MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency

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In wearable-based human activity recognition (HAR) research, one of the major challenges is the large intra-class variability problem. The collected activity signal is often, if not always, coupled with noises or bias caused by personal, environmental, or ...

In airborne laser scanning a high-frequency trajectory solution is typically determined from inertial sensors and employed to directly geo-reference the acquired laser points. When low-cost MEMS inertial sensors are used, such as in lightweight unmanned ae ...

Image noise can often be accurately fitted to a Poisson-Gaussian distribution. However, estimating the distribution parameters from a noisy image only is a challenging task. Here, we study the case when paired noisy and noise-free samples are accessible. N ...

The dataset contains point clouds from 3D scans, reconstructed 3D data, and statistical data analysis, which are intended as complementary material for the publication "AR-assisted timber drilling with smart retrofitted tools". ...

Point clouds are among popular visual representations for immersive media. However, the vast amount of information generated during their acquisition requires effective compression for practical applications. Although relevant activities from standardizati ...

Usually the Arctic is relatively free of anthropogenic influence in summer, which means that particles from natural sources can be the most significant nuclei for cloud droplets. However, this is not the case during anomalously warm-air intrusions when the ...

Automated, ship-board flow cytometers provide high-resolution maps of phytoplankton composition over large swaths of the world's oceans. They therefore pave the way for understanding how environmental conditions shape community structure. Identification of ...

MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency

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Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition

On the benefit of concurrent adjustment of active and passive optical sensors with GNSS & raw inertial data

PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples

Supplementary material for "AR-assisted timber drilling with smart retrofitted tools"

On Block Prediction For Learning-Based Point Cloud Compression

Modeling Extreme Warm-Air Advection in the Arctic During Summer: The Effect of Mid-Latitude Pollution Inflow on Cloud Properties

A kernel‐based change detection method to map shifts in phytoplankton communities measured by flow cytometry