activity
20192021
most citedOn the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering

13 citations · 16 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR2021

Real-time tracking of COVID-19 and coronavirus research updates through text mining

Yutong Jin, Jie Li, Xinyu Wang +5

The novel coronavirus (SARS-CoV-2) which causes COVID-19 is an ongoing pandemic. There are ongoing studies with up to hundreds of publications uploaded to databases daily. We are e…

cs.LG20213 cited

Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations

Dawei Leng, Jinjiang Guo, Lurong Pan +2

Graph neural networks are emerging as continuation of deep learning success w.r.t. graph data. Tens of different graph neural network variants have been proposed, most following a…

cs.CV202013 cited

On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering

Xinyu Wang, Yuliang Liu, Chunhua Shen +6

Visual Question Answering (VQA) methods have made incredible progress, but suffer from a failure to generalize. This is visible in the fact that they are vulnerable to learning coi…

cs.CV2019

Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection

Yuliang Liu, Tong He, Hao Chen +5

Multi-orientation scene text detection has recently gained significant research attention. Previous methods directly predict words or text lines, typically by using quadrilateral s…

cs.GR2019

Personality-Aware Probabilistic Map for Trajectory Prediction of Pedestrians

Chaochao Li, Pei Lv, Mingliang Xu +4

We present a novel trajectory prediction algorithm for pedestrians based on a personality-aware probabilistic feature map. This map is computed using a spatial query structure and…