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检索条件"机构=CAS Key Laboratory of Technology in Geo-Spatial Information Processing"
463 条 记 录,以下是181-190 订阅
排序:
Hierarchical co-segmentation of 3D point clouds for indoor scene
Hierarchical co-segmentation of 3D point clouds for indoor s...
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International Conference on Systems, Signals and Image processing, IWSSIP
作者: Yanting Lin CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei City China
Segmentation of point clouds has been studied under a variety of scenarios. However, the segmentation of scanned point clouds for a clustered indoor scene remains significantly challenging due to noisy and incomplete ... 详细信息
来源: 评论
Source-free Unsupervised Domain Adaptation for Blind Image Quality Assessment
arXiv
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arXiv 2022年
作者: Liu, Jianzhao Li, Xin An, Shukun Chen, Zhibo The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Existing learning-based methods for blind image quality assessment (BIQA) are heavily dependent on large amounts of annotated training data, and usually suffer from a severe performance degradation when encountering t... 详细信息
来源: 评论
Deep learning-based video coding: A review and a case study
arXiv
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arXiv 2019年
作者: Liu, Dong Li, Yue Lin, Jianping Li, Houqiang Wu, Feng CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
The past decade has witnessed great success of deep learning technology in many disciplines, especially in computer vision and image processing. However, deep learning-based video coding remains in its infancy. This p... 详细信息
来源: 评论
RC-CNN: Representation-Consistent Convolutional Neural Networks for Achieving Transformation Invariance
RC-CNN: Representation-Consistent Convolutional Neural Netwo...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Jun Gu Anfeng He Xinmei Tian CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei Anhui China
Convolutional neural networks (CNNs) are powerful and have achieved state-of-the-art performance in many visual recognition tasks. Despite their impressive performance, CNNs are still unable to remain invariant while ... 详细信息
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Learned fast HEVC intra coding
arXiv
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arXiv 2019年
作者: Chen, Zhibo Shi, Jun Li, Weiping CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
In High Efficiency Video Coding (HEVC), excellent rate-distortion (RD) performance is achieved in part by having a flexible quadtree coding unit (CU) partition and a large number of intra-prediction modes. Such an exc... 详细信息
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Quality assessment of stereoscopic 360-degree images from multi-viewports
arXiv
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arXiv 2019年
作者: Xu, Jiahua Luo, Ziyuan Zhou, Wei Zhang, Wenyuan Chen, Zhibo CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Objective quality assessment of stereoscopic panoramic images becomes a challenging problem owing to the rapid growth of 360-degree contents. Different from traditional 2D image quality assessment (IQA), more complex ... 详细信息
来源: 评论
VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision
arXiv
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arXiv 2023年
作者: Sheng, Xihua Li, Li Liu, Dong Li, Houqiang The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Almost all digital videos are coded into compact representations before being transmitted. Such compact representations need to be decoded back to pixels before being displayed to humans and – as usual – before bein... 详细信息
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LIRA: Lifelong image restoration from unknown blended distortions
arXiv
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arXiv 2020年
作者: Liu, Jianzhao Lin, Jianxin Li, Xin Zhou, Wei Liu, Sen Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Most existing image restoration networks are designed in a disposable way and catastrophically forget previously learned distortions when trained on a new distortion removal task. To alleviate this problem, we raise t... 详细信息
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Two-stream action recognition-oriented video super-resolution
arXiv
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arXiv 2019年
作者: Zhang, Haochen Liu, Dong Xiong, Zhiwei CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
We study the video super-resolution (SR) problem for facilitating video analytics tasks, e.g. action recognition, instead of for visual quality. The popular action recognition methods based on convolutional networks, ... 详细信息
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Efficient structure-preserving superpixel segmentation based on minimum spanning tree
Efficient structure-preserving superpixel segmentation based...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Yu Bai Xuejin Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei Anhui China
We propose a novel superpixel algorithm based on Minimum Spanning Tree (MST), to generate superpixels efficiently while strictly adhere to object boundaries. The MST, which built by gradually removing strong edges of ... 详细信息
来源: 评论