Fillard, J.P.
* 1994: Fourier phase shift location estimation of unfocused optical point spread functions
* 1994: Motion estimation and compensation technologies for standards conversion
Fillard, P.[Pierre]
* 2006: Riemannian Framework for Tensor Computing, A
* 2007: Clinical DT-MRI Estimation, Smoothing, and Fiber Tracking With Log-Euclidean Metrics
* 2009: DT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential
* 2012: Improving image quality in small animal diffusion tensor imaging at 7T
Includes: Fillard, P.[Pierre] Fillard, P.
Fillatre, L.[Lionel]
* 2005: Statistical Detection of an Anomaly from a Few Noisy Tomographic Projections, A
* 2008: epsilon-Optimal Non-Bayesian Anomaly Detection for Parametric Tomography
* 2014: Hybrid weighted-stego detection using machine learning
* 2014: Simulation of image time series from dynamical fractional brownian fields
* 2014: Uniformly minimum variance unbiased estimation for asynchronous event-based cameras
* 2015: Retinal-inspired filtering for dynamic image coding
* 2018: Neuro-Inspired Quantization
* 2018: Retina-Inspired Filter
* 2021: Dynamic Image Quantization Using Leaky Integrate-and-Fire Neurons
* 2022: Discrete Box-Constrained Minimax Classifier for Uncertain and Imbalanced Class Proportions
Includes: Fillatre, L.[Lionel] Fillatre, L.
10 for Fillatre, L.
Fillatreau, P.
* 1995: Non-Polyhedral Landmark Recognition using 3D Depth Images and Partially Correct Models
* 1995: Non-Polyhedral Landmark Recognition using 3D Depth Images and Partially Correct Models
* 2020: HW/SW co-design of a visual SLAM application
Includes: Fillatreau, P. Fillatreau, P.[Philippe]
Fillbrandt, H.
* 2003: Extraction of 3D hand shape and posture from images sequences from sign language recognition
Filler, T.[Tomas]
* 2008: Using sensor pattern noise for camera model identification
Fillere, I.[Isabelle]
* 1993: Shapes and metrics
Fillia, E.[Edoardo]
* 2023: Integrated HBIM-GIS Models for Multi-Scale Seismic Vulnerability Assessment of Historical Buildings
Filliard, N.
* 2013: Motion Scaling for High-Performance Driving Simulators
Filliat, D.[David]
* 2011: spherical representation for efficient visual loop closing, A
* 2014: Neural Network Fusion of Color, Depth and Location for Object Instance Recognition on a Mobile Robot
* 2017: SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics
* 2018: Generic Object Discrimination for Mobile Assistive Robots Using Projective Light Diffusion
* 2018: Learning Structure-from-Motion from Motion
* 2021: Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving
* 2022: Latent Discriminant Deterministic Uncertainty
* 2023: Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions
* 2024: InfraParis: A multi-modal and multi-task autonomous driving dataset
Includes: Filliat, D.[David] Filliat, D.
9 for Filliat, D.
Filliben, J.J.[James J.]
* 2010: Human Inspired Local Ratio-Based Algorithm for Edge Detection in Fluorescent Cell Images, A
* 2013: Sensitivity analysis for biometric systems: A methodology based on orthogonal experiment designs
Fillion, C.[Celia]
* 2013: new ab initio reconstruction method from unknown-direction projections of 2D binary set, A
Fillioux, L.[Leo]
* 2023: Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy
Fillmore, D.[David]
* 2020: Uncertainty in Satellite-Derived Surface Irradiances and Challenges in Producing Surface Radiation Budget Climate Data Record
Fillwalk, J.[John]
* 2015: ChromaChord: A virtual musical instrument