Search Results for author: Xiaobing Wang

Found 8 papers, 3 papers with code

FF-Former: Swin Fourier Transformer for Nighttime Flare Removal

no code implementations CVPR Workshop 2023 Dafeng Zhang, Jia Ouyang, Guanqun Liu, Xiaobing Wang, Xiangyu Kong, Zhezhu Jin

And the flare can cause the dark regions to become brighter and result in a loss of contrast and alteration of the frequency characteristics of the image.

Flare Removal

CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering

no code implementations ICCV 2023 Shuai Shen, Wanhua Li, Xiaobing Wang, Dafeng Zhang, Zhezhu Jin, Jie zhou, Jiwen Lu

Furthermore, we develop a neighbor-aware proxy generator that fuses the features describing various attributes into a proxy feature to build a bridge among different sub-clusters and reduce the intra-class variance.

Attribute Clustering +2

DMTNet: Dynamic Multi-scale Network for Dual-pixel Images Defocus Deblurring with Transformer

no code implementations13 Sep 2022 Dafeng Zhang, Xiaobing Wang

Recent works achieve excellent results in defocus deblurring task based on dual-pixel data using convolutional neural network (CNN), while the scarcity of data limits the exploration and attempt of vision transformer in this task.

Deblurring Image Defocus Deblurring +1

SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution

1 code implementation24 Aug 2022 Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin

Transformer-based methods have achieved impressive image restoration performance due to their capacities to model long-range dependency compared to CNN-based methods.

Data Augmentation Image Reconstruction +2

Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation

no code implementations CVPR 2019 Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyun-Soo Choi, Sungjin Kim

Here, recurrent neural network based adaptive text region representation is proposed for text region refinement, where a pair of boundary points are predicted each time step until no new points are found.

Region Proposal Scene Text Detection +2

R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection

1 code implementation29 Jun 2017 Yingying Jiang, Xiangyu Zhu, Xiaobing Wang, Shuli Yang, Wei Li, Hua Wang, Pei Fu, Zhenbo Luo

In this paper, we propose a novel method called Rotational Region CNN (R2CNN) for detecting arbitrary-oriented texts in natural scene images.

Region Proposal Scene Text Detection +1

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