16 citations · 19 across the 2 of their papers we have counts for
7 papers
PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems
Tian Lan, Xian-Ling Mao, Wei Wei +2
Open-domain generative dialogue systems have attracted considerable attention over the past few years. Currently, how to automatically evaluate them, is still a big challenge probl…
Crowd Counting via Hierarchical Scale Recalibration Network
Zhikang Zou, Yifan Liu, Shuangjie Xu +3
The task of crowd counting is extremely challenging due to complicated difficulties, especially the huge variation in vision scale. Previous works tend to adopt a naive concatenati…
Are Noisy Sentences Useless for Distant Supervised Relation Extraction?
Yuming Shang
The noisy labeling problem has been one of the major obstacles for distant supervised relation extraction. Existing approaches usually consider that the noisy sentences are useless…
Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation
Wei Wei, Ling Cheng, Xianling Mao +2
Recently, automatic image caption generation has been an important focus of the work on multimodal translation task. Existing approaches can be roughly categorized into two classes…
Deep Hashing for Signed Social Network Embedding
Jia-Nan Guo, Xian-Ling Mao, Xiao-Jian Jiang +3
Network embedding is a promising way of network representation, facilitating many signed social network processing and analysis tasks such as link prediction and node classificatio…
Enhanced 3D convolutional networks for crowd counting
Zhikang Zou, Huiliang Shao, Xiaoye Qu +2
Recently, convolutional neural networks (CNNs) are the leading defacto method for crowd counting. However, when dealing with video datasets, CNN-based methods still process each vi…