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检索条件"机构=the Multimedia and Visual Computing Lab"
64 条 记 录,以下是31-40 订阅
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Few-shot Object Detection on Remote Sensing Images
arXiv
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arXiv 2020年
作者: Deng, Jingyu Li, Xiang Fang, Yi Multimedia and Visual Computing Lab NYU Tandon and Abu Dhabi Department of Electrical and Computer Engineering NYU Tandon United States Department of Electrical and Computer Engineering NYU Abu Dhabi United Arab Emirates Multimedia and Visual Computing Lab NYU Tandon and Abu Dhabi Department of Electrical and Computer Engineering Abu Dhabi United Arab Emirates
In this paper, we deal with the problem of object detection on remote sensing images. Previous methods have developed numerous deep CNN-based methods for object detection on remote sensing images and the report remark... 详细信息
来源: 评论
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation
Few-Shot Learning of Part-Specific Probability Space for 3D ...
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Lingjing Wang Xiang Li Yi Fang NYU Multimedia and Visual Computing Lab New York University Abu Dhabi Abu Dhabi UAE New York University New York USA
Recently, deep neural networks are introduced as supervised discriminative models for the learning of 3D point cloud segmentation. Most previous supervised methods require a large number of training data with human an... 详细信息
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Unsupervised Deep Shape Descriptor With Point Distribution Learning
Unsupervised Deep Shape Descriptor With Point Distribution L...
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Yi Shi Mengchen Xu Shuaihang Yuan Yi Fang NYU Multimedia and Visual Computing Lab New York University Abu Dhabi Abu Dhabi UAE New York University New York USA
Deep learning models have achieved great success in supervised shape descriptor learning for 3D shape retrieval, classification, and correspondence. However, the unsupervised shape descriptor calculated via deep learn... 详细信息
来源: 评论
3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction
arXiv
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arXiv 2020年
作者: Yuan, Shuaihang Li, Xiang Tzes, Anthony Fang, Yi NYU Multimedia and Visual Computing Lab United States New York University Abu Dhabi United Arab Emirates New York University United States
In this paper, we deal with the problem to predict the future 3D motions of 3D object scans from previous two consecutive frames. Previous methods mostly focus on sparse motion prediction in the form of skeletons. Whi... 详细信息
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DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow
arXiv
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arXiv 2020年
作者: Yuan, Shuaihang Li, Xiang Fang, Yi NYU Multimedia and Visual Computing Lab United States New York University Abu Dhabi United Arab Emirates New York University United States
This paper deals with the problem of 3D tracking, i.e., to find dense correspondences in a sequence of time-varying 3D shapes. Despite deep learning approaches have achieved promising performance for pairwise dense 3D... 详细信息
来源: 评论
Robust Image Matching by Dynamic Feature Selection 0
arXiv
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arXiv 2020年
作者: Huang, Hao Fang, Yi Wang, Linging Li, Xiang Chen, Jianchun NYU Multimedia and Visual Computing Lab United States New York University United States New York University Abu Dhabi United Arab Emirates
Estimating dense correspondences between images is a long-standing image understanding task. Recent works introduce convolutional neural networks (CNNs) to extract high-level feature maps and find correspondences thro... 详细信息
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Active Crowd Analysis for Pandemic Risk Mitigation for Blind or visually Impaired Persons  16th
Active Crowd Analysis for Pandemic Risk Mitigation for Blind...
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Workshops held at the 16th European Conference on Computer Vision, ECCV 2020
作者: Shrestha, Samridha Lu, Daohan Tian, Hanlin Cao, Qiming Liu, Julie Rizzo, John-Ross Seiple, William H. Porfiri, Maurizio Fang, Yi NYU Multimedia and Visual Computing Lab Abu Dhabi and New York United Arab Emirates New York University Abu Dhabi Abu Dhabi129188 United Arab Emirates New York University New YorkNY10012 United States Lighthouse Guild New YorkNY10023 United States
During pandemics like COVID-19, social distancing is essential to combat the rise of infections. However, it is challenging for the visually impaired to practice social distancing as their low vision hinders them from... 详细信息
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3D meta-registration: Learning to learn registration of 3D point clouds
arXiv
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arXiv 2020年
作者: Wang, Lingjing Hao, Yu Li, Xiang Fang, Yi NYU Multimedia and Visual Computing Lab New York University Abu Dhabi Abu Dhabi United Arab Emirates New York University New York United States
Deep learning-based point cloud registration models are often generalized from extensive training over a large volume of data to learn the ability to predict the desired geometric transformation to register 3D point c... 详细信息
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Unsupervised partial point set registration via joint shape completion and registration
arXiv
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arXiv 2020年
作者: Li, Xiang Wang, Lingjing Fang, Yi NYU Multimedia and Visual Computing Lab NYU Tandon Abu Dhabi United Arab Emirates Department of Electrical and Computer Engineering NYU Tandon United States Department of Electrical and Computer Engineering NYU Abu Dhabi United Arab Emirates
We propose a self-supervised method for partial point set registration. While recent proposed learning-based methods have achieved impressive registration performance on the full shape observations, these methods most... 详细信息
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Learning Object-Specific Distance From a Monocular Image
Learning Object-Specific Distance From a Monocular Image
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International Conference on Computer Vision (ICCV)
作者: Jing Zhu Yi Fang NYU Multimedia and Visual Computing Lab USA New York University USA New York University Abu Dhabi UAE
Environment perception, including object detection and distance estimation, is one of the most crucial tasks for autonomous driving. Many attentions have been paid on the object detection task, but distance estimation... 详细信息
来源: 评论