Geodesic Active Fields - A Geometric Framework for Image Registration

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This study presents an augmented hybrid approach for improving the diagnosis of malignant skin lesions by combining convolutional neural network (CNN) predictions with selective human interventions based on prediction confidence. The algorithm retains high ...

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State-of-the-art object detection and segmentation methods for microscopy images rely on supervised machine learning, which requires laborious manual annotation of training data. Here we present a self-supervised method based on time arrow prediction pre-t ...

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The acquisition of high quality maps of gene expression in the rodent brain is of fundamental importance to the neuroscience community. The generation of such datasets relies on registering individual gene expression images to a reference volume, a task en ...

Geodesic Active Fields - A Geometric Framework for Image Registration

Chat with Graph Search

Enhancing skin lesion classification: a CNN approach with human baseline comparison

Particle-in-cell methods in edge plasma physics: the PICLS code

Aggregating Spatial and Photometric Context for Photometric Stereo

Incorporating Projective Geometry into Deep Learning

Detecting Anomalies and Obstacles in Road Scenes

Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction

How deep convolutional neural networks lose spatial information with training

Rigidity-Aware Detection for 6D Object Pose Estimation

Dense Image-based Predictions for Comics Analysis

Two-level Data Augmentation for Calibrated Multi-view Detection

Well-posedness Issues For the Half-Wave Maps Equation With Hyperbolic And Spherical Targets

SoDaCam: Software-defined Cameras via Single-Photon Imaging

Unsupervised Visual Entity Abstraction towards 2D and 3D Compositional Models

Weakly Supervised Volumetric Image Segmentation with Deformed Templates

Human-Centered Scene Understanding via Crowd Counting

Attribute Prediction as Multiple Instance Learning

Learning to Represent and Reconstruct 3D Deformable Objects

Tracking and Relative Localization of Drone Swarms With a Vision-Based Headset

Improving the Training of Compact Neural Networks for Visual Recognition

Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas