activity
20162021
most citedAuto-MVCNN: Neural Architecture Search for Multi-view 3D Shape Recognition

5 citations · 7 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-Identification

Huafeng Li, Kaixiong Xu, Jinxing Li +4

Since human-labeled samples are free for the target set, unsupervised person re-identification (Re-ID) has attracted much attention in recent years, by additionally exploiting the…

cs.CV20205 cited

Auto-MVCNN: Neural Architecture Search for Multi-view 3D Shape Recognition

Zhaoqun Li, Hongren Wang, Jinxing Li

In 3D shape recognition, multi-view based methods leverage human's perspective to analyze 3D shapes and have achieved significant outcomes. Most existing research works in deep lea…

cs.LG2018

Model Inconsistent but Correlated Noise: Multi-view Subspace Learning with Regularized Mixture of Gaussians

Hongwei Yong, Deyu Meng, Jinxing Li +2

Multi-view subspace learning (MSL) aims to find a low-dimensional subspace of the data obtained from multiple views. Different from single view case, MSL should take both common an…

cs.CV20182 cited

Dual Asymmetric Deep Hashing Learning

Jinxing Li, Bob Zhang, Guangming Lu +1

Due to the impressive learning power, deep learning has achieved a remarkable performance in supervised hash function learning. In this paper, we propose a novel asymmetric supervi…

cs.CV2016

Multi-modal Fusion for Diabetes Mellitus and Impaired Glucose Regulation Detection

Jinxing Li, David Zhang, Yongcheng Li +1

Effective and accurate diagnosis of Diabetes Mellitus (DM), as well as its early stage Impaired Glucose Regulation (IGR), has attracted much attention recently. Traditional Chinese…