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检索条件"任意字段=IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops"
8962 条 记 录,以下是121-130 订阅
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations
Deep Prototypical-Parts Ease Morphological Kidney Stone Iden...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Flores-Araiza, Daniel Lopez-Tiro, Francisco El-Beze, Jonathan Hubert, Jacques Gonzalez, Miguel Ruiz, Gilberto Ochoa Daul, Christian Tecnol Monterrey Sch Engn Mexico City DF Mexico CHU Nancy Serv Urol Brabois Nancy France Univ Lorraine CRAN UMR 7039 Nancy France
Identifying the type of kidney stones can allow urologists to determine their cause of formation, improving the prescription of appropriate treatments to diminish future relapses. Currently, the associated ex-vivo dia... 详细信息
来源: 评论
A case for using rotation invariant features in state of the art feature matchers
A case for using rotation invariant features in state of the...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bokman, Georg Kahl, Fredrik Chalmers Univ Technol Gothenburg Sweden
The aim of this paper is to demonstrate that a state of the art feature matcher (LoFTR) can be made more robust to rotations by simply replacing the backbone CNN with a steerable CNN which is equivariant to translatio... 详细信息
来源: 评论
KBody: Balanced monocular whole-body estimation
KBody: Balanced monocular whole-body estimation
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2023 ieee/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Zioulis, Nikolaos O'Brien, James F. Klothed Technologies Inc. United States Uc Berkeley United States
KBody is a method for fitting a low-dimensional body model to an image. It follows a predict-and-optimize approach, relying on data-driven model estimates for the constraints that will be used to solve for the body... 详细信息
来源: 评论
Bridging the Gap Between Automated and Human Facial Emotion Perception
Bridging the Gap Between Automated and Human Facial Emotion ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Stratton, Derek Hand, Emily Univ Nevada Reno Reno NV 89557 USA
Understanding the complex relationship between emotions and facial expressions is important for both psychologists and computer scientists. A large body of research in psychology investigates facial expressions, emoti... 详细信息
来源: 评论
Importance is in your attention: agent importance prediction for autonomous driving
Importance is in your attention: agent importance prediction...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hazard, Christopher Bhagat, Akshay Buddharaju, Balarama Raju Liu, Zhongtao Shao, Yunming Lu, Lu Omari, Sammy Cui, Henggang Motional Boston MA 02210 USA
Trajectory prediction is an important task in autonomous driving. State-of-the-art trajectory prediction models often use attention mechanisms to model the interaction between agents. In this paper, we show that the a... 详细信息
来源: 评论
vision + Language Applications: A Survey
Vision + Language Applications: A Survey
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2023 ieee/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Zhou, Yutong Shimada, Nobutaka Ritsumeikan University Shiga Japan
Text-to-image generation has attracted significant interest from researchers and practitioners in recent years due to its widespread and diverse applications across various industries. Despite the progress made in the...
来源: 评论
Persistent-Transient Duality in Human Behavior Modeling
Persistent-Transient Duality in Human Behavior Modeling
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hung Tran Vuong Le Venkatesh, Svetha Truyen Tran Deakin Univ Appl AI Inst Geelong Vic Australia
We propose to model the persistent-transient duality in human behavior using a parent-child multi-channel neural network, which features a parent persistent channel that manages the global dynamics and children transi... 详细信息
来源: 评论
Privacy Leakage of Adversarial Training Models in Federated Learning Systems
Privacy Leakage of Adversarial Training Models in Federated ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Jingyang Chen, Yiran Li, Hai Duke Univ Dept Elect & Comp Engn Durham NC 27706 USA
Adversarial Training (AT) is crucial for obtaining deep neural networks that are robust to adversarial attacks, yet recent works found that it could also make models more vulnerable to privacy attacks. In this work, w... 详细信息
来源: 评论
Variational Autoencoders for Generating Hyperspectral Imaging Honey Adulteration Data
Variational Autoencoders for Generating Hyperspectral Imagin...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Phillips, Tessa Abdulla, Waleed Univ Auckland Auckland New Zealand
Honey fraud and adulteration are an increasing concern globally. Hyperspectral imaging and machine learning can detect adulterated honey within a known set of honey, where we have captured data at different sugar conc... 详细信息
来源: 评论
User-Guided Variable Rate Learned Image Compression
User-Guided Variable Rate Learned Image Compression
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gupta, Rushil Suryateja, B., V Kapoor, Nikhil Jaiswal, Rajat Nangi, Sharmila Kulkarni, Kuldeep Adobe Res Bengaluru India Indian Inst Technol Delhi Delhi India Stanford Univ Stanford CA 94305 USA
We propose a learning-based image compression method that achieves any arbitrary input bitrate via user-guided bit allocation to preferred regions. We verify our hypothesis of incorporating user guidance for bitrate c... 详细信息
来源: 评论