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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops"
12859 条 记 录,以下是4801-4810 订阅
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ER3: A Unified Framework for Event Retrieval, recognition and Recounting  30
ER3: A Unified Framework for Event Retrieval, Recognition an...
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30th ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gao, Zhanning Hua, Gang Zhang, Dongqing Jojic, Nebojsa Wang, Le Xue, Jianru Zheng, Nanning Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian Shaanxi Peoples R China Microsoft Res Redmond WA USA
We develop a unified framework for complex event retrieval, recognition and recounting. The framework is based on a compact video representation that exploits the temporal correlations in image features. Our feature a... 详细信息
来源: 评论
End-to-End Deep Kronecker-Product Matching for Person Re-identification  31
End-to-End Deep Kronecker-Product Matching for Person Re-ide...
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31st ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shen, Yantao Xiao, Tong Li, Hongsheng Yi, Shuai Wang, Xiaogang Chinese Univ Hong Kong CUHK SenseTime Joint Lab Hong Kong Peoples R China SenseTime Res Hong Kong Peoples R China
Person re-identification aims to robustly measure similarities between person images. The significant variation of person poses and viewing angles challenges for accurate person re-identification. The spatial layout a... 详细信息
来源: 评论
Deep Deterministic Uncertainty: A New Simple Baseline
Deep Deterministic Uncertainty: A New Simple Baseline
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Mukhoti, Jishnu Kirsch, Andreas van Amersfoort, Joost Torr, Philip H. S. Gal, Yarin Univ Oxford Dept Comp Sci OATML Oxford England Univ Oxford Dept Engn Sci Torr Vis Grp Oxford England
Reliable uncertainty from deterministic single-forward pass models is sought after because conventional methods of uncertainty quantification are computationally expensive. We take two complex single-forward-pass unce... 详细信息
来源: 评论
Volumetric Environment Representation for vision-Language Navigation
Volumetric Environment Representation for Vision-Language Na...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Liu, Rui Wang, Wenguan Yan, Yi Zhejiang Univ CCAI ReLER Hangzhou Zhejiang Peoples R China
vision-language navigation (VLN) requires an agent to navigate through an 3D environment based on visual observations and natural language instructions. It is clear that the pivotal factor for successful navigation li... 详细信息
来源: 评论
Live Demonstration: PINK: Polarity-based Anti-flicker for Event Cameras
Live Demonstration: PINK: Polarity-based Anti-flicker for Ev...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Im, Gyubeom Park, Keunjoo Kim, Junseok Son, Bongki Shin, Seungchul Lee, Haechang Samsung Electronics 1-1 Samsungjeonja-ro Hwaseong-Si Korea Republic of
Dynamic vision Sensor (DVS) is an event sensor that asynchronously captures an event whenever there is a brightness change in the scene. However, due to the event sensor's high temporal resolution property, it is ... 详细信息
来源: 评论
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
BBAM: Bounding Box Attribution Map for Weakly Supervised Sem...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lee, Jungbeom Yi, Jihun Shin, Chaehun Yoon, Sungroh Seoul Natl Univ Dept Elect & Comp Engn Seoul South Korea Seoul Natl Univ ISRC INMC ASRI Seoul South Korea Seoul Natl Univ Inst Engn Res Seoul South Korea
Weakly supervised segmentation methods using bounding box annotations focus on obtaining a pixel-level mask from each box containing an object. Existing methods typically depend on a class-agnostic mask generator, whi... 详细信息
来源: 评论
Exclusivity-Consistency Regularized Multi-view Subspace Clustering  30
Exclusivity-Consistency Regularized Multi-view Subspace Clus...
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30th ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wang, Xiaobo Guo, Xiaojie Lei, Zhen Zhang, Changqing Li, Stan Z. Chinese Acad Sci Ctr Biometr & Secur Res Beijing Peoples R China Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Chinese Acad Sci IIE State Key Lab Informat Secur Beijing Peoples R China Tianjin Univ Sch Comp Sci & Technol Tianjin Peoples R China
Multi-view subspace clustering aims to partition a set of multi-source data into their underlying groups. To boost the performance of multi-view clustering, numerous subspace learning algorithms have been developed in... 详细信息
来源: 评论
MSCap: Multi-Style Image Captioning with Unpaired Stylized Text  32
MSCap: Multi-Style Image Captioning with Unpaired Stylized T...
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32nd ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Guo, Longteng Liu, Jing Yao, Peng Li, Jiangwei Lu, Hanqing Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing Peoples R China Univ Sci & Technol Beijing Beijing Peoples R China Huawei Devices Multimedia Dept Shenzhen Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
In this paper, we propose an adversarial learning network for the task of multi-style image captioning (MSCap) with a standard factual image caption dataset and a multi-stylized language corpus without paired images. ... 详细信息
来源: 评论
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Anomaly Detection in Video via Self-Supervised and Multi-Tas...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Georgescu, Mariana-Iuliana Barbalau, Antonio Ionescu, Radu Tudor Khan, Fahad Shahbaz Popescu, Marius Shah, Mubarak Univ Bucharest Bucharest Romania MBZ Univ Artificial Intelligence Abu Dhabi U Arab Emirates SecurifAI Bucharest Romania Univ Cent Florida Orlando FL 32816 USA
Anomaly detection in video is a challenging computer vision problem. Due to the lack of anomalous events at training time, anomaly detection requires the design of learning methods without full supervision. In this pa... 详细信息
来源: 评论
Augmentation Strategies for Learning with Noisy Labels
Augmentation Strategies for Learning with Noisy Labels
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Nishi, Kento Ding, Yi Rich, Alex Hollerer, Tobias Lynbrook High Sch San Jose CA 95129 USA Univ Calif Santa Barbara Santa Barbara CA 93106 USA
Imperfect labels are ubiquitous in real-world datasets. Several recent successful methods for training deep neural networks (DNNs) robust to label noise have used two primary techniques: filtering samples based on los... 详细信息
来源: 评论