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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23241 条 记 录,以下是4981-4990 订阅
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association
Seeking the Shape of Sound: An Adaptive Framework for Learni...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wen, Peisong Xu, Qianqian Jiang, Yangbangyan Yang, Zhiyong He, Yuan Huang, Qingming Chinese Acad Sci Inst Comput Tech Key Lab Intel Info Proc Beijing Peoples R China Univ Chinese Acad Sci Sch Comp Sci & Tech Beijing Peoples R China Chinese Acad Sci Inst Info Engn State Key Lab Info Secur SKLOIS Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China Alibaba Grp Beijing Peoples R China Univ Chinese Acad Sci BDKM Beijing Peoples R China Peng Cheng Lab Shenzhen Peoples R China
Nowadays, we have witnessed the early progress on learning the association between voice and face automatically, which brings a new wave of studies to the computer vision community. However, most of the prior arts alo... 详细信息
来源: 评论
Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning
Ultra-High-Definition Image Dehazing via Multi-Guided Bilate...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zheng, Zhuoran Ren, Wenqi Cao, Xiaochun Hu, Xiaobin Wang, Tao Song, Fenglong Jia, Xiuyi Nanjing Univ Sci & Technol CSE Nanjing Peoples R China Chinese Acad Sci IIE SKLOIS Beijing Peoples R China Tech Univ Munich Informat Munich Germany Huawei Noahs Ark Lab Montreal PQ Canada
Convolutional neural networks (CNNs) have achieved significant success in the single image dehazing task. Unfortunately, most existing deep dehazing models have high computational complexity, which hinders their appli... 详细信息
来源: 评论
LCCNet: LiDAR and Camera Self-Calibration using Cost Volume Network
LCCNet: LiDAR and Camera Self-Calibration using Cost Volume ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lv, Xudong Wang, Boya Dou, Ziwen Ye, Dong Wang, Shuo Harbin Inst Technol Sch Instrumentat Sci & Engn Harbin Peoples R China
Multi-sensor fusion is for enhancing environment perception and 3D reconstruction in self-driving and robot navigation. Calibration between sensors is the precondition of effective multi-sensor fusion. Laborious manua... 详细信息
来源: 评论
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Adaptive Consistency Regularization for Semi-Supervised Tran...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Abuduweili, Abulikemu Li, Xingjian Shi, Humphrey Xu, Cheng-Zhong Dou, Dejing Baidu Res Big Data Lab Beijing Peoples R China Univ Oregon SHI Lab Eugene OR 97403 USA Univ Macau Dept Comp Sci State Key Lab IOTSC Taipa Macao Peoples R China
While recent studies on semi-supervised learning have shown remarkable progress in leveraging both labeled and unlabeled data, most of them presume a basic setting of the model is randomly initialized. In this work, w... 详细信息
来源: 评论
Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration
Dual Pixel Exploration: Simultaneous Depth Estimation and Im...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Pan, Liyuan Chowdhury, Shah Hartley, Richard Liu, Miaomiao Zhang, Hongguang Li, Hongdong Australian Natl Univ Canberra ACT Australia CSIRO A&F Canberra ACT Australia CSIRO Data61 Canberra ACT Australia SE Inst AMS Amsterdam Netherlands
The dual-pixel (DP) hardware works by splitting each pixel in half and creating an image pair in a single snapshot. Several works estimate depth/inverse depth by treating the DP pair as a stereo pair. However, dual-pi... 详细信息
来源: 评论
PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths
PMP-Net: Point Cloud Completion by Learning Multi-step Point...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wen, Xin Xiang, Peng Han, Zhizhong Cao, Yan-Pei Wan, Pengfei Zheng, Wen Liu, Yu-Shen Tsinghua Univ Sch Software BNRist Beijing Peoples R China Wayne State Univ Dept Comp Sci Detroit MI 48202 USA Kuaishou Technol Y Tech Beijing Peoples R China
The task of point cloud completion aims to predict the missing part for an incomplete 3D shape. A widely used strategy is to generate a complete point cloud from the incomplete one. However, the unordered nature of po... 详细信息
来源: 评论
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estim...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wei, Yi Wang, Ziyi Rao, Yongming Lu, Jiwen Zhou, Jie Tsinghua Univ Dept Automat Beijing Peoples R China State Key Lab Intelligent Technol & Syst Beijing Peoples R China Beijing Natl Res Ctr Informat Sci & Technol Beijing Peoples R China Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Beijing Peoples R China
In this paper, we propose a Point-Voxel Recurrent All-Pairs Field Transforms (PV-RAFT) method to estimate scene flow from point clouds. Since point clouds are irregular and unordered, it is challenging to efficiently ... 详细信息
来源: 评论
Learning Fine-Grained Segmentation of 3D Shapes without Part Labels
Learning Fine-Grained Segmentation of 3D Shapes without Part...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wang, Xiaogang Sun, Xun Cao, Xinyu Xu, Kai Zhou, Bin Southwest Univ Chongqing Peoples R China Beihang Univ State Key Lab Virtual Real Technol & Syst Beijing Peoples R China Natl Univ Def Technol Changsha Peoples R China
Learning-based 3D shape segmentation is usually formulated as a semantic labeling problem, assuming that all parts of training shapes are annotated with a given set of tags. This assumption, however, is impractical fo... 详细信息
来源: 评论
Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding
Cycle4Completion: Unpaired Point Cloud Completion using Cycl...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wen, Xin Han, Zhizhong Cao, Yan-Pei Wan, Pengfei Zheng, Wen Liu, Yu-Shen Tsinghua Univ Sch Software BNRist Beijing Peoples R China Wayne State Univ Dept Comp Sci Detroit MI 48202 USA Kuaishou Technol Y Tech Beijing Peoples R China
In this paper, we present a novel unpaired point cloud completion network, named Cycle4Completion, to infer the complete geometries from a partial 3D object. Previous unpaired completion methods merely focus on the le... 详细信息
来源: 评论
MR Image Super-Resolution with Squeeze and Excitation Reasoning Attention Network
MR Image Super-Resolution with Squeeze and Excitation Reason...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Yulun Li, Kai Li, Kunpeng Fu, Yun Northeastern Univ Dept ECE Boston MA 02115 USA Northeastern Univ Khoury Coll Comp Sci Boston MA 02115 USA
High-quality high-resolution (HR) magnetic resonance (MR) images afford more detailed information for reliable diagnosis and quantitative image analyses. Deep convolutional neural networks (CNNs) have shown promising ... 详细信息
来源: 评论