1 code implementation • 9 May 2024 • Armin Shafiee Sarvestani, Wei Zhou, Zhou Wang
Extensive experiments on large-scale public datasets of 3D textured meshes demonstrate effectiveness and efficiency of the proposed PCD method in correct localization and detection of crack artifacts.
no code implementations • 7 May 2024 • Zhou Wang, Xingye Qiao
This dependency poses a challenge in the context of online learning with bandit feedback, where a learner only has access to the correctness of actions (i. e., pulled an arm) but not the full information of the true label.
no code implementations • 6 May 2024 • Mahdi Naseri, Jiayan Qiu, Zhou Wang
In this paper, we investigate a novel artificial intelligence generation task, termed as generated contents enrichment (GCE).
no code implementations • 14 Nov 2023 • Hang Yin, Kuang-Hung Liu, Mengying Sun, Yuxin Chen, Buyun Zhang, Jiang Liu, Vivek Sehgal, Rudresh Rajnikant Panchal, Eugen Hotaj, Xi Liu, Daifeng Guo, Jamey Zhang, Zhou Wang, Shali Jiang, Huayu Li, Zhengxing Chen, Wen-Yen Chen, Jiyan Yang, Wei Wen
The large scale of models and tight production schedule requires AutoML to outperform human baselines by only using a small number of model evaluation trials (around 100).
1 code implementation • 7 Sep 2023 • Xiangjie Sui, Hanwei Zhu, Xuelin Liu, Yuming Fang, Shiqi Wang, Zhou Wang
To address these issues, we introduce a unique generative scanpath representation (GSR) for effective quality inference of 360$^\circ$ images, which aggregates varied perceptual experiences of multi-hypothesis users under a predefined viewing condition.
no code implementations • 24 Feb 2023 • Wei Zhou, Zhou Wang
Omnidirectional image quality assessment (OIQA) aims to predict the perceptual quality of omnidirectional images that cover the whole 180$\times$360$^{\circ}$ viewing range of the visual environment.
1 code implementation • CVPR 2023 • Xiangjie Sui, Yuming Fang, Hanwei Zhu, Shiqi Wang, Zhou Wang
Scanpath prediction for 360deg images aims to produce dynamic gaze behaviors based on the human visual perception mechanism.
no code implementations • 20 Sep 2022 • Zhou Wang, Xingye Qiao
Set-valued classification, a new classification paradigm that aims to identify all the plausible classes that an observation belongs to, can be obtained by learning the acceptance regions for all classes.
1 code implementation • 15 Jul 2022 • Wei Zhou, Zhou Wang
There has been a growing interest in developing image super-resolution (SR) algorithms that convert low-resolution (LR) to higher resolution images, but automatically evaluating the visual quality of super-resolved images remains a challenging problem.
1 code implementation • 10 Nov 2021 • Honglei Su, Qi Liu, Zhengfang Duanmu, Wentao Liu, Zhou Wang
In this work, we first build a large 3D point cloud database for subjective and objective quality assessment of point clouds.
no code implementations • 28 Oct 2021 • ShahRukh Athar, Zhou Wang
In practical media distribution systems, visual content usually undergoes multiple stages of quality degradation along the delivery chain, but the pristine source content is rarely available at most quality monitoring points along the chain to serve as a reference for quality assessment.
1 code implementation • 16 Oct 2021 • Raymond Zhou, ShahRukh Athar, Zhongling Wang, Zhou Wang
Banding or false contour is an annoying visual artifact whose impact is even more pronounced in ultra high definition, high dynamic range, and wide colour gamut visual content, which is becoming increasingly popular.
no code implementations • 24 Sep 2021 • ShahRukh Athar, Zhongling Wang, Zhou Wang
This casts great challenges to deep neural network (DNN) based blind IQA (BIQA), which requires large-scale training data that is representative of the natural image distribution.
1 code implementation • 16 Aug 2021 • Sheyang Tang, Mahdi S. Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis, Zhou Wang
AI technology has made remarkable achievements in computational pathology (CPath), especially with the help of deep neural networks.
