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检索条件"任意字段=2006 Conference on Computer Vision and Pattern Recognition Workshops"
5506 条 记 录,以下是4691-4700 订阅
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PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection
PUDD: Towards Robust Multi-modal Prototype-based Deepfake De...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Alvaro Lopez Pellcier Yi Li Plamen Angelov School of Computing and Communications Lancaster University
Deepfake techniques generate highly realistic data, making it challenging for humans to discern between actual and artificially generated images. Recent advancements in deep learning-based deepfake detection methods, ... 详细信息
来源: 评论
Fully Test-time Adaptation for Object Detection
Fully Test-time Adaptation for Object Detection
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Xiaoqian Ruan Wei Tang University of Illinois Chicago
Though the object detection performance on standard benchmarks has been improved drastically in the last decade, current object detectors are often vulnerable to domain shift between the training data and testing imag... 详细信息
来源: 评论
Learnable Global Spatio-Temporal Adaptive Aggregation for Bracketing Image Restoration and Enhancement
Learnable Global Spatio-Temporal Adaptive Aggregation for Br...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Xinwei Dai Yuanbo Zhou Xintao Qiu Hui Tang Wei Deng Qingquan Gao Tong Tong Fuzhou University Imperial Vision Technology
Employing specific networks to address different types of degradation often proved to be complex and time-consuming in practical applications. The Bracket Image Restoration and Enhancement (BIRE) aimed to address vari... 详细信息
来源: 评论
Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook
Scaling up biologically-inspired computer vision: A case stu...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Nicolas Pinto Zak Stone Todd Zickler David Cox McGovern Institute of Brain Research MIT Cambridge MA USA Rowland Institute at Harvard Harvard University Cambridge MA USA School of Engineering and Applied Sciences Harvard University Cambridge MA USA
Biological visual systems are currently unrivaled by artificial systems in their ability to recognize faces and objects in highly variable and cluttered real-world environments. Biologically-inspired computer vision s... 详细信息
来源: 评论
Medium level scene representation using a VLSI smart hexagonal sensor with multiresolution edge extraction capability and scale space integration processing
Medium level scene representation using a VLSI smart hexagon...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Tremblay Savard Poussart Computer Vision and Digital Systems Laboratory Department of Electrical Engineering Laval University QUE Canada
This paper presents a sensing approach where photo-transduction, multi-resolution feature extraction, scale-space integration and edge tracking are performed on a mixed (digital-analog) VLSI architecture in order to g... 详细信息
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Cross-view Aggregation Network For Stereo Image Super-Resolution
Cross-view Aggregation Network For Stereo Image Super-Resolu...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Zhitao Chen Tao Lu Kanghui Zhao Bolin Zhu Zhen Li Jiaming Wang Yanduo Zhang Hubei Key Laboratory of Intelligent Robot Wuhan Institute of Technology
Although stereo image super-resolution has been extensively studied, many existing works only rely on attention in a single epipolar direction to reconstruct stereo images. In the case of asymmetric parallax images, t... 详细信息
来源: 评论
Facial Expression recognition using Auto-regressive Models
Facial Expression Recognition using Auto-regressive Models
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International conference on pattern recognition
作者: F. Dornaika F. Davoine Computer Vision Center Barcelona Spain HEUDIASYC Mixed Research Unit CNRS/UTC Compiegne France
In this paper, we address the analysis and recognition of facial expressions in continuous videos. We introduce a view- and texture-independent approach that exploits the temporal facial action parameters estimated by... 详细信息
来源: 评论
Sensor Equivariance: A Framework for Semantic Segmentation with Diverse Camera Models
Sensor Equivariance: A Framework for Semantic Segmentation w...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Hannes Reichert Manuel Hetzel Andreas Hubert Konrad Doll Bernhard Sick University of Applied Sciences Aschaffenburg Germany University of Kassel Germany
Objects are represented differently in projection-based sensors such as cameras depending on sensor resolution, field of view, and distortion, leading to distorted physical and geometric properties. As a result, senso... 详细信息
来源: 评论
SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-Image Translation while Maintaining Stereo Constraint
SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Vasudha Venkatesan Daniel Panangian Mario Fuentes Reyes Ksenia Bittner University of Freiburg German Aerospace Center (DLR)
In the field of remote sensing, the scarcity of stereo-matched and particularly lack of accurate ground truth data often hinders the training of deep neural networks. The use of synthetically generated images as an al... 详细信息
来源: 评论
Trust Your IMU: Consequences of Ignoring the IMU Drift
Trust Your IMU: Consequences of Ignoring the IMU Drift
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Marcus Valtonen Ö rnhag Patrik Persson rten Wadenbä ck Kalle Å strö m Anders Heyden Centre for Mathematical Sciences Lund University Department of Electrical Engineering Link&#x00F6 ping University
In this paper, we argue that modern pre-integration methods for inertial measurement units (IMUs) are accurate enough to ignore the drift for short time intervals. This allows us to consider a simplified camera model,... 详细信息
来源: 评论