Ehrenmann, M.[Markus]
* 1999: MEPHISTO: A Modular and Extensible Path Planning System Using Observation
Ehrenpfordt, I.
* 2008: Reflektas: lane departure prevention system based on behavioural control
Ehrensperger, S.
* 2016: New Method To Detect Regions Endangered By High Wind Speeds, A
Ehrenstein, S.[Samuel]
* 2024: Leveraging Near-field Lighting for Monocular Depth Estimation from Endoscopy Videos
Ehret, G.[Gerhard]
* 2017: MERLIN: A French-German Space Lidar Mission Dedicated to Atmospheric Methane
* 2017: Potential of Spaceborne Lidar Measurements of Carbon Dioxide and Methane Emissions from Strong Point Sources
Ehret, T.[Thibaud]
* 2018: Automatic Detection of Internal Copy-Move Forgeries in Images
* 2018: EPLL: An Image Denoising Method Using a Gaussian Mixture Model Learned on a Large Set of Patches
* 2018: Non-Local Kalman: A Recursive Video Denoising Algorithm
* 2018: On the Convergence of PatchMatch and Its Variants
* 2018: Reducing Anomaly Detection in Images to Detection in Noise
* 2019: How to Reduce Anomaly Detection in Images to Anomaly Detection in Noise
* 2019: Image Anomalies: A Review and Synthesis of Detection Methods
* 2019: Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images
* 2019: Model-Blind Video Denoising via Frame-To-Frame Training
* 2019: Non-Local CNN for Video Denoising, A
* 2019: Study of Two CNN Demosaicking Algorithms, A
* 2021: Implementation of VBM3D and Some Variants
* 2021: Self-supervised training for blind multi-frame video denoising
* 2021: Unsupervised Variability Normalization for Anomaly Detection
* 2022: Disparity Estimation Networks for Aerial and High-Resolution Satellite Images: A Review
* 2022: Reviewing ViBe, a Popular Background Subtraction Algorithm for Real-Time Applications
* 2022: Sat-NeRF: Learning Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC Cameras
* 2023: GLAD: A Global-to-Local Anomaly Detector
* 2023: Keypoints Dictionary Learning for Fast and Robust Alignment
* 2023: Monocular Depth Estimation: a Review of the 2022 State of the Art
* 2023: Multi-Date Earth Observation NeRF: The Detail Is in the Shadows
* 2023: Video joint denoising and demosaicing with recurrent CNNs
* 2024: Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery
* 2024: generic and flexible regularization framework for NeRFs, A
* 2024: Line Segment Detection: a Review of the 2022 State of the Art
* 2024: Model-guided contrastive fine-tuning for industrial anomaly detection
* 2024: Radar Fields: An Extension of Radiance Fields to SAR
* 2025: Adaptive Unsupervised Anomaly Detection in Variable Environment by Online Expectation Maximization
* 2025: Gaussian Splatting for Efficient Satellite Image Photogrammetry
* 2025: IRIS-VIS: A New Dataset for Visibility Estimation in an Industrial Environment
* 2025: S-EO: A Large-Scale Dataset for Geometry-Aware Shadow Detection in Remote Sensing Applications
* 2025: s2p-hd: GPU-Accelerated Binocular Stereo Pipeline for Large-Scale Same-Date Stereo
Includes: Ehret, T.[Thibaud] Ehret, T.
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