1 code implementation • 15 May 2021 • Wei Zhou, Zhou Wang, Zhibo Chen
In this paper, we assess the quality of SISR generated images in a two-dimensional (2D) space of structural fidelity versus statistical naturalness.
no code implementations • 30 Jan 2021 • Zhengfang Duanmu, Wentao Liu, Zhongling Wang, Zhou Wang
Image quality assessment (IQA) models aim to establish a quantitative relationship between visual images and their perceptual quality by human observers.
no code implementations • 16 Dec 2020 • Tiesong Zhao, YuTing Lin, Yiwen Xu, Weiling Chen, Zhou Wang
Image Super-Resolution (SR) techniques improve visual quality by enhancing the spatial resolution of images.
no code implementations • 4 Dec 2020 • Xiangyi Cui, Zhou Wang, Yonglin Ju, Xiuli Wang, Huaxuan Liu, Wenbo Ma, Jianglai Liu, Li Zhao, Xiangdong Ji, Shuaijie Li, Rui Yan, Haidong Sha, Peiyao Huang
An online cryogenic distillation system for the removal of krypton and radon from xenon was designed and constructed for PandaX-4T, a highly sensitive dark matter detection experiment.
Instrumentation and Detectors High Energy Physics - Experiment
1 code implementation • 11 Jul 2020 • Zhongling Wang, Mahdi S. Hosseini, Adyn Miles, Konstantinos N. Plataniotis, Zhou Wang
Out-of-focus microscopy lens in digital pathology is a critical bottleneck in high-throughput Whole Slide Image (WSI) scanning platforms, for which pixel-level automated Focus Quality Assessment (FQA) methods are highly desirable to help significantly accelerate the clinical workflows.
1 code implementation • 5 Jul 2019 • Weixia Zhang, Kede Ma, Jia Yan, Dexiang Deng, Zhou Wang
We propose a deep bilinear model for blind image quality assessment (BIQA) that handles both synthetic and authentic distortions.
Ranked #2 on Video Quality Assessment on MSU NR VQA Database
no code implementations • 13 Apr 2019 • Kede Ma, Wentao Liu, Tongliang Liu, Zhou Wang, DaCheng Tao
One of the biggest challenges in learning BIQA models is the conflict between the gigantic image space (which is in the dimension of the number of image pixels) and the extremely limited reliable ground truth data for training.
no code implementations • 1 Mar 2019 • Liqun Lin, Shiqi Yu, Tiesong Zhao, Member, Zhou Wang, Fellow, IEEE
To monitor and improve visual QoE, it is crucial to develop subjective and objective measures that can identify and quantify various types of PEAs.
no code implementations • 25 Jul 2017 • Changbo Fu, Xiaopeng Zhou, Xun Chen, Yunhua Chen, Xiangyi Cui, Deqing Fang, Karl Giboni, Franco Giuliani, Ke Han, Xingtao Huang, Xiangdong Ji, Yonglin Ju, Siao Lei, Shaoli Li, Huaxuan Liu, Jianglai Liu, Yugang Ma, Yajun Mao, Xiangxiang Ren, Andi Tan, Hongwei Wang, Jimin Wang, Meng Wang, Qiuhong Wang, Siguang Wang, Xuming Wang, Zhou Wang, Shiyong Wu, Mengjiao Xiao, Pengwei Xie, Binbin Yan, Yong Yang, Jianfeng Yue, Hongguang Zhang, Tao Zhang, Li Zhao, Ning Zhou
We report new searches for the solar axions and galactic axion-like dark matter particles, using the first low-background data from PandaX-II experiment at China Jinping Underground Laboratory, corresponding to a total exposure of about $2. 7\times 10^4$ kg$\cdot$day.
High Energy Physics - Experiment Solar and Stellar Astrophysics High Energy Physics - Phenomenology
no code implementations • 5 Dec 2016 • Kede Ma, Huan Fu, Tongliang Liu, Zhou Wang, DaCheng Tao
The human visual system excels at detecting local blur of visual images, but the underlying mechanism is not well understood.
no code implementations • CVPR 2016 • Kede Ma, Qingbo Wu, Zhou Wang, Zhengfang Duanmu, Hongwei Yong, Hongliang Li, Lei Zhang
We first build a database that contains 4, 744 source natural images, together with 94, 880 distorted images created from them.
no code implementations • 22 Mar 2016 • Mohammad Rostami, Zhou Wang
However, sparse representation of a signal over a known dictionary is an ill-posed, combinatorial optimization problem.
no code implementations • IEEE Transactions on Image Processing 2004 • Zhou Wang, A.C. Bovik, H.R. Sheikh; E.P. Simoncelli
Objective methods for assessing perceptual image quality traditionally attempted to quantify the visibility of errors (differences) between a distorted image and a reference image using a variety of known properties of the human visual system.
Ranked #11 on Video Quality Assessment on MSU FR VQA Database