348 citations · 678 across the 31 of their papers we have counts for
31 papers
Lesion-aware network for diabetic retinopathy diagnosis
Xue Xia, Kun Zhan, Yuming Fang +2
Deep learning brought boosts to auto diabetic retinopathy (DR) diagnosis, thus, greatly helping ophthalmologists for early disease detection, which contributes to preventing diseas…
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
Weide Liu, Zhonghua Wu, Yang Zhao +4
Current methods for few-shot segmentation (FSSeg) have mainly focused on improving the performance of novel classes while neglecting the performance of base classes. To overcome th…
CFNet: Conditional Filter Learning with Dynamic Noise Estimation for Real Image Denoising
Yifan Zuo, Jiacheng Xie, Yuming Fang +2
A mainstream type of the state of the arts (SOTAs) based on convolutional neural network (CNN) for real image denoising contains two sub-problems, i.e., noise estimation and non-bl…
GMF: General Multimodal Fusion Framework for Correspondence Outlier Rejection
Xiaoshui Huang, Wentao Qu, Yifan Zuo +2
Rejecting correspondence outliers enables to boost the correspondence quality, which is a critical step in achieving high point cloud registration accuracy. The current state-of-th…
A Novel Long-term Iterative Mining Scheme for Video Salient Object Detection
Chenglizhao Chen, Hengsen Wang, Yuming Fang +1
The existing state-of-the-art (SOTA) video salient object detection (VSOD) models have widely followed short-term methodology, which dynamically determines the balance between spat…
Distilling Knowledge from Object Classification to Aesthetics Assessment
Jingwen Hou, Henghui Ding, Weisi Lin +2
In this work, we point out that the major dilemma of image aesthetics assessment (IAA) comes from the abstract nature of aesthetic labels. That is, a vast variety of distinct conte…
A Perceptually Optimized and Self-Calibrated Tone Mapping Operator
Peibei Cao, Chenyang Le, Yuming Fang +1
With the increasing popularity and accessibility of high dynamic range (HDR) photography, tone mapping operators (TMOs) for dynamic range compression are practically demanding. In…
Perceptual Quality Assessment of Virtual Reality Videos in the Wild
Wen Wen, Mu Li, Yiru Yao +5
Investigating how people perceive virtual reality (VR) videos in the wild (i.e., those captured by everyday users) is a crucial and challenging task in VR-related applications due…
Measuring Perceptual Color Differences of Smartphone Photographs
Zhihua Wang, Keshuo Xu, Yang Yang +5
Measuring perceptual color differences (CDs) is of great importance in modern smartphone photography. Despite the long history, most CD measures have been constrained by psychophys…
IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration
Xiaoshui Huang, Wentao Qu, Yifan Zuo +2
The existing state-of-the-art point descriptor relies on structure information only, which omit the texture information. However, texture information is crucial for our humans to d…
Image Quality Assessment in the Modern Age
Kede Ma, Yuming Fang
This tutorial provides the audience with the basic theories, methodologies, and current progresses of image quality assessment (IQA). From an actionable perspective, we will first…
Perceptually Optimized Deep High-Dynamic-Range Image Tone Mapping
Chenyang Le, Jiebin Yan, Yuming Fang +1
We describe a deep high-dynamic-range (HDR) image tone mapping operator that is computationally efficient and perceptually optimized. We first decompose an HDR image into a normali…
Learning from Synthetic Data for Opinion-free Blind Image Quality Assessment in the Wild
Zhihua Wang, Zhi-Ri Tang, Jianguo Zhang +1
Nowadays, most existing blind image quality assessment (BIQA) models 1) are developed for synthetically-distorted images and often generalize poorly to authentic ones; 2) heavily r…
Anomaly Detection in Video Sequences: A Benchmark and Computational Model
Boyang Wan, Wenhui Jiang, Yuming Fang +2
Anomaly detection has attracted considerable search attention. However, existing anomaly detection databases encounter two major problems. Firstly, they are limited in scale. Secon…
Guidance and Teaching Network for Video Salient Object Detection
Yingxia Jiao, Xiao Wang, Yu-Cheng Chou +4
Owing to the difficulties of mining spatial-temporal cues, the existing approaches for video salient object detection (VSOD) are limited in understanding complex and noisy scenario…
Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning
Boyang Wan, Yuming Fang, Xue Xia +1
Anomaly detection in surveillance videos is a challenging task due to the diversity of anomalous video content and duration. In this paper, we consider video anomaly detection as a…
Learning Image Aesthetic Assessment from Object-level Visual Components
Jingwen Hou, Sheng Yang, Weisi Lin +2
As it is said by Van Gogh, great things are done by a series of small things brought together. Aesthetic experience arises from the aggregation of underlying visual components. How…
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
Jiebin Yan, Yu Zhong, Yuming Fang +2
Semantic segmentation is an extensively studied task in computer vision, with numerous methods proposed every year. Thanks to the advent of deep learning in semantic segmentation,…
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
Qijian Zhang, Runmin Cong, Chongyi Li +5
Despite the remarkable advances in visual saliency analysis for natural scene images (NSIs), salient object detection (SOD) for optical remote sensing images (RSIs) still remains a…
A multi-level approach with visual information for encrypted H.265/HEVC videos
Wenying Wen, Rongxin Tu, Yushu Zhang +2
High-efficiency video coding (HEVC) encryption has been proposed to encrypt syntax elements for the purpose of video encryption. To achieve high video security, to the best of our…
Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection
Xuehao Wang, Shuai Li, Chenglizhao Chen +3
Existing RGB-D salient object detection methods treat depth information as an independent component to complement its RGB part, and widely follow the bi-stream parallel network arc…
Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection
Chenglizhao Chen, Guotao Wang, Chong Peng +3
The current main stream methods formulate their video saliency mainly from two independent venues, i.e., the spatial and temporal branches. As a complementary component, the main t…
A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception
Chenglizhao Chen, Jia Song, Chong Peng +2
Previous video salient object detection (VSOD) approaches have mainly focused on designing fancy networks to achieve their performance improvements. However, with the slow-down in…
Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos
Xiangjie Sui, Kede Ma, Yiru Yao +1
Omnidirectional images (also referred to as static 360° panoramas) impose viewing conditions much different from those of regular 2D images. How do humans perceive image distortion…