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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023"
3320 条 记 录,以下是251-260 订阅
排序:
SAM: Pushing the Limits of Saliency Prediction Models  31
SAM: Pushing the Limits of Saliency Prediction Models
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Cornia, Marcella Baraldi, Lorenzo Serra, Giuseppe Cmcidara, Rita Univ Modena & Reggio Emilia Modena Italy Univ Udine Udine Italy
The prediction of human eye fixations has been recently gaining a lot of attention thanks to the improvements shown by deep architectures. In our work, we go beyond classical feed-forward networks to predict saliency ... 详细信息
来源: 评论
X-MAN: Explaining multiple sources of anomalies in video
X-MAN: Explaining multiple sources of anomalies in video
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Szymanowicz, Stanislaw Charles, James Cipolla, Roberto Univ Cambridge Cambridge England
Our objective is to detect anomalies in video while also automatically explaining the reason behind the detector's response. In a practical sense, explainability is crucial for this task as the required response t... 详细信息
来源: 评论
Gated Recurrent Unit-Based RNN for Remote Photoplethysmography Signal Segmentation
Gated Recurrent Unit-Based RNN for Remote Photoplethysmograp...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sabour, Rita Meziati Benezeth, Yannick Univ Bourgogne Franche Comte Dijon France Univ Bourgogne Franche Comte ImViA Lab Dijon France
Remote Photoplethysmography (rPPG) enables quantifying blood volume variations in the skin tissues from an input video recording, using a regular RGB camera. Obtained pulse signals often contain noisy portions due to ... 详细信息
来源: 评论
Deep Image Compression with Latent Optimization and Piece-wise Quantization Approximation
Deep Image Compression with Latent Optimization and Piece-wi...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wu, Yuyang Qi, Zhiyang Zheng, Huiming Tao, Lvfang Gao, Wei Peking Univ Sch Elect & Comp Engn Shenzhen Grad Sch Shenzhen Peoples R China Peng Cheng Lab Shenzhen Peoples R China
Benefit from its capability of learning high-dimensional compact representation from raw data, the auto-encoders are widely used in various tasks of data compression. In particular, for deep image compression, auto-en... 详细信息
来源: 评论
Combining Magnification and Measurement for Non-Contact Cardiac Monitoring
Combining Magnification and Measurement for Non-Contact Card...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Nowara, Ewa M. McDuff, Daniel Veeraraghavan, Ashok Rice Univ Houston TX 77251 USA Microsoft Res Redmond WA USA
Deep learning approaches currently achieve the state-of-the-art results on camera-based vital signs measurement. One of the main challenges with using neural models for these applications is the lack of sufficiently l... 详细信息
来源: 评论
Trusting the computer in computer vision: A Privacy-Affirming Framework  30
Trusting the Computer in Computer Vision: A Privacy-Affirmin...
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30th ieee/cvf conference on computer vision and pattern recognition workshops (cvprw)
作者: Chen, Andrew Tzer-Yeu Biglari-Abhari, Morteza Wang, Kevin I-Kai Univ Auckland Dept Elect & Comp Engn Embedded Syst Res Grp Auckland New Zealand
The use of surveillance cameras continues to increase, ranging from conventional applications such as law enforcement to newer scenarios with looser requirements such as gathering business intelligence. Humans still p... 详细信息
来源: 评论
Neural Image Recolorization for Creative Domains
Neural Image Recolorization for Creative Domains
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Boyi Belongie, Serge Lim, Ser-nam Davis, Abe Cornell Univ Ithaca NY 14853 USA Univ Copenhagen Copenhagen Denmark Meta AI New York NY USA
We present a self-supervised approach to recolorization of images from design-oriented domains. Our approach can recolor images based on image exemplars or target color palettes provided by a user. In contrast with pr... 详细信息
来源: 评论
Scene Representation in Bird's-Eye View from Surrounding Cameras with Transformers
Scene Representation in Bird's-Eye View from Surrounding Cam...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Yun Zhang, Yu Gong, Zhan Zhu, Hong Inspur Elect Informat Ind Co Ltd Dept AI & HPC Beijing Peoples R China
Scene representation in the bird's-eye-view (BEV) coordinate frame provides a succinct and effective way to understand surrounding environments for autonomous vehicles and robotics. In this work, we present an end... 详细信息
来源: 评论
Benchmarking Zero-Shot recognition with vision-Language Models: Challenges on Granularity and Specificity
Benchmarking Zero-Shot Recognition with Vision-Language Mode...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xu, Zhenlin Zhu, Yi Deng, Siqi Mittal, Abhay Chen, Yanbei Wang, Manchen Favaro, Paolo Tighe, Joseph Modolo, Davide AWS AI Labs Seattle WA 98109 USA Boson AI Santa Clara CA 95054 USA Meta Menlo Pk CA USA
This paper presents novel benchmarks for evaluating vision-language models (VLMs) in zero-shot recognition, focusing on granularity and specificity. Although VLMs excel in tasks like image captioning, they face challe... 详细信息
来源: 评论
Self-Supervised Learning of Pose-Informed Latents
Self-Supervised Learning of Pose-Informed Latents
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jean, Raphael St-Charles, Pierre-Luc Pirk, Soren Brodeur, Simon Menya Solut Sherbrooke PQ Canada Mila Montreal PQ Canada AMLRT Montreal PQ Canada Google Res Mountain View CA USA
Siamese network architectures trained for self-supervised instance recognition can learn powerful visual representations that are useful in various tasks. Many such approaches maximize the similarity between represent... 详细信息
来源: 评论