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Found 8 papers, 3 papers with code
Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction
In the rapidly evolving field of autonomous driving, accurate trajectory prediction is pivotal for vehicular safety.
Pose2Gaze: Generating Realistic Human Gaze Behaviour from Full-body Poses using an Eye-body Coordination Model
While generating realistic body movements, e. g., for avatars in virtual reality, is widely studied in computer vision and graphics, the generation of eye movements that exhibit realistic coordination with the body remains under-explored.
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse
Finally, a Decoder layer is employed to reconstruct the artifact-reduced EEG signal.
Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation
To achieve this, we treat the black-box model as a feature extractor and train a classifier with the augmented text data.
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting
The model constructs a city graph and a city group graph to model the spatial and latent dependencies between cities, respectively.
HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
Existing air quality forecasting methods cannot effectively model the diffusion processes of air pollutants between cities and monitoring stations, which may suddenly deteriorate the air quality of a region.
Recyclable Waste Identification Using CNN Image Recognition and Gaussian Clustering
Waste recycling is an important way of saving energy and materials in the production process.
Uncovering Sociological Effect Heterogeneity using Machine Learning
In this paper, we use causal trees to recursively partition the sample and uncover sources of treatment effect heterogeneity.
