Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

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Aircraft-based monitoring of wildlife is a popular way among conservation practitioners to obtain animal population counts over large areas. Nowadays, these aerial censuses are becoming increasingly scalable due to the advent of drone technology, which is ...

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Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

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How to minimize the annotation effort in aerial wildlife surveys

Generative models for synthetic data generation: application to pharmacokinetic/pharmacodynamic data

Semantic Segmentation of Coffee Plantations from Sentinel-2 Time Series

Probing the effects of broken symmetries in machine learning

Aggregating Spatial and Photometric Context for Photometric Stereo

Which Coupled is Best Coupled? An Exploration of AIMC Tile Interfaces and Load Balancing for CNNs

Deep learning augmented nanoplasmonic infrared sensor for structural protein biomarker-based detection of neurodegenerative diseases

3D diffractive optics for linear interconnects and nonlinear processing

Robust Training and Verification of Deep Neural Networks

Automated image-based generation of finite element models for masonry buildings

Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula)

Robust Isometric Non-Rigid Structure-From-Motion

Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models

What do we talk about, when we talk about single-crystal termination-dependent selectivity of Cu electrocatalysts for CO2 reduction? A data-driven retrospective

Fast 3D Modeling of Prosthetic Robotic Hands Based on a Multi-Layer Deformable Design

The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning star

ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns

Bragg edge tomography characterization of additively manufactured 316L steel

3D reconstruction of curvilinear one-dimensional objects viewed in transmission electron microscopy

Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery