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检索条件"任意字段=2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022"
3917 条 记 录,以下是3671-3680 订阅
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Discriminant Distribution-Agnostic Loss for Facial Expression recognition in the Wild
Discriminant Distribution-Agnostic Loss for Facial Expressio...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Amir Hossein Farzaneh Xiaojun Qi Department of Computer Science Utah State University Logan UT USA
Facial Expression recognition (FER) has demonstrated remarkable progress due to the advancement of deep Convolutional Neural Networks (CNNs). FER's goal as a visual recognition problem is to learn a mapping from t... 详细信息
来源: 评论
PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model
PointPrompt: A Multi-modal Prompting Dataset for Segment Any...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Jorge Quesada Mohammad Alotaibi Mohit Prabhushankar Ghassan AlRegib OLIVES Lab Georgia Institute of Technology Atlanta GA USA
The capabilities of foundation models, most recently the Segment Anything Model, have gathered a large degree of attention for providing a versatile framework for tackling a wide array of image segmentation tasks. How... 详细信息
来源: 评论
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS Camera
DemosaicFormer: Coarse-to-Fine Demosaicing Network for Hybri...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Senyan Xu Zhijing Sun Jiaying Zhu Yurui Zhu Xueyang Fu Zheng-Jun Zha University of Science and Technology of China
Hybrid Event-Based vision Sensor (HybridEVS) is a novel sensor integrating traditional frame-based and event-based sensors, offering substantial benefits for applications requiring low-light, high dynamic range, and l... 详细信息
来源: 评论
Latent Flow Diffusion for Deepfake Video Generation
Latent Flow Diffusion for Deepfake Video Generation
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Aashish Chandra K Aashutosh A V Srijan Das Abhijit Das Birla Institute of Technology & Science Pilani India University of North Carolina Charlotte USA
Image-to-video generation with conditional identity swap popularly known as deepfake, aims to synthesize a new video for the target identity guided by an image of the target and a video of the source identity. The big... 详细信息
来源: 评论
Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models
Exploring Real World Map Change Generalization of Prior-Info...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Samuel M. Bateman Ning Xu H. Charles Zhao Yael Ben Shalom Vince Gong Greg Long Will Maddern Nuro Inc.
Building and maintaining High-Definition (HD) maps represents a large barrier to autonomous vehicle deployment. This, along with advances in modern online map detection models, has sparked renewed interest in the onli... 详细信息
来源: 评论
Deep Anchored Convolutional Neural Networks
Deep Anchored Convolutional Neural Networks
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Jiahui Huang Kshitij Dwivedi Gemma Roig Singapore University of Technology and Design
Convolutional Neural Networks (CNNs) have been proven to be extremely successful at solving computer vision tasks. State-of-the-art methods favor such deep network architectures for its accuracy performance, with the ... 详细信息
来源: 评论
MultiPanoWise: holistic deep architecture for multi-task dense prediction from a single panoramic image
MultiPanoWise: holistic deep architecture for multi-task den...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Uzair Shah Muhammad Tukur Mahmood Alzubaidi Giovanni Pintore Enrico Gobbetti Mowafa Househ Jens Schneider Marco Agus ICT Division College of Science and Engineering Hamad Bin Khalifa University Doha Qatar Visual and Data-Intensive Computing CRS4 Italy National Research Center in HPC Big Data and Quantum Computing Italy
We present a novel holistic deep-learning approach for multi-task learning from a single indoor panoramic image. Our framework, named MultiPanoWise, extends vision transformers to jointly infer multiple pixel-wise sig... 详细信息
来源: 评论
Tackling Domain Shifts in Person Re-Identification: A Survey and Analysis
Tackling Domain Shifts in Person Re-Identification: A Survey...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Vuong D. Nguyen Samiha Mirza Abdollah Zakeri Ayush Gupta Khadija Khaldi Rahma Aloui Pranav Mantini Shishir K. Shah Fatima Merchant University of Houston Johns Hopkins University
The necessity for a Person ReID system for rapidly evolving urban surveillance applications is severely challenged by domain shifts—variations in data distribution that occur across different environments or times. I... 详细信息
来源: 评论
ELSA: Exploiting Layer-wise N:M Sparsity for vision Transformer Acceleration
ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transfor...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Ning-Chi Huang Chi-Chih Chang Wei-Cheng Lin Endri Taka Diana Marculescu Kai-Chiang Wu National Yang Ming Chiao Tung University University of Texas at Austin
N:M sparsity is an emerging model compression method supported by more and more accelerators to speed up sparse matrix multiplication in deep neural networks. Most existing N:M sparsity methods compress neural network... 详细信息
来源: 评论
Vim4Path: Self-Supervised vision Mamba for Histopathology Images
Vim4Path: Self-Supervised Vision Mamba for Histopathology Im...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Ali Nasiri-Sarvi Vincent Quoc-Huy Trinh Hassan Rivaz Mahdi S. Hosseini Department of Computer Science and Software Engineering (CSSE) Concordia University Canada Institute for Research in Immunology and Cancer of the University of Montreal Canada Department of Electrical and Computer Engineering (ECE) Concordia University Canada
Representation learning from Gigapixel Whole Slide Images (WSI) poses a significant challenge in computational pathology due to the complicated nature of tissue structures and the scarcity of labeled data. Multi-insta... 详细信息
来源: 评论