activity
20162021
most citedResidual Non-local Attention Networks for Image Restoration

203 citations · 257 across the 7 of their papers we have counts for

collaborators

12 papers

cs.CV20212 cited

Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy

Zikai Zhang, Bineng Zhong, Shengping Zhang +3

A practical long-term tracker typically contains three key properties, i.e. an efficient model design, an effective global re-detection strategy and a robust distractor awareness m…

cs.CV20214 cited

Learning to Filter: Siamese Relation Network for Robust Tracking

Siyuan Cheng, Bineng Zhong, Guorong Li +4

Despite the great success of Siamese-based trackers, their performance under complicated scenarios is still not satisfying, especially when there are distractors. To this end, we p…

cs.CV20204 cited

Projection & Probability-Driven Black-Box Attack

Jie Li, Rongrong Ji, Hong Liu +4

Generating adversarial examples in a black-box setting retains a significant challenge with vast practical application prospects. In particular, existing black-box attacks suffer f…

cs.CV202021 cited

What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation

Jiahua Dong, Yang Cong, Gan Sun +2

Unsupervised domain adaptation has attracted growing research attention on semantic segmentation. However, 1) most existing models cannot be directly applied into lesions transfer…

cs.CV202017 cited

Siamese Box Adaptive Network for Visual Tracking

Zedu Chen, Bineng Zhong, Guorong Li +2

Most of the existing trackers usually rely on either a multi-scale searching scheme or pre-defined anchor boxes to accurately estimate the scale and aspect ratio of a target. Unfor…

cs.CV2019203 cited

Residual Non-local Attention Networks for Image Restoration

Yulun Zhang, Kunpeng Li, Kai Li +2

In this paper, we propose a residual non-local attention network for high-quality image restoration. Without considering the uneven distribution of information in the corrupted ima…