Benchmarking chinese text recognition: Datasets, baselines, and an empirical study
The flourishing blossom of deep learning has witnessed the rapid development of text
recognition in recent years. However, the existing text recognition methods are mainly …
recognition in recent years. However, the existing text recognition methods are mainly …
Mtrajrec: Map-constrained trajectory recovery via seq2seq multi-task learning
With the increasing adoption of GPS modules, there are a wide range of urban applications
based on trajectory data analysis, such as vehicle navigation, travel time estimation, and …
based on trajectory data analysis, such as vehicle navigation, travel time estimation, and …
Text gestalt: Stroke-aware scene text image super-resolution
In the last decade, the blossom of deep learning has witnessed the rapid development of
scene text recognition. However, the recognition of low-resolution scene text images …
scene text recognition. However, the recognition of low-resolution scene text images …
Region-aware hierarchical graph contrastive learning for ride-hailing driver profiling
Driver profiling, which is the process of extracting driver preferences and behavioral patterns
from collected driving data, can be performed on a microscopic or macroscopic scale …
from collected driving data, can be performed on a microscopic or macroscopic scale …
Detecting fake news on Chinese social media based on hybrid feature fusion method
H Wang, S Wang, YH Han - Expert Systems with Applications, 2022 - Elsevier
With the rapid growth of the scale of social media information, it is getting more and more
difficult for social media to detect fake news by using manual review. The spread of fake …
difficult for social media to detect fake news by using manual review. The spread of fake …
Self-supervised pre-training for robust and generic spatial-temporal representations
Advancements in mobile sensing, data mining, and artificial intelligence have revolutionized
the collection and analysis of Human-generated Spatial-Temporal Data (HSTD), paving the …
the collection and analysis of Human-generated Spatial-Temporal Data (HSTD), paving the …
A traffic data interpolation method for IoT sensors based on spatio-temporal dependence
Missing traffic data collected by IoT sensors is a common issue. Having complete traffic data
can help people with their studies and work in real world. A spatio-temporal enhanced k …
can help people with their studies and work in real world. A spatio-temporal enhanced k …
Stroke-based autoencoders: Self-supervised learners for efficient zero-shot Chinese character recognition
Z Chen, W Yang, X Li - Applied Sciences, 2023 - mdpi.com
Chinese characters carry a wealth of morphological and semantic information; therefore,
zero-shot Chinese character recognition with the morphology of Chinese characters has …
zero-shot Chinese character recognition with the morphology of Chinese characters has …
: Adversarial Driving Style Representation Learning With Data Augmentation
Characterizing human driver's driving behaviors from global positioning system (GPS)
trajectories is an important yet challenging trajectory mining task. Previous works heavily …
trajectories is an important yet challenging trajectory mining task. Previous works heavily …
Reinforced feature extraction and multi-resolution learning for driver mobility fingerprint identification
Taking into account the availability of the historical GPS trajectories of drivers, given a new
GPS trajectory, Driver mobility fingerprint (DMF) identification aims at (i) determining whether …
GPS trajectory, Driver mobility fingerprint (DMF) identification aims at (i) determining whether …