Pu
Deep neural network is difficult to train and this predicament becomes worse as the depth increases. The essence of this problem exists in the magnitude of backpropagated errors th…