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04/13/2023
Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention
Driver Monitoring Systems (DMSs) are crucial for safe hand-over actions ...
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03/27/2023
Nonparametric approaches for analyzing carbon emission: from statistical and machine learning perspectives
Linear regression models, especially the extended STIRPAT model, are rou...
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03/20/2023
Some novel aspects of quantile regression: local stationarity, random forests and optimal transportation
This paper is written for a Festschrift in honour of Professor Marc Hall...
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01/16/2023
Theoretical and computational aspects of robust optimal transportation, with applications to statistics and machine learning
Optimal transport (OT) theory and the related p-Wasserstein distance (W_...
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10/18/2022
Inception-Based Crowd Counting – Being Fast while Remaining Accurate
Recent sophisticated CNN-based algorithms have demonstrated their extrao...
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10/17/2022
Real-Time Driver Monitoring Systems through Modality and View Analysis
Driver distractions are known to be the dominant cause of road accidents...
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02/28/2022
FusionCount: Efficient Crowd Counting via Multiscale Feature Fusion
State-of-the-art crowd counting models follow an encoder-decoder approac...
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02/24/2022
Detecting change-points in noisy GPS time series with continuous piecewise structures
Detecting change-points in noisy data sequences with an underlying conti...
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03/01/2020
Optimal Constant-Weight Codes under l_1-Metric
Motivated by the duplication-correcting problem for data storage in live...
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02/25/2019
