Scale Invariant Features and Polar Descriptors in Omnidirectional Imaging

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Scale Invariant Features and Polar Descriptors in Omnidirectional Imaging

Chattez avec Graph Search

Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction

Incorporating Projective Geometry into Deep Learning

Efficient Continual Finite-Sum Minimization

Aggregating Spatial and Photometric Context for Photometric Stereo

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

A method and system for optimizing design, implantation, and stimulation protocols of electrodes stimulating the nervous system

Geometric Learning: Leveraging differential geometry for learning and control

Reactive collision-free motion generation in joint space via dynamical systems and sampling-based MPC

Enabling Uncertainty Estimation in Iterative Neural Networks

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Energy Management of Price-Maker Community Energy Storage by Stochastic Dynamic Programming

FENNECS: a novel particle-in-cell code for simulating the formation of magnetized non-neutral plasmas trapped by electrodes of complex geometries

Hybrid Quadratic Programming - Pullback Bundle Dynamical Systems Control

Rigidity-Aware Detection for 6D Object Pose Estimation

CLIP the Gap: A Single Domain Generalization Approach for Object Detection

RMAML: Riemannian meta-learning with orthogonality constraints

Contextual Stochastic Bilevel Optimization

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

Detecting Anomalies and Obstacles in Road Scenes

Retraction-based numerical methods for continuation, interpolation and time integration on manifolds