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检索条件"任意字段=2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024"
11890 条 记 录,以下是331-340 订阅
排序:
Language-aware Visual Semantic Distillation for Video Question Answering
Language-aware Visual Semantic Distillation for Video Questi...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zou, Bo Yang, Chao Qiao, Yu Quan, Chengbin Zhao, Youjian Tsinghua Univ Beijing Peoples R China Shanghai AI Lab Shanghai Peoples R China Zhongguancun Lab Beijing Peoples R China
Significant progress in video question answering (VideoQA) have been made thanks to thriving large image-language pretraining frameworks. Although image-language models can efficiently represent both video and languag... 详细信息
来源: 评论
Learning from One Continuous Video Stream
Learning from One Continuous Video Stream
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Carreira, Joao King, Michael Patraucean, Viorica Gokal, Dilara Ionescu, Cristian Yang, Yi Zoran, Daniel Heyward, Joseph Doersch, Carl Aytar, Yusuf Damen, Di Liu Zisserman, Andrew Google DeepMind London 1 England Univ Bristol Bristol Avon England Univ Oxford Oxford England
We introduce a framework for online learning from a single continuous video stream - the way people and animals learn, without mini-batches, data augmentation or shuffling. This poses great challenges given the high c... 详细信息
来源: 评论
GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis
GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zheng, Shunyuan Zhou, Boyao Shao, Ruizhi Liu, Boning Zhang, Shengping Nie, Liqiang Liu, Yebin Harbin Inst Technol Harbin Peoples R China Tsinghua Univ Beijing Peoples R China Peng Cheng Lab Shenzhen Peoples R China
We present a new approach, termed GPS-Gaussian, for synthesizing novel views of a character in a real-time manner. The proposed method enables 2K-resolution rendering under a sparse-view camera setting. Unlike the ori... 详细信息
来源: 评论
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Sun, Zeyi Fang, Ye Wu, Tong Zhang, Pan Zang, Yuhang Kong, Shu Xiong, Yuanjun Lin, Dahua Wang, Jiaqi Shanghai Jiao Tong Univ Shanghai Peoples R China Fudan Univ Shanghai Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China Shanghai AI Lab Shanghai Peoples R China Univ Macau Taipa Macao Peoples R China MThreads Inc Beijing Peoples R China
Contrastive Language-Image Pre-training (CLIP) plays an essential role in extracting valuable content information from images across diverse tasks. It aligns textual and visual modalities to comprehend the entire imag... 详细信息
来源: 评论
Collaborative Visual Place recognition through Federated Learning
Collaborative Visual Place Recognition through Federated Lea...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Dutto, Mattia Berton, Gabriele Caldarola, Debora Fani, Eros Trivigno, Gabriele Masone, Carlo Politecn Torino Turin Italy
Visual Place recognition (VPR) aims to estimate the location of an image by treating it as a retrieval problem. VPR uses a database of geo-tagged images and leverages deep neural networks to extract a global represent... 详细信息
来源: 评论
DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection
DiffAM: Diffusion-based Adversarial Makeup Transfer for Faci...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Sun, Yuhao Yu, Lingyun Xie, Hongtao Li, Jiaming Zhang, Yongdong Univ Sci & Technol China Hefei Peoples R China
With the rapid development of face recognition (FR) systems, the privacy of face images on social media is facing severe challenges due to the abuse of unauthorized FR systems. Some studies utilize adversarial attack ... 详细信息
来源: 评论
Purposeful Regularization with Reinforcement Learning for Facial Expression recognition In-the-Wild
Purposeful Regularization with Reinforcement Learning for Fa...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Hong, SangHwa Seoul Natl Univ Sci & Technol Dept Ind Engn Gongreung Ro 232 Seoul South Korea
Facial Expression recognition (FER), an essential aspect of emotion analysis through artificial intelligence, is a crucial research area. Although traditional approaches utilizing Convolutional Neural Networks (CNNs) ... 详细信息
来源: 评论
OTE: Exploring Accurate Scene Text recognition Using One Token
OTE: Exploring Accurate Scene Text Recognition Using One Tok...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Xu, Jianjun Wang, Yuxin Xie, Hongtao Zhang, Yongdong Univ Sci & Technol China Hefei Peoples R China
In this paper, we propose a novel framework to fully exploit the potential of a single vector for scene text recognition (STR). Different from previous sequence-to-sequence methods that rely on a sequence of visual to... 详细信息
来源: 评论
Zero-Reference Low-Light Enhancement via Physical Quadruple Priors
Zero-Reference Low-Light Enhancement via Physical Quadruple ...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Wang, Wenjing Yang, Huan Fu, Jianlong Liu, Jiaying Peking Univ Beijing Peoples R China 01 AI Beijing Peoples R China Microsoft Res Asia Beijing Peoples R China
Understanding illumination and reducing the need for supervision pose a significant challenge in low-light enhancement. Current approaches are highly sensitive to data usage during training and illumination-specific h... 详细信息
来源: 评论
Open-Set Domain Adaptation for Semantic Segmentation
Open-Set Domain Adaptation for Semantic Segmentation
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Choe, Seun-An Shin, Ah-Hyung Park, Keon-Hee Choi, Jinwoo Park, Gyeong-Moon Kyung Hee Univ Yongin South Korea
Unsupervised domain adaptation (UDA) for semantic segmentation aims to transfer the pixel-wise knowledge from the labeled source domain to the unlabeled target domain. However, current UDA methods typically assume a s... 详细信息
来源: 评论