activity
20182022
most citedDiscovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification

5 citations · 20 across the 7 of their papers we have counts for

collaborators

10 papers

cs.CV20223 cited

The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training

Junhao Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai +1

Although current deep learning techniques have yielded superior performance on various computer vision tasks, yet they are still vulnerable to adversarial examples. Adversarial tra…

cs.CV20224 cited

Restricted Black-box Adversarial Attack Against DeepFake Face Swapping

Junhao Dong, Yuan Wang, Jianhuang Lai +1

DeepFake face swapping presents a significant threat to online security and social media, which can replace the source face in an arbitrary photo/video with the target face of an e…

cs.CV20225 cited

Exploring Dual-task Correlation for Pose Guided Person Image Generation

Pengze Zhang, Lingxiao Yang, Jianhuang Lai +1

Pose Guided Person Image Generation (PGPIG) is the task of transforming a person image from the source pose to a given target pose. Most of the existing methods only focus on the i…

cs.CV20221 cited

Benchmarking Deep Models for Salient Object Detection

Huajun Zhou, Yang Lin, Lingxiao Yang +2

In recent years, deep network-based methods have continuously refreshed state-of-the-art performance on Salient Object Detection (SOD) task. However, the performance discrepancy ca…

cs.CV20212 cited

Edge Prior Augmented Networks for Motion Deblurring on Naturally Blurry Images

Yuedong Chen, Junjia Huang, Jianfeng Wang +1

Motion deblurring has witnessed rapid development in recent years, and most of the recent methods address it by using deep learning techniques, with the help of different kinds of…

cs.CV2019

Batch Face Alignment using a Low-rank GAN

Jiabo Huang, Xiaohua Xie, Wei-Shi Zheng

This paper studies the problem of aligning a set of face images of the same individual into a normalized image while removing the outliers like partial occlusion, extreme facial ex…