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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000"
19489 条 记 录,以下是4771-4780 订阅
排序:
Blind Face Restoration via Integrating Face Shape and Generative Priors
Blind Face Restoration via Integrating Face Shape and Genera...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zhu, Feida Zhu, Junwei Chu, Wenqing Zhang, Xinyi Ji, Xiaozhong Wang, Chengjie Tai, Ying Tencent Youtu Lab Shenzhen Peoples R China
Blind face restoration, which aims to reconstruct high-quality images from low-quality inputs, can benefit many applications. Although existing generative-based methods achieve significant progress in producing high-q... 详细信息
来源: 评论
Seeing What You Miss: vision-Language Pre-training with Semantic Completion Learning
Seeing What You Miss: Vision-Language Pre-training with Sema...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Ji, Yatai Tu, Rongcheng Jiang, Jie Kong, Weijie Cai, Chengfei Zhao, Wenzhe Wang, Hongfa Yang, Yujiu Liu, Wei Tsinghua Univ Beijing Peoples R China Tencent Shenzhen Guangdong Peoples R China
Cross-modal alignment is essential for vision-language pre-training (VLP) models to learn the correct corresponding information across different modalities. For this purpose, inspired by the success of masked language... 详细信息
来源: 评论
GOOD FEATURES TO TRACK
GOOD FEATURES TO TRACK
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1994 ieee computer-Society conference on computer vision and pattern recognition
作者: SHI, JB TOMASI, C CORNELL UNIV DEPT COMP SCIITHACANY 14853
No feature-based vision system can work unless good features can be identified and tracked from frame to frame. Although tracking itself is by and large a solved problem, selecting features that can be tracked well an... 详细信息
来源: 评论
Revisiting Counterfactual Problems in Referring Expression Comprehension
Revisiting Counterfactual Problems in Referring Expression C...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Yu, Zhihan Li, Ruifan Beijing Univ Posts & Telecommun Sch Artificial Intelligence Beijing Peoples R China
Traditional referring expression comprehension (REC) aims to locate the target referent in an image guided by a text query. Several previous methods have studied on the Counterfactual problem in REC (C-REC) where the ... 详细信息
来源: 评论
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification  32
Attribute-Driven Feature Disentangling and Temporal Aggregat...
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32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zhao, Yiru Shen, Xu Jin, Zhongming Lu, Hongtao Hua, Xian-sheng Shanghai Jiao Tong Univ MoE Key Lab Artificial Intelligence Dept Comp Sci & Engn Key Lab Shanghai Educ Commiss Intelligent Interac Shanghai Peoples R China Alibaba Grp Alibaba Damo Acad Hangzhou Peoples R China
Video-based person re-identification plays an important role in surveillance video analysis, expanding image-based methods by learning features of multiple frames. Most existing methods fuse features by temporal avera... 详细信息
来源: 评论
DiffusionCLIP Text-Guided Diffusion Models for Robust Image Manipulation
DiffusionCLIP Text-Guided Diffusion Models for Robust Image ...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Kim, Gwanghyun Kwon, Taesung Ye, Jong Chul Korea Adv Inst Sci & Technol KAIST Dept Bio & Brain Engn Daejeon South Korea Korea Adv Inst Sci & Technol KAIST Kim Jaechul Grad Sch AI Daejeon South Korea
Recently, GAN inversion methods combined with Contrastive Language-Image Pretraining (CLIP) enables zeroshot image manipulation guided by text prompts. However, their applications to diverse real images are still diff... 详细信息
来源: 评论
Constrained Clustering and Its Application to Face Clustering in Videos
Constrained Clustering and Its Application to Face Clusterin...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Wu, Baoyuan Zhang, Yifan Hu, Bao-Gang Ji, Qiang CASIA NLPR Beijing 100190 Peoples R China Rensselaer Polytech Inst Troy NY 12180 USA
In this paper, we focus on face clustering in videos. Given the detected faces from real-world videos, we partition all faces into K disjoint clusters. Different from clustering on a collection of facial images, the f... 详细信息
来源: 评论
A2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation
<i>A</i><SUP>2</SUP>-FPN: Attention Aggregation based Featur...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Hu, Miao Li, Yali Fang, Lu Wang, Shengjin Tsinghua Univ Dept Elect Engn Beijing Peoples R China
Learning pyramidal feature representations is crucial for recognizing object instances at different scales. Feature Pyramid Network (FPN) is the classic architecture to build a feature pyramid with high-level semantic... 详细信息
来源: 评论
Relaxed matching kernels for robust image comparison
Relaxed matching kernels for robust image comparison
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ieee conference on computer vision and pattern recognition
作者: Vedaldi, Andrea Soatto, Stefano Univ Calif Los Angeles Los Angeles CA 90095 USA
The popular bag-of-features representation for object recognition collects signatures of local image patches and discards spatial information. Some have recently attempted to at least partially overcome this limitatio... 详细信息
来源: 评论
Normalized and Geometry-Aware Self-Attention Network for Image Captioning
Normalized and Geometry-Aware Self-Attention Network for Ima...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Guo, Longteng Liu, Jing Zhu, Xinxin Yao, Peng Lu, Shichen Lu, Hanqing Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China Univ Sci & Technol Beijing Beijing Peoples R China Wuhan Univ Wuhan Peoples R China
Self-attention (SA) network has shown profound value in image captioning. In this paper, we improve SA from two aspects to promote the performance of image captioning. First, we propose Normalized Self-Attention (NSA)... 详细信息
来源: 评论