activity
20162025
most citedA Perceptually Weighted Rank Correlation Indicator for Objective Image Quality Assessment

71 citations · 126 across the 16 of their papers we have counts for

collaborators

16 papers

eess.IV2025

Your Demands Deserve More Bits: Referring Semantic Image Compression at Ultra-low Bitrate

Chenhao Wu, Qingbo Wu, Haoran Wei +5

With the help of powerful generative models, Semantic Image Compression (SIC) has achieved impressive performance at ultra-low bitrate. However, due to coarse-grained visual-semant…

eess.IV2024

On the Adversarial Robustness of Learning-based Image Compression Against Rate-Distortion Attacks

Chenhao Wu, Qingbo Wu, Haoran Wei +5

Despite demonstrating superior rate-distortion (RD) performance, learning-based image compression (LIC) algorithms have been found to be vulnerable to malicious perturbations in re…

cs.CV2023★ 1 cited

Learning with Noisy Low-Cost MOS for Image Quality Assessment via Dual-Bias Calibration

Lei Wang, Qingbo Wu, Desen Yuan +4

Learning based image quality assessment (IQA) models have obtained impressive performance with the help of reliable subjective quality labels, where mean opinion score (MOS) is the…

cs.CV2022★ 2 cited

Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment

Rui Ma, Qingbo Wu, King Ngi Ngan +3

Recent years have witnessed the great success of blind image quality assessment (BIQA) in various task-specific scenarios, which present invariable distortion types and evaluation…

cs.CV2021★ 29 cited

Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning

Haoran Wei, Qingbo Wu, Hui Li +4

Due to the lack of natural scene and haze prior information, it is greatly challenging to completely remove the haze from a single image without distorting its visual content. Fort…

cs.CV2021★ 2 cited

BA^2M: A Batch Aware Attention Module for Image Classification

Qishang Cheng, Hongliang Li, Qingbo Wu +1

The attention mechanisms have been employed in Convolutional Neural Network (CNN) to enhance the feature representation. However, existing attention mechanisms only concentrate on…

eess.IV2021★ 2 cited

Advanced Geometry Surface Coding for Dynamic Point Cloud Compression

Jian Xiong, Hao Gao, Miaohui Wang +3

In video-based dynamic point cloud compression (V-PCC), 3D point clouds are projected onto 2D images for compressing with the existing video codecs. However, the existing video cod…

eess.IV2019★ 2 cited

Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image

Qingbo Wu, Lei Wang, King N. Ngan +3

Images acquired by outdoor vision systems easily suffer poor visibility and annoying interference due to the rainy weather, which brings great challenge for accurately understandin…

cs.CV2019★ 1 cited

Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint

Kaixu Huang, Fanman Meng, Hongliang Li +3

Class activation map (CAM) highlights regions of classes based on classification network, which is widely used in weakly supervised tasks. However, it faces the problem that the cl…

cs.CV2019★ 1 cited

A New Few-shot Segmentation Network Based on Class Representation

Yuwei Yang, Fanman Meng, Hongliang Li +2

This paper studies few-shot segmentation, which is a task of predicting foreground mask of unseen classes by a few of annotations only, aided by a set of rich annotations already e…

cs.CV2019

Visibility Constrained Generative Model for Depth-based 3D Facial Pose Tracking

Lu Sheng, Jianfei Cai, Tat-Jen Cham +2

In this paper, we propose a generative framework that unifies depth-based 3D facial pose tracking and face model adaptation on-the-fly, in the unconstrained scenarios with heavy oc…

cs.CV2019★ 7 cited

MVF-Net: Multi-View 3D Face Morphable Model Regression

Fanzi Wu, Linchao Bao, Yajing Chen +5

We address the problem of recovering the 3D geometry of a human face from a set of facial images in multiple views. While recent studies have shown impressive progress in 3D Morpha…

cs.CV2019★ 2 cited

Hierarchy Neighborhood Discriminative Hashing for An Unified View of Single-Label and Multi-Label Image retrieval

Lei Ma, Hongliang Li, Qingbo Wu +2

Recently, deep supervised hashing methods have become popular for large-scale image retrieval task. To preserve the semantic similarity notion between examples, they typically util…

cs.CV2017★ 6 cited

3D Facial Expression Reconstruction using Cascaded Regression

Fanzi Wu, Songnan Li, Tianhao Zhao +2

This paper proposes a novel model fitting algorithm for 3D facial expression reconstruction from a single image. Face expression reconstruction from a single image is a challenging…

cs.CV2017★ 71 cited

A Perceptually Weighted Rank Correlation Indicator for Objective Image Quality Assessment

Qingbo Wu, Hongliang Li, Fanman Meng +1

In the field of objective image quality assessment (IQA), the Spearman's and Kendall's are two most popular rank correlation indicators, which straightforwardly assign unif…

cs.MM2016

Hybrid Video Signal Coding Technologies: Past, Current and Future

Miaohui Wang, Ngan King Ngi

The growing needs for high-quality video applications have resulted in a lot of studies and developments in video signal coding. This chapter presents some advanced techniques in e…