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3D Gaussian Splatting for Real-Time Radiance Field Rendering [PDF]
ACM Transactions on Graphics, 2023 Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster ...
Bernhard Kerbl +3 more
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Are Transformers Effective for Time Series Forecasting? [PDF]
AAAI Conference on Artificial Intelligence, 2022 Recently, there has been a surge of Transformer-based solutions for the long-term time series forecasting (LTSF) task. Despite the growing performance over the past few years, we question the validity of this line of research in this work.
Ailing Zeng +3 more
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Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting [PDF]
AAAI Conference on Artificial Intelligence, 2020 Many real-world applications require the prediction of long sequence time-series, such as electricity consumption planning. Long sequence time-series forecasting (LSTF) demands a high prediction capacity of the model, which is the ability to capture ...
Haoyi Zhou +6 more
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The Large Scale Structure of Space-Time
, 2023 First published in 1973, this influential work discusses Einstein's General Theory of Relativity to show how two of its predictions arise: first, that the ultimate fate of many massive stars is to undergo gravitational collapse to form 'black holes'; and
S. Hawking, G. Ellis
semanticscholar +1 more source
CommIT Journal, 2022 The rapid and dangerous spread of COVID-19 has forced governments in various countries to provide information on patients’ medical records to the public in the context of prevention. Meanwhile, patients’ medical records are vital and confidential because
Andi Andi +3 more
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Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization [PDF]
IEEE International Conference on Computer Vision, 2017 Gatys et al. recently introduced a neural algorithm that renders a content image in the style of another image, achieving so-called style transfer.
Xun Huang, Serge J. Belongie
semanticscholar +1 more source
Sensitivity and Consistency Analysis of BDS-3 GEO Satellite Orbit Maneuver Detection
International Journal of Aerospace Engineering, 2023 In this study, 22 maneuvering events of C59 and C60 geostationary equatorial orbit (GEO) satellites of the BeiDou global navigation satellite system (BDS-3) in 2021 were detected and analyzed based on a time-differenced carrier phase velocity measurement
Yage Miao +6 more
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You Only Look Once: Unified, Real-Time Object Detection [PDF]
Computer Vision and Pattern Recognition, 2015 We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class ...
Joseph Redmon +3 more
semanticscholar +1 more source
Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2020 Background The ongoing outbreak of the recently emerged novel coronavirus (2019-nCoV) poses a challenge for public health laboratories as virus isolates are unavailable while there is growing evidence that the outbreak is more widespread than initially ...
V. Corman +23 more
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNN have reduced the running time of these detection networks, exposing region proposal computation as a ...
Shaoqing Ren +3 more
semanticscholar +1 more source