activity
20142020
most citedWhat-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification

155 citations · 373 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2020★ 127 cited

Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks

Shaoxiong Ji, Xue Li, Zi Huang +1

Mental health is a critical issue in modern society, and mental disorders could sometimes turn to suicidal ideation without effective treatment. Early detection of mental disorders…

stat.ML2020★ 3 cited

Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking

Hanlin Zhu, Xue Li, Liuyang Sun +5

Across many areas, from neural tracking to database entity resolution, manual assessment of clusters by human experts presents a bottleneck in rapid development of scalable and spe…

cs.CR2019★ 1 cited

Knowledge Transferring via Model Aggregation for Online Social Care

Shaoxiong Ji, Guodong Long, Shirui Pan +4

The Internet and the Web are being increasingly used in proactive social care to provide people, especially the vulnerable, with a better life and services, and their derived socia…

cs.CV2018★ 11 cited

YH Technologies at ActivityNet Challenge 2018

Ting Yao, Xue Li

This notebook paper presents an overview and comparative analysis of our systems designed for the following five tasks in ActivityNet Challenge 2018: temporal action proposals, tem…

cs.CV2017★ 155 cited

What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification

Lin Wu, Yang Wang, Xue Li +1

Matching pedestrians across disjoint camera views, known as person re-identification (re-id), is a challenging problem that is of importance to visual recognition and surveillance.…

cs.CV2017★ 76 cited

Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification

Lin Wu, Yang Wang

Given a pedestrian image as a query, the purpose of person re-identification is to identify the correct match from a large collection of gallery images depicting the same person ca…

cs.CY2014

Affect Sensing on Smartphone - Possibilities of Understanding Cognitive Decline in Aging Population

Rajib Rana, John Reilly, Raja Jurdak +3

Due to increasing sensing capacity, smartphones offer unprecedented opportunity to monitor human health. Affect sensing is one such essential monitoring that can be achieved on sma…