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20152022
most citedDeepID3: Face Recognition with Very Deep Neural Networks

895 citations · 1k across the 9 of their papers we have counts for

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11 papers · 1 filter

cs.CV2021

PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text

Wenhai Wang, Enze Xie, Xiang Li +5

Scene text detection and recognition have been well explored in the past few years. Despite the progress, efficient and accurate end-to-end spotting of arbitrarily-shaped text rema…

cs.CV20212 cited

Inter-class Discrepancy Alignment for Face Recognition

Jiaheng Liu, Yudong Wu, Yichao Wu +4

The field of face recognition (FR) has witnessed great progress with the surge of deep learning. Existing methods mainly focus on extracting discriminative features, and directly c…

cs.CV202125 cited

Segmenting Transparent Object in the Wild with Transformer

Enze Xie, Wenjia Wang, Wenhai Wang +4

This work presents a new fine-grained transparent object segmentation dataset, termed Trans10K-v2, extending Trans10K-v1, the first large-scale transparent object segmentation data…

cs.CV2021

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

Wenhai Wang, Enze Xie, Xiang Li +6

Although using convolutional neural networks (CNNs) as backbones achieves great successes in computer vision, this work investigates a simple backbone network useful for many dense…

cs.CV2020

DocStruct: A Multimodal Method to Extract Hierarchy Structure in Document for General Form Understanding

Zilong Wang, Mingjie Zhan, Xuebo Liu +1

Form understanding depends on both textual contents and organizational structure. Although modern OCR performs well, it is still challenging to realize general form understanding b…

cs.CV20207 cited

Scene Text Image Super-Resolution in the Wild

Wenjia Wang, Enze Xie, Xuebo Liu +4

Low-resolution text images are often seen in natural scenes such as documents captured by mobile phones. Recognizing low-resolution text images is challenging because they lose det…