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检索条件"任意字段=2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024"
4655 条 记 录,以下是1131-1140 订阅
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GRIB: Combining Global Reception and Inductive Bias For Human Segmentation and Matting
GRIB: Combining Global Reception and Inductive Bias For Huma...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Yezhi Shen Weichen Xu Qian Lin Jan P. Allebach Fengqing Zhu Purdue University West Lafayette IN USA HP Inc Palo Alto CA USA
Human video segmentation and matting are challenging computer vision tasks, with many applications such as background replacement or background editing. Numerous methods have been proposed for human segmentation and m... 详细信息
来源: 评论
Finding AI-Generated Faces in the Wild
Finding AI-Generated Faces in the Wild
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Gonzalo J. Aniano Porcile Jack Gindi Shivansh Mundra James R. Verbus Hany Farid LinkedIn Sunnyvale CA USA University of California Berkeley Berkeley CA USA
AI-based image generation has continued to rapidly improve, producing increasingly more realistic images with fewer obvious visual flaws. AI-generated images are being used to create fake online profiles which in turn... 详细信息
来源: 评论
Emotion recognition Using Transformers with Random Masking
Emotion Recognition Using Transformers with Random Masking
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Seongjae Min Junseok Yang Sejoon Lim Kookmin University Korea
In recent years, deep learning has achieved innovative advancements in various fields, including the analysis of human emotions and behaviors. Initiatives such as the Affective Behavior Analysis in-the-wild (ABAW) com... 详细信息
来源: 评论
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for ...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Davide Caffagni Federico Cocchi Nicholas Moratelli Sara Sarto Marcella Cornia Lorenzo Baraldi Rita Cucchiara University of Modena and Reggio Emilia Italy University of Pisa Italy IIT-CNR Italy
Multimodal LLMs are the natural evolution of LLMs, and enlarge their capabilities so as to work beyond the pure textual modality. As research is being carried out to design novel architectures and vision-and-language ... 详细信息
来源: 评论
Multi-scale Attention-Based Inclination Angles Estimation for Panoramic Camera
Multi-scale Attention-Based Inclination Angles Estimation fo...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Yuhao Shan Heyu Chen Jiaying Zhang Shigang Li Jianfeng Li Southwest University Chongqing China Hiroshima City University Hiroshima Japan
Images taken by panoramic cameras in the upright posture can give viewers a better sense and make the downstream panoramic image-based computer vision tasks easier. To estimate the inclination angles of panoramic came... 详细信息
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Contactless Respiratory Rate Monitoring For ICU Patients Based On Unsupervised Learning
Contactless Respiratory Rate Monitoring For ICU Patients Bas...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Liu, Zimeng Huang, Bin Lin, Chun-Liang Wu, Chieh-Liang Zhao, Changchen Chao, Wen-Cheng Wu, Yu-Cheng Zheng, Yadan Wang, Zhiru Beihang University Hangzhou Innovataion Institute China Beihang University School of Automation Science and Electrical Engineering China National Chung Hsing University College of Electrical Engineering and Computer Science Taiwan Taichung Veterans General Hospital Department of Critical Care Medicine Taiwan National Chung Hsing University College of Medicine Department of Post-Baccalaureate Medicine Taiwan National Chung Hsing University Big Data Center Taiwan Beijing University of Posts and Telecommunications Computer Science School China Beijing Foreign Studies University Graduate School of Translation and Interpretation China
Recently, the task of contactless physiological signal monitoring based on deep learning technologies has attracted a large number of scholars. However, few studies focus on the application of real-world scenarios, es... 详细信息
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An analysis of best-practice strategies for replay and rehearsal in continual learning
An analysis of best-practice strategies for replay and rehea...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Alexander Krawczyk Alexander Gepperth Applied Computer Science Department University of Applied Sciences Fulda Fulda Germany
This study is in the context of class-incremental continual learning using replay, which has seen notable progress in recent years, fueled by concepts like conditional, latent or maximally interfered replay. However, ... 详细信息
来源: 评论
Event-based Ball Spin Estimation in Sports
Event-based Ball Spin Estimation in Sports
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Takuya Nakabayashi Kyota Higa Masahiro Yamaguchi Ryo Fujiwara Hideo Saito Keio University Yokohama Japan NEC Corporation Kawasaki Japan
Ball spin estimation in sports is important for analyzing the game. Since spin is generally too fast to be captured by a conventional camera, a high-speed camera is often used to capture images of the ball and estimat... 详细信息
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BiMAE - A Bimodal Masked Autoencoder Architecture for Single-Label Hyperspectral Image Classification
BiMAE - A Bimodal Masked Autoencoder Architecture for Single...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Maksim Kukushkin Martin Bogdan Thomas Schmid Leipzig University Leipzig Martin Luther University Halle-Wittenberg Halle (Saale)
Hyperspectral imaging offers manifold opportunities for applications that may not, or only partially, be achieved within the visual spectrum. Our paper presents a novel approach for Single-Label Hyperspectral Image Cl... 详细信息
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Temporal surface frame anomalies for deepfake video detection
Temporal surface frame anomalies for deepfake video detectio...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Andrea Ciamarra Roberto Caldelli Alberto Del Bimbo University of Florence Florence Italy Universitas Mercatorum Rome Italy CNIT Florence Italy
Looking at a video sequence where a foreground person is represented is not as time ago anymore. Deepfakes have revolutionized our way to watch at such contents and nowadays we are more often used to wonder if what we... 详细信息
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