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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171-180 订阅
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Stargazer: A Transformer-based Driver Action Detection System for Intelligent Transportation
Stargazer: A Transformer-based Driver Action Detection Syste...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liang, Junwei Zhu, He Zhang, Enwei Zhang, Jun Tencent Youtu Lab Shenzhen Peoples R China Tsinghua Univ Beijing Peoples R China
Distracted driver actions can be dangerous and cause severe accidents. Thus, it is important to detect and eliminate distracted driving behaviors on the road to save lives. To this end, we study driver action detectio... 详细信息
来源: 评论
Domain Adaptable Normalization for Semi-Supervised Action recognition in the Dark
Domain Adaptable Normalization for Semi-Supervised Action Re...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liang, Zixi Chen, Jiajun Chen, Rui Zheng, Bingbing Zhou, Mingyue Gao, Huaien Lin, Shan Guangzhou Xi Ma Informat Technol Co Guangzhou Peoples R China
Action recognition in the dark is gaining more and more attention with the rapid development of intelligent recognition applications in real-world applications, e.g. self-driving at night and night surveillance. Howev... 详细信息
来源: 评论
Revisiting the Receptive Field of Conv-GRU in DROID-SLAM
Revisiting the Receptive Field of Conv-GRU in DROID-SLAM
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bangunharcana, Antyanta Kim, Soohyun Kim, Kyung-Soo Korea Adv Inst Sci & Technol Daejeon South Korea
This work focuses on improving the Conv-GRU-based optical flow update within a DROID-SLAM framework. Prior optical flow models typically follow a UNet or coarse-to-fine architecture in order to extract long-range cros... 详细信息
来源: 评论
Self-Supervised Variable Rate Image Compression using Visual Attention
Self-Supervised Variable Rate Image Compression using Visual...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sinha, Abhishek Kumar Moorthi, S. Manthira Dhar, Debajyoti Space Applicat Ctr Signal & Image Proc Grp Ahmadabad Gujarat India
The recent success of self-supervised learning relies on its ability to learn the representations from self-defined pseudo-labels that are applied to several downstream tasks. Motivated by this ability, we present a d... 详细信息
来源: 评论
Simulated Quantization, Real Power Savings
Simulated Quantization, Real Power Savings
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: van Baalen, Mart Kahne, Brian Mahurin, Eric Kuzmin, Andrey Skliar, Andrii Nagel, Markus Blankevoort, Tijmen Qualcomm AI Res San Diego CA 92121 USA
Reduced precision hardware-based matrix multiplication accelerators are commonly employed to reduce power consumption of neural network inference. Multiplier designs used in such accelerators possess an interesting pr... 详细信息
来源: 评论
RDONet: Rate-Distortion Optimized Learned Image Compression with Variable Depth
RDONet: Rate-Distortion Optimized Learned Image Compression ...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Brand, Fabian Fischer, Kristian Kopte, Alexander Windsheimer, Marc Kaup, Andre Friedrich Alexander Univ Erlangen Nurnberg Multimedia Commun & Signal Proc Cauerstr 7 D-91058 Erlangen Germany
Rate-distortion optimization (RDO) is responsible for large gains in image and video compression. While RDO is a standard tool in traditional image and video coding, it is not yet widely used in novel end-to-end train... 详细信息
来源: 评论
Parallel Generative Adversarial Network for Third-person to First-person Image Generation
Parallel Generative Adversarial Network for Third-person to ...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Gaowen Latapie, Hugo Kilic, Ozkan Lawrence, Adam Cisco Res Emerging Technol & Incubat San Jose CA 95134 USA
Cross-view image generation has been recently proposed to generate images of one view from another dramatically different view. In this paper, we investigate third-person (exocentric) view to first-person (egocentric)... 详细信息
来源: 评论
Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting Completing M.C Escher's Print Gallery
Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting C...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cipolina-Kun, Lucia Caenazzo, Simone Mazzei, Gaston ML Collect San Francisco CA 94117 USA Riskcare Ltd London England Univ Paris Saclay CNRS LISN VENISE Team Orsay France
Digital art restoration has benefited from inpainting models to correct the degradation or missing sections of a painting. This work compares three current state-of-the art models for inpainting of large missing regio... 详细信息
来源: 评论
Boundary-aware Image Inpainting with Multiple Auxiliary Cues
Boundary-aware Image Inpainting with Multiple Auxiliary Cues
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yamashita, Yohei Shimosato, Kodai Ukita, Norimichi Toyota Technol Inst Nagoya Japan
Image inpainting (a.k.a. image completion) allows us to remove unexpected foreground objects from an observed image and to restore the removed region with background pixels. The performance of image inpainting is impr... 详细信息
来源: 评论
Pose Tutor: An Explainable System for Pose Correction in the Wild
Pose Tutor: An Explainable System for Pose Correction in the...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Dittakavi, Bhat Bavikadi, Divyagna Desai, Sai Vikas Chakraborty, Soumi Reddy, Nishant Balasubramanian, Vineeth N. Callepalli, Bharathi Sharma, Ayon IIT Hyderabad Hyderabad Telangana India Variance AI Hyderabad India
Under the new norm of working from home, demand for fitness from home is on the rise. Different exercise forms solve different fitness needs for different people. Yoga gives flexibility and relieves stress. Pilates st... 详细信息
来源: 评论