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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition"
53104 条 记 录,以下是261-270 订阅
排序:
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Metho...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Longguang Guo, Yulan Li, Juncheng Liu, Hongda Zhao, Yang Wang, Yingqian Jin, Zhi Gu, Shuhang Timofte, Radu Aviation University of Air Force Sun Yat-sen University The Shenzhen Campus of Sun Yat-sen University China National University of Defense Technology China Shanghai University China University of Electronic Science and Technology of China China Computer Vision Lab University of Würzburg Germany
This paper summarizes the 3rd NTIRE challenge on stereo image super-resolution (SR) with a focus on new solutions and results. The task of this challenge is to super-resolve a low-resolution stereo image pair to a hig... 详细信息
来源: 评论
CAGE: Circumplex Affect Guided Expression Inference
CAGE: Circumplex Affect Guided Expression Inference
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wagner, Niklas Maetzler, Felix Vossberg, Samed R. Schneider, Helen Pavlitska, Svetlana Zoellner, J. Marius Karlsruhe Inst Technol KIT Karlsruhe Germany FZI Res Ctr Informat Technol Karlsruhe Germany
Understanding emotions and expressions is a task of interest across multiple disciplines, especially for improving user experiences. Contrary to the common perception, it has been shown that emotions are not discrete ... 详细信息
来源: 评论
SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers
SleepVST: Sleep Staging from Near-Infrared Video Signals usi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Carter, Jonathan F. Jorge, Joao Gibson, Oliver Tarassenkol, Lionel Univ Oxford Inst Biomed Engn Oxford England Oxehealth Ltd Oxford England
Advances in camera-based physiological monitoring have enabled the robust, non-contact measurement of respiration and the cardiac pulse, which are known to be indicative of the sleep stage. This has led to research in... 详细信息
来源: 评论
Fooling Polarization-based vision using Locally Controllable Polarizing Projection
Fooling Polarization-based Vision using Locally Controllable...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Zhuoxiao Zhong, Zhihang Nobuhara, Shohei Nishino, Ko Zheng, Yinqiang Univ Tokyo Tokyo Japan Shanghai Artificial Intelligence Lab Shanghai Peoples R China Kyoto Univ Kyoto Japan
Polarization is a fundamental property of light that encodes abundant information regarding surface shape, material, illumination and viewing geometry. The computer vision community has witnessed a blossom of polariza...
来源: 评论
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segm...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Yi Guo, Meng-Hao Wang, Miao Hu, Shi-Min Beihang Univ State Key Lab Virtual Real Technol & Syst SCSE Beijing Peoples R China Tsinghua Univ Dept Comp Sci & Technol BNRist Beijing Peoples R China Tsinghua Univ Beijing Peoples R China
CLIP has demonstrated marked progress in visual recognition due to its powerful pre-training on large-scale image-text pairs. However, it still remains a critical challenge: how to transfer image-level knowledge into ... 详细信息
来源: 评论
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with vision-Language Models
From Pixels to Graphs: Open-Vocabulary Scene Graph Generatio...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Rongjie Zhang, Songyang Lin, Dahua Chen, Kai He, Xuming ShanghaiTech Univ Sch Informat Sci & Technol Shanghai Peoples R China Shanghai AI Lab Shanghai Peoples R China Shanghai Engn Res Ctr Intelligent Vis & Imaging Shanghai Peoples R China
Scene graph generation (SGG) aims to parse a visual scene into an intermediate graph representation for down-stream reasoning tasks. Despite recent advancements, existing methods struggle to generate scene graphs with... 详细信息
来源: 评论
Potential Risk Localization via Weak Labeling out of Blind Spot
Potential Risk Localization via Weak Labeling out of Blind S...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Shimomura, Kota Hirakawa, Tsubasa Yamashita, Takayoshi Fujiyoshi, Hironobu Chubu Univ Kasugai Aichi Japan
Achieving fully autonomous driving requires not only understanding the current surrounding conditions but also predicting how objects that could lead to potential risks may change in the future. Predicting potential r... 详细信息
来源: 评论
Unlocking the Potential of Pre-trained vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
Unlocking the Potential of Pre-trained Vision Transformers f...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhou, Ziqin Xu, Hai-Ming Shu, Yangyang Liu, Lingqiao Univ Adelaide Adelaide SA Australia
The recent advent of pre-trained vision transformers has unveiled a promising property: their inherent capability to group semantically related visual concepts. In this paper, we explore to harnesses this emergent fea... 详细信息
来源: 评论
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action recognition
Part-aware Unified Representation of Language and Skeleton f...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhu, Anqi Ke, Qiuhong Gong, Mingming Bailey, James Univ Melbourne Melbourne Vic Australia Monash Univ Parkville Vic 3052 Australia Wellington Rd Clayton Vic 3800 Australia
While remarkable progress has been made on supervised skeleton-based action recognition, the challenge of zero-shot recognition remains relatively unexplored. In this paper, we argue that relying solely on aligning la... 详细信息
来源: 评论
Pseudo-label based unsupervised fine-tuning of a monocular 3D pose estimation model for sports motions
Pseudo-label based unsupervised fine-tuning of a monocular 3...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Suzuki, Tomohiro Tanaka, Ryota Takeda, Kazuya Fujii, Keisuke Nagoya Univ Nagoya Aichi Japan
Accurate motion capture is useful for sports motion analysis, but requires higher acquisition costs. Monocular or few camera multi-view pose estimation provides an accessible but less accurate alternative, especially ... 详细信息
来源: 评论