activity
20182022
most citedSparse Semantic Map-Based Monocular Localization in Traffic Scenes Using Learned 2D-3D Point-Line Correspondences

9 citations · 19 across the 4 of their papers we have counts for

collaborators

10 papers

cs.CV20229 cited

Sparse Semantic Map-Based Monocular Localization in Traffic Scenes Using Learned 2D-3D Point-Line Correspondences

Xingyu Chen, Jianru Xue, Shanmin Pang

Vision-based localization in a prior map is of crucial importance for autonomous vehicles. Given a query image, the goal is to estimate the camera pose corresponding to the prior m…

cs.CV20214 cited

MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes

Zhikai Chen, Lingxi Xie, Shanmin Pang +2

Deepfakes raised serious concerns on the authenticity of visual contents. Prior works revealed the possibility to disrupt deepfakes by adding adversarial perturbations to the sourc…

cs.LG2020

Consistent and Complementary Graph Regularized Multi-view Subspace Clustering

Qinghai Zheng, Jihua Zhu, Zhongyu Li +3

This study investigates the problem of multi-view clustering, where multiple views contain consistent information and each view also includes complementary information. Exploration…

cs.CV20206 cited

Domain segmentation and adjustment for generalized zero-shot learning

Xinsheng Wang, Shanmin Pang, Jihua Zhu

In the generalized zero-shot learning, synthesizing unseen data with generative models has been the most popular method to address the imbalance of training data between seen and u…

cs.CV2019

Appending Adversarial Frames for Universal Video Attack

Zhikai Chen, Lingxi Xie, Shanmin Pang +2

There have been many efforts in attacking image classification models with adversarial perturbations, but the same topic on video classification has not yet been thoroughly studied…

cs.LG2019

Constrained Bilinear Factorization Multi-view Subspace Clustering

Qinghai Zheng, Jihua Zhu, Zhiqiang Tian +3

Multi-view clustering is an important and fundamental problem. Many multi-view subspace clustering methods have been proposed, and most of them assume that all views share a same c…