Deep Learning Fusion of Monocular and Stereo Depth Maps Using Convolutional Neural Networks

A Domain Decompositionbased CNN Architecture for High-Resolution Image Segmentation

Learn & drop: Fast learning of cnns based on layer dropping

Grasp recognition with spatiotemporal deep learning and proximity sensors in transradial prostheses

One model, denoise them all!: A Comprehensive Investigation of Denoising Transfer Learning

Integrating radar and multi-spectral data to detect cocoa crops: a deep learning approach

Machine learning for post-storm profile predictions: Using XBeach and convolutional neural network structure U-Net to predict 1D dune erosion profile shapes at the Holland Coast

Automated rooftop solar panel detection through Convolutional Neural Networks

Deep reinforcement learning for cerebral anterior vessel tree extraction from 3D CTA images

Combined CNN and RNN Neural Networks for GPR Detection of Railway Subgrade Diseases

The Role of Water Vapor Observations in Satellite Rainfall Detection Highlighted by a Deep Learning Approach

Predicting drum beats from high-density Brain Rhythms

Continuous People Crowd Monitoring defined as a Regression Problem using Radar Networks

Cyber Forensic Analysis for Operational Technology Using Graph-Based Deep Learning

The Potential of Deep Learning for Satellite Rainfall Detection over Data-Scarce Regions, the West African Savanna

Analysing visual biases in coral imagery for bleaching detection

NanoFlowNet: Real-time optical flow estimation on a nano quadcopter

Semantic segmentation of roof superstructures

Generalization by Visual Attention

Cognitive activity recognition by analyzing eye movement with convolutional neural networks