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检索条件"任意字段=2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024"
4655 条 记 录,以下是301-310 订阅
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NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge
NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challe...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Liang, Jie Timofte, Radu Yi, Qiaosi Liu, Shuaizheng Sun, Lingchen Wu, Rongyuan Zhang, Xindong Zeng, Hui Zhang, Lei Huang, Yibin Liu, Shuai Li, Yongqiang Feng, Chaoyu Wang, Xiaotao Lei, Lei Chen, Yuxiang Chen, Xiangyu Chen, Qiubo Sun, Fengyu Cui, Mengying Chen, Jiaxu Hu, Zhenyu Liu, Jingyun Ma, Wenzhuo Wang, Ce Zheng, Hanyou Sun, Wanjie Chen, Zhenzhong Luo, Ziwei Gustafsson, Fredrik K. Zhao, Zheng Sjolund, Jens Schon, Thomas B. Dun, Xiong Ji, Pengzhou Xing, Yujie Wang, Xuquan Wang, Zhanshan Cheng, Xinbin Xiao, Jun He, Chenhang Wang, Xiuyuan Liu, Zhi-Song Miao, Zimeng Yin, Zhicun Liu, Ming Zuo, Wangmeng Li, Shuai Uppsala Univ Dept Informat Technol Uppsala Sweden Tongji Univ Inst Precis Opt Engn Sch Phys Sci & Engn Shanghai Peoples R China Hong Kong Polytech Univ Hong Kong Peoples R China Lappeenranta Lahti Univ Technol Lappeenranta Finland Harbin Inst Technol Sch Comp Sci & Technol Harbin Peoples R China
In this paper, we review the NTIRE 2024 challenge on Restore Any Image Model (RAIM) in the Wild. The RAIM challenge constructed a benchmark for image restoration in the wild, including real-world images with/without r... 详细信息
来源: 评论
New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-Resolution  31
New Techniques for Preserving Global Structure and Denoising...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Bei, Yijie Damian, Alex Hu, Shijia Menon, Sachit Ravi, Nikhil Rudin, Cynthia Duke Univ Durham NC 27706 USA
This work identifies and addresses two important technical challenges in single-image super-resolution: (1) how to upsample an image without magnifying noise and (2) how to preserve large scale structure when upsampli... 详细信息
来源: 评论
The Role of Shape for Domain Generalization on Sparsely-Textured Images
The Role of Shape for Domain Generalization on Sparsely-Text...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Nazari, Narges Honarvar Kovashka, Adriana Univ Pittsburgh Pittsburgh PA 15260 USA
State-of-the-art object recognition methods do not generalize well to unseen domains. Work in domain generalization has attempted to bridge domains by increasing feature compatibility, but has focused on standard, app... 详细信息
来源: 评论
Deep Learning based Spatial-Temporal In-loop filtering for Versatile Video Coding
Deep Learning based Spatial-Temporal In-loop filtering for V...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Pham, Chi D. K. Fu, Chen Zhou, Jinjia Hosei Univ Tokyo Japan JST PRESTO Saitama Japan
The existing deep learning-based Versatile Video Coding (VVC) in-loop filtering (ILF) enhancement works mainly focus on learning the one-to-one mapping between the reconstructed and the original video frame, ignoring ... 详细信息
来源: 评论
Subjective Quality Optimized Efficient Image Compression
Subjective Quality Optimized Efficient Image Compression
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wang, Xining Chen, Tong Ma, Zhan Nanjing Univ Vis Lab Nanjing Peoples R China
In this paper, we propose an efficient image compression framework that is optimized for subjective quality. Our framework is mainly based on the NLAIC (NonLocal Attention Optimized Image Coding) model which applied V... 详细信息
来源: 评论
Super-Resolution based Video Coding Scheme
Super-Resolution based Video Coding Scheme
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Cho, Hyun Min Choi, Kiho Gacheon Univ Sch Comp 1342 Seongnamdaero Seongnam Si Gyeonggi Do South Korea
In this paper, we present a super-resolution-based video coding scheme that compresses video data by combining traditional hybrid video coding and Convolutional neural network-based video coding. During video encoding... 详细信息
来源: 评论
Image Reconstruction from Neuromorphic Event Cameras using Laplacian-Prediction and Poisson Integration with Spiking and Artificial Neural Networks
Image Reconstruction from Neuromorphic Event Cameras using L...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Duwek, Hadar Cohen Shalumov, Albert Tsur, Elishai Ezra Open Univ Israel Neurobiomorph Engn Lab NBEL Dept Math & Comp Sci Raanana Israel
Event cameras are robust neuromorphic visual sensors, which communicate transients in luminance as events. Current paradigm for image reconstruction from event data relies on direct optimization of artificial Convolut... 详细信息
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Learned Compression of High Dimensional Image Datasets
Learned Compression of High Dimensional Image Datasets
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Cole, Elizabeth Meng, Qingxi Pauly, John Vasanawala, Shreyas Stanford Univ Dept Elect Engn Stanford CA 94305 USA Stanford Univ Dept Radiol Stanford CA 94305 USA
In many applications, such as burst photography and magnetic resonance imaging (MRI), multiple images are acquired to reduce the noise of the eventual reconstructed image. However, this leads to very high dimensional ... 详细信息
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CompConv: A Compact Convolution Module for Efficient Feature Learning
CompConv: A Compact Convolution Module for Efficient Feature...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Chen Xu, Yinghao Shen, Yujun Zhejiang Univ Hangzhou Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China
Convolutional Neural Networks (CNNs) have achieved remarkable success in various computer vision tasks but rely on tremendous computational cost. To solve this problem, existing approaches either compress well-trained... 详细信息
来源: 评论
CL-Gym: Full-Featured PyTorch Library for Continual Learning
CL-Gym: Full-Featured PyTorch Library for Continual Learning
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Mirzadeh, Seyed Iman Ghasemzadeh, Hassan Washington State Univ Pullman WA 99164 USA
Continual learning (CL) has become one of the most active research venues within the artificial intelligence community in recent years. Given the significant amount of attention paid to continual learning, the need fo... 详细信息
来源: 评论