2.4k citations
- Tsinghua UniversityCN36 papers
- Chinese Academy of SciencesCN30 papers
- Peking UniversityCN27 papers
- National Engineering Laboratory of Deep Learning Technology and ApplicationCN25 papers
- University of Science and Technology of ChinaCN24 papers
- University of Technology SydneyAU20 papers
- Beihang UniversityCN16 papers
- Rutgers, The State University of New JerseyUS16 papers
- University of Hong KongHK16 papers
- University of Maryland, College ParkUS15 papers
- University of Chinese Academy of SciencesCN13 papers
- Zhejiang UniversityCN13 papers
77 papers · 1 filter
TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network
Yipeng Sun, Chengquan Zhang, Zuming Huang +3
Reading text from images remains challenging due to multi-orientation, perspective distortion and especially the curved nature of irregular text. Most of existing approaches attemp…
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding
Changsen Yuan, Heyan Huang, Chong Feng +2
Distant supervision for relation extraction is an efficient method to reduce labor costs and has been widely used to seek novel relational facts in large corpora, which can be iden…
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach
Chuan Qin, Hengshu Zhu, Tong Xu +4
The wide spread use of online recruitment services has led to information explosion in the job market. As a result, the recruiters have to seek the intelligent ways for Person Job…
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
Dongliang He, Zhichao Zhou, Chuang Gan +5
Despite the success of deep learning for static image understanding, it remains unclear what are the most effective network architectures for the spatial-temporal modeling in video…
Efficiently computable bounds for magic state distillation
Xin Wang, Mark M. Wilde, Yuan Su
Magic-state distillation (or non-stabilizer state manipulation) is a crucial component in the leading approaches to realizing scalable, fault-tolerant, and universal quantum comput…
Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin Softmax
Peng Lu, Gao Huang, Hangyu Lin +3
This paper proposes a novel approach for Sketch-Based Image Retrieval (SBIR), for which the key is to bridge the gap between sketches and photos in terms of the data representation…