8 citations · 8 across the 1 of their papers we have counts for
5 papers
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation
Hanwen Cao, Yongyi Lu, Cewu Lu +3
Recent works of point clouds show that mulit-frame spatio-temporal modeling outperforms single-frame versions by utilizing cross-frame information. In this paper, we further improv…
Multiple Character Embeddings for Chinese Word Segmentation
Jingkang Wang, Jianing Zhou, Jie Zhou +1
Chinese word segmentation (CWS) is often regarded as a character-based sequence labeling task in most current works which have achieved great success with the help of powerful neur…
Efficient feature learning and multi-size image steganalysis based on CNN
Ru Zhang, Feng Zhu, Jianyi Liu +1
For steganalysis, many studies showed that convolutional neural network has better performances than the two-part structure of traditional machine learning methods. However, there…
Sliced Recurrent Neural Networks
Zeping Yu, Gongshen Liu
Recurrent neural networks have achieved great success in many NLP tasks. However, they have difficulty in parallelization because of the recurrent structure, so it takes much time…
Modeling Multi-turn Conversation with Deep Utterance Aggregation
Zhuosheng Zhang, Jiangtong Li, Pengfei Zhu +2
Multi-turn conversation understanding is a major challenge for building intelligent dialogue systems. This work focuses on retrieval-based response matching for multi-turn conversa…