584 citations · 1.3k across the 51 of their papers we have counts for
5 papers · 1 filter
Breaking the Expressive Bottlenecks of Graph Neural Networks
Mingqi Yang, Yanming Shen, Heng Qi +1
Recently, the Weisfeiler-Lehman (WL) graph isomorphism test was used to measure the expressiveness of graph neural networks (GNNs), showing that the neighborhood aggregation GNNs w…
Weakly-supervised Salient Instance Detection
Xin Tian, Ke Xu, Xin Yang +2
Existing salient instance detection (SID) methods typically learn from pixel-level annotated datasets. In this paper, we present the first weakly-supervised approach to the SID pro…
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
Hongchen Tan, Xiuping Liu, Baocai Yin +1
This paper presents a novel person re-identification model, named Multi-Head Self-Attention Network (MHSA-Net), to prune unimportant information and capture key local information f…
Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification
Hongchen Tan, Yuhao Bian, Huasheng Wang +2
In this paper, we propose a novel person Re-ID model, Consecutive Batch DropBlock Network (CBDB-Net), to capture the attentive and robust person descriptor for the person Re-ID tas…
Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions
Xueyan Yin, Genze Wu, Jinze Wei +3
Traffic prediction plays an essential role in intelligent transportation system. Accurate traffic prediction can assist route planing, guide vehicle dispatching, and mitigate traff…