1.1k citations · 2.3k across the 45 of their papers we have counts for
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Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method
Tao Wang, Kaihao Zhang, Tianrun Shen +3
As the quality of optical sensors improves, there is a need for processing large-scale images. In particular, the ability of devices to capture ultra-high definition (UHD) images a…
Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning
Tao Wang, Guangpin Tao, Wanglong Lu +4
Image restoration under hazy weather condition, which is called single image dehazing, has been of significant interest for various computer vision applications. In recent years, d…
ADTR: Anomaly Detection Transformer with Feature Reconstruction
Zhiyuan You, Kai Yang, Wenhan Luo +3
Anomaly detection with only prior knowledge from normal samples attracts more attention because of the lack of anomaly samples. Existing CNN-based pixel reconstruction approaches s…
Blind Face Restoration: Benchmark Datasets and a Baseline Model
Puyang Zhang, Kaihao Zhang, Wenhan Luo +2
Blind Face Restoration (BFR) aims to construct a high-quality (HQ) face image from its corresponding low-quality (LQ) input. Recently, many BFR methods have been proposed and they…
Multi-Prior Learning via Neural Architecture Search for Blind Face Restoration
Yanjiang Yu, Puyang Zhang, Kaihao Zhang +4
Blind Face Restoration (BFR) aims to recover high-quality face images from low-quality ones and usually resorts to facial priors for improving restoration performance. However, cur…
Aesthetic Text Logo Synthesis via Content-aware Layout Inferring
Yizhi Wang, Guo Pu, Wenhan Luo +4
Text logo design heavily relies on the creativity and expertise of professional designers, in which arranging element layouts is one of the most important procedures. However, few…
Deep Image Deblurring: A Survey
Kaihao Zhang, Wenqi Ren, Wenhan Luo +4
Image deblurring is a classic problem in low-level computer vision with the aim to recover a sharp image from a blurred input image. Advances in deep learning have led to significa…
Few-shot Object Counting with Similarity-Aware Feature Enhancement
Zhiyuan You, Kai Yang, Wenhan Luo +3
This work studies the problem of few-shot object counting, which counts the number of exemplar objects (i.e., described by one or several support images) occurring in the query ima…