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Found 10 papers, 5 papers with code
TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation
This progress has improved the ability to detect complex patterns and security threats, as well as to test and optimize network performance.
An End-to-End Network for Upright Adjustment of Panoramic Images
Direction estimation estimates the tilt angle of the panoramic image.
Degree aware based adversarial graph convolutional networks for entity alignment in heterogeneous knowledge graph
This degree difference between equivalent entities poses a great challenge for entity alignment.
ezcox: An R/CRAN Package for Cox Model Batch Processing and Visualization
Cox analysis is a common clinical data analysis technique to link valuable variables to clinical outcomes including dead and relapse.
Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video
Compared with independent training, joint training can make full use of the geometric relationship between geometric elements and provide dynamic and static information of the scene.
Single upper limb pose estimation method based on improved stacked hourglass network
Using the stacked hourglass network model, a single-person upper limb skeleton key point detection model was designed. Deconvolution was employed to replace the up-sampling operation of the hourglass module in the original model, solving the problem of rough feature maps.
Occlusion Aware Unsupervised Learning of Optical Flow From Video
In this paper, we proposed an unsupervised learning method for estimating the optical flow between video frames, especially to solve the occlusion problem.
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
In light of this, in this paper we propose a wavelet-based neural network structure called multilevel Wavelet Decomposition Network (mWDN) for building frequency-aware deep learning models for time series analysis.
Vehicle Traffic Driven Camera Placement for Better Metropolis Security Surveillance
Security surveillance is one of the most important issues in smart cities, especially in an era of terrorism.
LSTM Neural Reordering Feature for Statistical Machine Translation
Artificial neural networks are powerful models, which have been widely applied into many aspects of machine translation, such as language modeling and translation modeling.
