Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

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Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Chat with Graph Search

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Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Enabling Uncertainty Estimation in Iterative Neural Networks

Incorporating Projective Geometry into Deep Learning

Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance

Network time series forecasting in photovoltaics power production

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Data for Paper "Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning"

Robust machine learning for neuroscientific inference

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Machine Learning for Modeling Stock Returns

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Sparse autoregressive neural networks for classical spin systems

Safe Deep Neural Networks

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Random matrix methods for high-dimensional machine learning models