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08/25/2023
AccFlow: Backward Accumulation for Long-Range Optical Flow
Recent deep learning-based optical flow estimators have exhibited impres...
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08/13/2023
FastLLVE: Real-Time Low-Light Video Enhancement with Intensity-Aware Lookup Table
Low-Light Video Enhancement (LLVE) has received considerable attention i...
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06/05/2023
Cheap-fake Detection with LLM using Prompt Engineering
The misuse of real photographs with conflicting image captions in news i...
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04/07/2023
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
Efficient automatic segmentation of multi-level (i.e. main and branch) p...
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07/29/2022
Exponential canonical correlation analysis with orthogonal variation
Canonical correlation analysis (CCA) is a standard tool for studying ass...
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05/16/2022
Optimizing the optimizer for data driven deep neural networks and physics informed neural networks
We investigate the role of the optimizer in determining the quality of t...
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11/11/2021
Exploiting the Power of Levenberg-Marquardt Optimizer with Anomaly Detection in Time Series
The Levenberg-Marquardt (LM) optimization algorithm has been widely used...
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06/01/2021
RAI-Net: Range-Adaptive LiDAR Point Cloud Frame Interpolation Network
LiDAR point cloud frame interpolation, which synthesizes the intermediat...
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01/23/2021
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer
Graphical models are commonly used to discover associations within gene ...
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09/15/2020
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image supe...
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08/20/2018
A Distribution Similarity Based Regularizer for Learning Bayesian Networks
Probabilistic graphical models compactly represent joint distributions b...
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08/01/2018
An AI Based Super Nodes Selection Algorithm in BlockChain Networks
In blockchain systems, especially cryptographic currencies such as Bitco...
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05/17/2018
A Formulation of Recursive Self-Improvement and Its Possible Efficiency
Recursive self-improving (RSI) systems have been dreamed of since the ea...
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04/18/2018
Bayesian estimation of a semiparametric recurrent event model with applications to the penetrance estimation of multiple primary cancers in Li-Fraumeni Syndrome
A common phenomenon in cancer syndromes is for an individual to have mul...
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02/10/2018
Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter
We propose an algorithm for a family of optimization problems where the ...
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12/08/2017
Bayesian Variable Selection For Survival Data Using Inverse Moment Priors
Efficient variable selection in high dimensional cancer genomic studies ...
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12/08/2017