activity
20172021
most citedMulti-label Image Recognition by Recurrently Discovering Attentional Regions

53 citations · 119 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 1 cited

Exploring Geometric Consistency for Monocular 3D Object Detection

Qing Lian, Botao Ye, Ruijia Xu +2

This paper investigates the geometric consistency for monocular 3D object detection, which suffers from the ill-posed depth estimation. We first conduct a thorough analysis to reve…

cs.CV2020★ 5 cited

Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection

Ganlong Zhao, Guanbin Li, Ruijia Xu +1

Object detectors are usually trained with large amount of labeled data, which is expensive and labor-intensive. Pre-trained detectors applied to unlabeled dataset always suffer fro…

cs.CV2019★ 7 cited

An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation

Jihan Yang, Ruijia Xu, Ruiyu Li +4

We focus on Unsupervised Domain Adaptation (UDA) for the task of semantic segmentation. Recently, adversarial alignment has been widely adopted to match the marginal distribution o…

cs.LG2018★ 53 cited

Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift

Ruijia Xu, Ziliang Chen, Wangmeng Zuo +2

Unsupervised domain adaptation (UDA) conventionally assumes labeled source samples coming from a single underlying source distribution. Whereas in practical scenario, labeled data…

cs.CV2017★ 53 cited

Multi-label Image Recognition by Recurrently Discovering Attentional Regions

Zhouxia Wang, Tianshui Chen, Guanbin Li +2

This paper proposes a novel deep architecture to address multi-label image recognition, a fundamental and practical task towards general visual understanding. Current solutions for…