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20102024
most citedA Survey on Visual Transformer

4.4k citations · 24.2k across the 344 of their papers we have counts for

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Showing 2015 · cs.CVShow all

6 papers · 2 filters

cs.CV2015★ 5 cited

Part-Stacked CNN for Fine-Grained Visual Categorization

Shaoli Huang, Zhe Xu, Dacheng Tao +1

In the context of fine-grained visual categorization, the ability to interpret models as human-understandable visual manuals is sometimes as important as achieving high classificat…

cs.CV2015★ 100 cited

An Experimental Survey on Correlation Filter-based Tracking

Zhe Chen, Zhibin Hong, Dacheng Tao

Over these years, Correlation Filter-based Trackers (CFTs) have aroused increasing interests in the field of visual object tracking, and have achieved extremely compelling results…

cs.CV2015★ 16 cited

A New Low-Rank Tensor Model for Video Completion

Wenrui Hu, Dacheng Tao, Wensheng Zhang +2

In this paper, we propose a new low-rank tensor model based on the circulant algebra, namely, twist tensor nuclear norm or t-TNN for short. The twist tensor denotes a 3-way tensor…

cs.CV2015★ 460 cited

Robust Face Recognition via Multimodal Deep Face Representation

Changxing Ding, Dacheng Tao

Face images appeared in multimedia applications, e.g., social networks and digital entertainment, usually exhibit dramatic pose, illumination, and expression variations, resulting…

cs.CV2015★ 4 cited

DropSample: A New Training Method to Enhance Deep Convolutional Neural Networks for Large-Scale Unconstrained Handwritten Chinese Character Recognition

Weixin Yang, Lianwen Jin, Dacheng Tao +2

Inspired by the theory of Leitners learning box from the field of psychology, we propose DropSample, a new method for training deep convolutional neural networks (DCNNs), and apply…

cs.CV2015★ 35 cited

A Comprehensive Survey on Pose-Invariant Face Recognition

Changxing Ding, Dacheng Tao

The capacity to recognize faces under varied poses is a fundamental human ability that presents a unique challenge for computer vision systems. Compared to frontal face recognition…