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20152026
most citedAdaptive Siamese Tracking with a Compact Latent Network

50 citations · 315 across the 84 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

cs.CV2019

Sparse Coding on Cascaded Residuals

Tong Zhang, Fatih Porikli

This paper seeks to combine dictionary learning and hierarchical image representation in a principled way. To make dictionary atoms capturing additional information from extended r…

cs.CV2019

Component Attention Guided Face Super-Resolution Network: CAGFace

Ratheesh Kalarot, Tao Li, Fatih Porikli

To make the best use of the underlying structure of faces, the collective information through face datasets and the intermediate estimates during the upsampling process, here we in…

cs.CV2019★ 29 cited

Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation

Liyuan Pan, Yuchao Dai, Miaomiao Liu +2

Stereo videos for the dynamic scenes often show unpleasant blurred effects due to the camera motion and the multiple moving objects with large depth variations. Given consecutive b…

cs.CV2019

Sketch-Specific Data Augmentation for Freehand Sketch Recognition

Ying Zheng, Hongxun Yao, Xiaoshuai Sun +3

Sketch recognition remains a significant challenge due to the limited training data and the substantial intra-class variance of freehand sketches for the same object. Conventional…

cs.CV2019

Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention

Hafeez Anwar, Saeed Anwar, Sebastian Zambanini +1

We perform the classification of ancient Roman Republican coins via recognizing their reverse motifs where various objects, faces, scenes, animals, and buildings are minted along w…

cs.CV2019★ 19 cited

Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification

Guodong Ding, Salman Khan, Zhenmin Tang +2

Person re-identification aims to establish the correct identity correspondences of a person moving through a non-overlapping multi-camera installation. Recent advances based on dee…