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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3631-3640 订阅
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MultiNet++: Multi-stream feature aggregation and geometric loss strategy for multi-task learning  32
MultiNet++: Multi-stream feature aggregation and geometric l...
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32nd ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2019
作者: Chennupati, Sumanth Sistu, Ganesh Yogamani, Senthil Rawashdeh, Samir A Valeo North America United States Valeo Vision Systems University of Michigan-Dearborn United States
Multi-task learning is commonly used in autonomous driving for solving various visual perception tasks. It offers significant benefits in terms of both performance and computational complexity. Current work on multi-t... 详细信息
来源: 评论
Fine-Grained recognition in High-throughput Phenotyping
Fine-Grained Recognition in High-throughput Phenotyping
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Beichen Lyu Stuart D. Smith Keith A. Cherkauer Purdue University West Lafayette IN
Fine-Grained recognition aims to classify sub-category objects such as bird species and car models from imagery. In High-throughput Phenotyping, the required task is to classify individual plant cultivars to assist pl... 详细信息
来源: 评论
SOFEA: A Non-iterative and Robust Optical Flow Estimation Algorithm for Dynamic vision Sensors
SOFEA: A Non-iterative and Robust Optical Flow Estimation Al...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Weng Fei Low Zhi Gao Cheng Xiang Bharath Ramesh The N.1 Institute for Health National University of Singapore
We introduce the single-shot optical flow estimation algorithm (SOFEA) to non-iteratively compute the continuous-time flow information of events produced from bio-inspired cameras such as the dynamic vision sensor (DV... 详细信息
来源: 评论
A Video Compression Framework Using an Overfitted Restoration Neural Network
A Video Compression Framework Using an Overfitted Restoratio...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Gang He Chang Wu Lei Li Jinjia Zhou Xianglin Wang Yunfei Zheng Bing Yu Weiying Xie Xi’dian University Xi’an China Graduate School of Science and Engineering Hosei Univeristy Tokyo Japan Beijing Kuaishou Technology
Many existing deep learning based video compression approaches apply deep neural networks (DNNs) to enhance the decoded video by learning the mapping between decoded video and raw video (ground truth). The big challen... 详细信息
来源: 评论
Fake News Detection using Higher-order User to User Mutual-attention Progression in Propagation Paths
Fake News Detection using Higher-order User to User Mutual-a...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Rahul Mishra University of Stavanger Norway
Social media has become a very prominent source of news consumption. It brings forth multifaceted, multimodal and real-time information on a silver platter for the users. Fake news or rumor mongering on social media i... 详细信息
来源: 评论
3D human pose estimation from multi person stereo 360◦ scenes  32
3D human pose estimation from multi person stereo 360◦ scen...
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32nd ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2019
作者: Shere, M. Kim, H. Hilton, A. Centre for Vision Speech and Signal Processing University of Surrey United Kingdom
This paper presents a human tracking and 3D pose estimation algorithm for use with a pair of 360◦ cameras. We identify and track an individual throughout complex, multi-person scenes in both indoor and outdoor environ... 详细信息
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Constraint-Aware Importance Estimation for Global Filter Pruning under Multiple Resource Constraints
Constraint-Aware Importance Estimation for Global Filter Pru...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Yu-Cheng Wu Chih-Ting Liu Bo-Ying Chen Shao-Yi Chien NTU IoX Center National Taiwan University
Filter pruning is an efficient way to structurally remove the redundant parameters in convolutional neural network, where at the same time reduces the computation, memory storage and transfer cost. Recent state-of-the... 详细信息
来源: 评论
Multiple Transfer Learning and Multi-label Balanced Training Strategies for Facial AU Detection In the Wild
Multiple Transfer Learning and Multi-label Balanced Training...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Sijie Ji Kai Wang Xiaojiang Peng Jianfei Yang Zhaoyang Zeng Yu Qiao Nanyang Technological University Singapore ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Science Sun Yat-Sen University China
This paper 1 presents SIAT-NTU solution and results of facial action unit (AU) detection in the EmotiNet Challenge 2020. The task aims to detect 23 AUs from facial images in the wild, and its main difficulties lie in... 详细信息
来源: 评论
Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of Glaucoma
Glaucoma Precognition: Recognizing Preclinical Visual Functi...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Krati Gupta Anshul Thakur Michael Goldbaum Siamak Yousefi School of Computing & Electrical Engineering Indian Institute of Technology Mandi Mandi India Department of Ophthalmology University of California San Diego USA Department of Ophthalmology University of Tennessee Health Science Center Memphis USA
Deep archetypal analysis (DAA) has recently been proposed as an unsupervised approach for discovering latent structures in data. However, while a few approaches have used classical archetypal analysis (AA), DAA has no... 详细信息
来源: 评论
Learning feature representations for look-alike images  32
Learning feature representations for look-alike images
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32nd ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2019
作者: Takmaz, Ayça Probst, Thomas Paudel, Danda Pani van Gool, Luc Computer Vision Lab ETH Zürich Switzerland
Human perception of visual similarity relies on information varying from low-level features such as texture and color, to high-level features such as objects and elements. While generic features learned for image or f... 详细信息
来源: 评论