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检索条件"机构=the Multimedia and Visual Computing Lab"
64 条 记 录,以下是11-20 订阅
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Virtual-Reality Based Crisis Management Training for Teachers: An Overview of the VRTEACHER Project  23
Virtual-Reality Based Crisis Management Training for Teacher...
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23rd International Symposium on Computers in Education, SIIE 2021
作者: Stavroulia, Kalliopi Evangelia Aedo, Ignacio Diaz, Paloma Lanitis, Andreas Cyprus University of Technology Department of Multimedia and Graphic Arts Limassol Cyprus Universidad Carlos III de Madrid Computer Science Department Madrid Spain Cyprus University of Technology and CYENS Centre of Excellence Visual Media Computing Lab Department of Multimedia and Graphic Arts Limassol Cyprus
The coronavirus pandemic has created an educational crisis without precedent, posed new challenges, and highlighted the need for digital skills empowerment among teachers along with the use of technology-based approac... 详细信息
来源: 评论
3D-MetaConNet: Meta-learning for 3D Shape Classification and Segmentation
3D-MetaConNet: Meta-learning for 3D Shape Classification and...
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International Conference on 3D Imaging, Modeling, Processing, visualization and Transmission (3DIMPVT)
作者: Hao Huang Xiang Li Lingjing Wang Yi Fang NYU Multimedia and Visual Computing Lab USA New York University Abu Dhabi UAE
Supervised learning on 3D shapes are extensively studied by prior literature, among which PointNet [29] and its variants PointNet++ [31] are representatives. However, these methods tackle 3D shape learning problems by... 详细信息
来源: 评论
Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance
Understanding the Impact of Image Quality and Distance of Ob...
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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Yu Hao Haoyang Pei Yixuan Lyu Zhongzheng Yuan John-Ross Rizzo Yao Wang Yi Fang NYU Multimedia and Visual Computing Lab NYU Tandon and NYU Abu Dhabi NYU Tandon School of Engineering New York University USA NYU Langone Health USA NYUAD Center for Artificial Intelligence and Robotics NYU Abu Dhabi UAE
Object detection is a fundamental task for autonomous driving, which aim to identify and localize objects within an image. Deep learning has made great strides for object detection, with popular models including Faste...
来源: 评论
Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance
arXiv
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arXiv 2022年
作者: Hao, Yu Pei, Haoyang Lyu, Yixuan Yuan, Zhongzheng Rizzo, John-Ross Wang, Yao Fang, Yi NYU Multimedia and Visual Computing Lab NYU Tandon School of Engineering New York University USA New York University Abu Dhabi UAE NYU Langone Health USA
Deep learning has made great strides for object detection in images, with popular models including Faster R-CNN, YOLO, and SSD. The detection accuracy and computational cost of object detection depend on the spatial r... 详细信息
来源: 评论
Meta-Learning 3D Shape Segmentation Functions
arXiv
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arXiv 2021年
作者: Hao, Yu Huang, Hao Yuan, Shuaihang Fang, Yi NYU Multimedia and Visual Computing Lab New York University Abu Dhabi Abu Dhabi United Arab Emirates
Learning robust 3D shape segmentation functions with deep neural networks has emerged as a powerful paradigm, offering promising performance in producing a consistent part segmentation of each 3D shape. Generalizing a... 详细信息
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ROSS: Robust Learning of One-Shot 3D Shape Segmentation
ROSS: Robust Learning of One-Shot 3D Shape Segmentation
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IEEE Workshop on Applications of Computer Vision (WACV)
作者: Shuaihang Yuan Yi Fang NYU Multimedia and Visual Computing Lab USA
3D shape segmentation is a fundamental computer vision task that partitions the object into labeled semantic parts. Recent approaches to 3D shape segmentation learning heavily rely on high-quality labeled training dat... 详细信息
来源: 评论
Pyramid Learnable Tokens for 3D LiDAR Place Recognition
Pyramid Learnable Tokens for 3D LiDAR Place Recognition
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Congcong Wen Hao Huang Yu-Shen Liu Yi Fang NYUAD Center for Artificial Intelligence and Robotics New York University Abu Dhabi UAE NYU Multimedia and Visual Computing Lab New York University USA New York University Abu Dhabi UAE School of Software Tsinghua University Beijing P. R. China
3D LiDAR place recognition plays a vital role in various robot applications' including robotic navigation, autonomous driving, and simultaneous localization and mapping. However, most previous studies evaluated th...
来源: 评论
Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision
arXiv
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arXiv 2022年
作者: Hao, Yu Feng, Junchi Rizzo, John-Ross Wang, Yao Fang, Yi Nyu Multimedia and Visual Computing Lab Nyu Tandon School of Engineering New York University United States New York University Abu Dhabi United Arab Emirates Nyu Langone Health United States
People with blindness and low vision (pBLV) experience significant challenges when locating final destinations or targeting specific objects in unfamiliar environments. Furthermore, besides initially locating and orie... 详细信息
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MDA-Net: Memorable Domain Adaptation Network for Monocular Depth Estimation  31
MDA-Net: Memorable Domain Adaptation Network for Monocular D...
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31st British Machine Vision Conference, BMVC 2020
作者: Zhu, Jing Shi, Yunxiao Ren, Mengwei Fang, Yi NYU Multimedia and Visual Computing Lab United States New York University United States New York University Abu Dhabi United Arab Emirates
Monocular depth estimation is a challenging task that aims to predict a corresponding depth map from a given single RGB image. Recent deep learning models have been proposed to predict the depth from the image by lear... 详细信息
来源: 评论
Robust Image Matching By Dynamic Feature Selection  31
Robust Image Matching By Dynamic Feature Selection
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31st British Machine Vision Conference, BMVC 2020
作者: Huang, Hao Chen, Jianchun Li, Xiang Wang, Linging Fang, Yi 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
来源: 评论