1 code implementation • 16 Nov 2024 • Yi Liu, Qiuping Jiang, Xinyi Wang, Ting Luo, Jingchun Zhou
In this paper, we propose to address this issue by designing a two-stage deep learning framework and taking advantage of cascaded contrastive learning to guide the network training of each stage.
no code implementations • 12 Nov 2024 • Wu Chen, Qiuping Jiang, Wei Zhou, Feng Shao, Guangtao Zhai, Weisi Lin
Finally, reasoning on the constructed graph is performed by GCN to characterize the mutual dependencies and interactions between different projected images, and aggregate feature information of multi-view projected images for final quality prediction.
1 code implementation • 24 Jun 2024 • Jun Fu, Wei Zhou, Qiuping Jiang, Hantao Liu, Guangtao Zhai
This is not enough for adapting CLIP models to AI generated image quality assessment (AGIQA) since AGIs visually differ from natural images.
no code implementations • 12 Dec 2023 • Jingchun Zhou, Zongxin He, Qiuping Jiang, Kui Jiang, Xianping Fu, Xuelong Li
To solve this issue, previous methods often idealize the degradation process, and neglect the impact of medium noise and object motion on the distribution of image features, limiting the generalization and adaptability of the model.
1 code implementation • 17 May 2023 • Zongwei Wu, Jingjing Wang, Zhuyun Zhou, Zhaochong An, Qiuping Jiang, Cédric Demonceaux, Guolei Sun, Radu Timofte
In this paper, we propose a novel approach by mining the Cross-Modal Semantics to guide the fusion and decoding of multimodal features, with the aim of controlling the modal contribution based on relative entropy.
3 code implementations • 7 Sep 2022 • Runmin Cong, Qi Qin, Chen Zhang, Qiuping Jiang, Shiqi Wang, Yao Zhao, Sam Kwong
In this paper, we focus on a new weakly-supervised SOD task under hybrid labels, where the supervision labels include a large number of coarse labels generated by the traditional unsupervised method and a small number of real labels.
Ranked #6 on
RGB Salient Object Detection
on PASCAL-S
no code implementations • 31 Aug 2022 • Wei Zhou, Qi Yang, Qiuping Jiang, Guangtao Zhai, Weisi Lin
Objective quality assessment of 3D point clouds is essential for the development of immersive multimedia systems in real-world applications.
1 code implementation • 1 Aug 2022 • Hangwei Chen, Feng Shao, Xiongli Chai, Yuese Gu, Qiuping Jiang, Xiangchao Meng, Yo-Sung Ho
Arbitrary neural style transfer is a vital topic with great research value and wide industrial application, which strives to render the structure of one image using the style of another.
3 code implementations • 17 Jul 2022 • Runmin Cong, Haowei Yang, Qiuping Jiang, Wei Gao, Haisheng Li, Cong Wang, Yao Zhao, Sam Kwong
The spread of COVID-19 has brought a huge disaster to the world, and the automatic segmentation of infection regions can help doctors to make diagnosis quickly and reduce workload.
no code implementations • 12 May 2022 • Qiuping Jiang, Jiawu Xu, Yudong Mao, Wei Zhou, Xiongkuo Min, Guangtao Zhai
The DDB-Net contains three modules, i. e., an image decomposition module, a feature encoding module, and a bilinear pooling module.
no code implementations • 25 Feb 2022 • Wei Zhou, Xiongkuo Min, Hong Li, Qiuping Jiang
In this paper, we provide a brief overview of adaptive video streaming quality assessment.
1 code implementation • 11 Aug 2021 • Qiuping Jiang, Zhentao Liu, Shiqi Wang, Feng Shao, Weisi Lin
Instead of explicitly formulating and fusing different masking effects in a bottom-up way, the proposed JND estimation model dedicates to first predicting a critical perceptual lossless (CPL) counterpart of the original image and then calculating the difference map between the original image and the predicted CPL image as the JND map.
no code implementations • 22 Feb 2021 • Wei Zhou, Jiahua Xu, Qiuping Jiang, Zhibo Chen
To our knowledge, the proposed model is the first no-reference quality assessment method for 360-degreee images that combines multi-frequency information and image naturalness.
1 code implementation • 7 Jan 2021 • Sheng Yang, Weisi Lin, Guosheng Lin, Qiuping Jiang, Zichuan Liu
We present a simple yet effective progressive self-guided loss function to facilitate deep learning-based salient object detection (SOD) in images.
no code implementations • 13 Apr 2020 • Wei Zhou, Qiuping Jiang, Yuwang Wang, Zhibo Chen, Weiping Li
Numerous image superresolution (SR) algorithms have been proposed for reconstructing high-resolution (HR) images from input images with lower spatial resolutions.
1 code implementation • 7 Apr 2019 • Sheng Yang, Guosheng Lin, Qiuping Jiang, Weisi Lin
In this work, we proposed an end-to-end dilated inception network (DINet) for visual saliency prediction.