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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023"
3320 条 记 录,以下是3161-3170 订阅
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Clothed Human Performance Capture with a Double-layer Neural Radiance Fields
Clothed Human Performance Capture with a Double-layer Neural...
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conference on computer vision and pattern recognition (CVPR)
作者: Kangkan Wang Guofeng Zhang Suxu Cong Jian Yang Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology China State Key Laboratory of CAD&CG Zhejiang University China
This paper addresses the challenge of capturing performance for the clothed humans from sparse-view or monocular videos. Previous methods capture the performance of full humans with a personalized template or recover ...
来源: 评论
Private Image Generation with Dual-Purpose Auxiliary Classifier
Private Image Generation with Dual-Purpose Auxiliary Classif...
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conference on computer vision and pattern recognition (CVPR)
作者: Chen Chen Daochang Liu Siqi Ma Surya Nepal Chang Xu School of Computer Science The University of Sydney Faculty of Engineering The University of New South Wales Canberra CSIRO Data61
Privacy-preserving image generation has been important for segments such as medical domains that have sensitive and limited data. The benefits of guaranteed privacy come at the costs of generated images' quality a...
来源: 评论
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields
Exact-NeRF: An Exploration of a Precise Volumetric Parameter...
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conference on computer vision and pattern recognition (CVPR)
作者: Brian K. S. Isaac-Medina Chris G. Willcocks Toby P. Breckon Department of Computer Science Durham University UK Department of Engineering Durham University UK
Neural Radiance Fields (NeRF) have attracted significant attention due to their ability to synthesize novel scene views with great accuracy. However, inherent to their underlying formulation, the sampling of points al...
来源: 评论
Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling
Multi-Modal Learning with Missing Modality via Shared-Specif...
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conference on computer vision and pattern recognition (CVPR)
作者: Hu Wang Yuanhong Chen Congbo Ma Jodie Avery Louise Hull Gustavo Carneiro The University of Adelaide Adelaide Australia Centre for Vision Speech and Signal Processing University of Surrey UK
The missing modality issue is critical but non-trivial to be solved by multi-modal models. Current methods aiming to handle the missing modality problem in multi-modal tasks, either deal with missing modalities only d...
来源: 评论
Hard Sample Matters a Lot in Zero-Shot Quantization
Hard Sample Matters a Lot in Zero-Shot Quantization
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conference on computer vision and pattern recognition (CVPR)
作者: Huantong Li Xiangmiao Wu Fanbing Lv Daihai Liao Thomas H. Li Yonggang Zhang Bo Han Mingkui Tan South China University of Technology Information Technology R&D Innovation Center of Peking University Changsha Hisense Intelligent System Research Institute Co. Ltd School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen China Hong Kong Baptist University Key Laboratory of Big Data and Intelligent Robot Ministry of Education PengCheng Laboratory
Zero-shot quantization (ZSQ) is promising for compressing and accelerating deep neural networks when the data for training full-precision models are inaccessible. In ZSQ, network quantization is performed using synthe...
来源: 评论
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
Out-of-Distributed Semantic Pruning for Robust Semi-Supervis...
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conference on computer vision and pattern recognition (CVPR)
作者: Yu Wang Pengchong Qiao Chang Liu Guoli Song Xiawu Zheng Jie Chen School of Electronic and Computer Engineering Peking University Shenzhen China AI for Science(AI4S)-Preferred Program Peking University Shenzhen Graduate School China Peng Cheng Laboratory Shenzhen China Department of Automation and BNRist Tsinghua University Beijing China
Recent advances in robust semi-supervised learning (SSL) typically filter out-of-distribution (OOD) information at the sample level. We argue that an overlooked problem of robust SSL is its corrupted information on se...
来源: 评论
MDL-NAS: A Joint Multi-domain Learning Framework for vision Transformer
MDL-NAS: A Joint Multi-domain Learning Framework for Vision ...
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conference on computer vision and pattern recognition (CVPR)
作者: Shiguang Wang Tao Xie Jian Cheng Xingcheng Zhang Haijun Liu University of Electronic Science and Technology of China SenseTime Research Harbin Institute of Technology Chongqing University
In this work, we introduce MDL-NAS, a unified frame-work that integrates multiple vision tasks into a manageable supernet and optimizes these tasks collectively under diverse dataset domains. MDL-NAS is storage-effici...
来源: 评论
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation
Unsupervised domain adaptation and super resolution on drone...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Paul Albert Mohamed Saadeldin Badri Narayanan Brian Mac Namee Deirdre Hennessy Noel E. O’ Connor Kevin McGuinness School of Electronic Engineering Dublin City University Insight Centre for Data Analytics VistaMilk School of Computer Science University College Dublin Teagasc
Herbage mass yield and composition estimation is an important tool for dairy farmers to ensure an adequate supply of high quality herbage for grazing and subsequently milk production. By accurately estimating herbage ... 详细信息
来源: 评论
Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation
Combining Implicit-Explicit View Correlation for Light Field...
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conference on computer vision and pattern recognition (CVPR)
作者: Ruixuan Cong Da Yang Rongshan Chen Sizhe Wang Zhenglong Cui Hao Sheng State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beihang Hangzhou Innovation Institute Yuhang Faculty of Applied Sciences Macao Polytechnic University
Since light field simultaneously records spatial information and angular information of light rays, it is considered to be beneficial for many potential applications, and semantic segmentation is one of them. The regu...
来源: 评论
Null-text Inversion for Editing Real Images using Guided Diffusion Models
Null-text Inversion for Editing Real Images using Guided Dif...
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conference on computer vision and pattern recognition (CVPR)
作者: Ron Mokady Amir Hertz Kfir Aberman Yael Pritch Daniel Cohen-Or Google Research The Blavatnik School of Computer Science Tel Aviv University
Recent large-scale text-guided diffusion models provide powerful image generation capabilities. Currently, a massive effort is given to enable the modification of these images using text only as means to offer intuiti...
来源: 评论