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A Counterfactual Ultrasound Anti-Interference Self-Supervised Network for B-mode Ultrasound Tongue Extraction
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2025 | Conference Paper |
B-mode ultrasound tongue imaging is a non-invasive and real-time method for visualizing vocal tract deformation. However, accurately extracting the tongue’s surface contour remains a significant challenge due to the low signal-to-noise ratio (SNR) and prevalent speckle noise in ultrasound images. Traditional supervised learning models often require large labeled datasets, which are labor-intensive...Show More
MonoIR: Inpainting and Reconstruction for Monocular Endoscope Deformation Scenes
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2025 | Conference Paper |
Monocular endoscopic scene reconstruction is challenging due to limited viewpoints and interference from surgical instruments. While 3D Gaussian-based methods are popular for their strong reconstruction capabilities and efficiency, they often rely on sensors or stereo depth, resulting in blurred tissue areas when instruments obstruct the view. To overcome these issues, we propose MonoIR, an inpain...Show More
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey
Marcos V. Conde;Florin-Alexandru Vasluianu;Radu Timofte;Jianxing Zhang;Jia Li;Fan Wang;Xiaopeng Li;Zikun Liu;Hyunhee Park;Sejun Song;Changho Kim;Zhijuan Huang;Hongyuan Yu;Cheng Wan;Wending Xiang;Jiamin Lin;Hang Zhong;Qiaosong Zhang;Yue Sun;Xuanwu Yin;Kunlong Zuo;Senyan Xu;Siyuan Jiang;Zhijing Sun;Jiaying Zhu;Liangyan Li;Ke Chen;Yunzhe Li;Yimo Ning;Guanhua Zhao;Jun Chen;Jinyang Yu;Kele Xu;Qisheng Xu;Yong Dou;Jianxing Zhang;Jia Li;Fan Wang;Xiaopeng Li;Zikun Liu;Hyunhee Park;Sejun Song;Changho Kim;Zhijuan Huang;Hongyuan Yu;Cheng Wan;Wending Xiang;Jiamin Lin;Hang Zhong;Qiaosong Zhang;Yue Sun;Xuanwu Yin;Kunlong Zuo;Senyan Xu;Siyuan Jiang;Zhijing Sun;Jiaying Zhu;Liangyan Li;Ke Chen;Yunzhe Li;Yimo Ning;Guanhua Zhao;Jun Chen;Jinyang Yu;Kele Xu;Qisheng Xu;Yong Dou
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2024 | Conference Paper |
Cited by: Papers (17)
This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Super-Resolution could be essential in modern Image Signal Processing (ISP) pipelines, however, this problem is not as explored as in the RGB domain. Th goal of this challenge is to upscale RAW Bayer images by 2x, considering unknown degradations such as nois...Show More
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey
Marcos V. Conde;Florin-Alexandru Vasluianu;Radu Timofte;Jianxing Zhang;Jia Li;Fan Wang;Xiaopeng Li;Zikun Liu;Hyunhee Park;Sejun Song;Changho Kim;Zhijuan Huang;Hongyuan Yu;Cheng Wan;Wending Xiang;Jiamin Lin;Hang Zhong;Qiaosong Zhang;Yue Sun;Xuanwu Yin;Kunlong Zuo;Senyan Xu;Siyuan Jiang;Zhijing Sun;Jiaying Zhu;Liangyan Li;Ke Chen;Yunzhe Li;Yimo Ning;Guanhua Zhao;Jun Chen;Jinyang Yu;Kele Xu;Qisheng Xu;Yong Dou;Jianxing Zhang;Jia Li;Fan Wang;Xiaopeng Li;Zikun Liu;Hyunhee Park;Sejun Song;Changho Kim;Zhijuan Huang;Hongyuan Yu;Cheng Wan;Wending Xiang;Jiamin Lin;Hang Zhong;Qiaosong Zhang;Yue Sun;Xuanwu Yin;Kunlong Zuo;Senyan Xu;Siyuan Jiang;Zhijing Sun;Jiaying Zhu;Liangyan Li;Ke Chen;Yunzhe Li;Yimo Ning;Guanhua Zhao;Jun Chen;Jinyang Yu;Kele Xu;Qisheng Xu;Yong Dou
Year: 2024 | Conference Paper |
Adapter-Based Incremental Learning for Face Forgery Detection
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2024 | Conference Paper |
Cited by: Papers (3)
Many existing face forgery detection methods primarily revolve around learning general representations on predefined datasets and subsequently crossing these static representations to other datasets. However, these approaches could lead to catastrophic forgetting in real-world scenarios, especially when new forgery methods continually emerge. In this paper, we proposed a novel incremental learning...Show More
Improving Motion Deblur By Multi-Output Learning
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Image deblurring is an ill-posed task, where exists infinite feasible solutions for blurry images. Modem deep learning approaches usually discard the learning of blur kernels and directly employ end-to-end supervised learning. However, supervised learning can’t handle ill-posed tasks appropriately. It regresses the average thus losing sharp details. Therefore, we propose an extension to the networ...Show More
Area-NeRF: Area-based Neural Radiance Fields
2023 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)
Year: 2023 | Conference Paper |
Neural Radiance Field (NeRF) has received widespread attention for its photo-realistic novel view synthesis quality. Current methods mainly represent the scene based on point sampling of ray casting, ignoring the influence of the observed area changing with distance. In addition, The current sampling strategies are all focused on the distribution of sampling points on the ray, without paying atten...Show More
Rumor Detection Via Assessing the Spreading Propensity of Users
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2023 | Conference Paper |
The explosion of rumors on social media has adversely affected cyber security and our lives, increasing the urgent demand for rumor detection. Existing detection methods focus on exploring signals of deception from textual contents and rumor propagation structures, without fully considering user’s long-term spreading propensity. Sociology and psychology have demonstrated that when a rumor satisfie...Show More
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