39 citations · 49 across the 7 of their papers we have counts for
7 papers
A Simple Geometric-Aware Indoor Positioning Interpolation Algorithm Based on Manifold Learning
Suorong Yang, Geng Zhang, Jian Zhao +1
Interpolation methodologies have been widely used within the domain of indoor positioning systems. However, existing indoor positioning interpolation algorithms exhibit several inh…
SASICM A Multi-Task Benchmark For Subtext Recognition
Hua Yan, Feng Han, Junyi An +3
Subtext is a kind of deep semantics which can be acquired after one or more rounds of expression transformation. As a popular way of expressing one's intentions, it is well worth s…
Faster and Simpler Siamese Network for Single Object Tracking
Shaokui Jiang, Baile Xu, Jian Zhao +1
Single object tracking (SOT) is currently one of the most important tasks in computer vision. With the development of the deep network and the release for a series of large scale d…
IC Networks: Remodeling the Basic Unit for Convolutional Neural Networks
Junyi An, Fengshan Liu, Jian Zhao +1
Convolutional neural network (CNN) is a class of artificial neural networks widely used in computer vision tasks. Most CNNs achieve excellent performance by stacking certain types…
Temporal Convolutional Attention-based Network For Sequence Modeling
Hongyan Hao, Yan Wang, Siqiao Xue +3
With the development of feed-forward models, the default model for sequence modeling has gradually evolved to replace recurrent networks. Many powerful feed-forward models based on…
Pairwise Interactive Graph Attention Network for Context-Aware Recommendation
Yahui Liu, Furao Shen, Jian Zhao
Context-aware recommender systems (CARS), which consider rich side information to improve recommendation performance, have caught more and more attention in both academia and indus…
IC-Network: Efficient Structure for Convolutional Neural Networks
Junyi An, Fengshan Liu, Jian Zhao +1
Neural networks have been widely used, and most networks achieve excellent performance by stacking certain types of basic units. Compared to increasing the depth and width of the n…