Gehrchen, P.M.
* 2003: Nonlinear finite-element analysis and biomechanical evaluation of the lumbar spine
Gehrig, D.
* 2008: Selecting relevant features for human motion recognition
* 2018: Asynchronous, Photometric Feature Tracking Using Events and Frames
* 2019: End-to-End Learning of Representations for Asynchronous Event-Based Data
* 2020: EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames
* 2020: EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames
* 2020: Event-based Asynchronous Sparse Convolutional Networks
* 2020: Fast Image Reconstruction with an Event Camera
* 2020: Learning Monocular Dense Depth from Events
* 2020: Video to Events: Recycling Video Datasets for Event Cameras
* 2021: E-RAFT: Dense Optical Flow from Event Cameras
* 2021: How to Calibrate Your Event Camera
* 2021: Time Lens: Event-based Video Frame Interpolation
* 2022: AEGNN: Asynchronous Event-based Graph Neural Networks
* 2022: Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation
* 2022: ESS: Learning Event-Based Semantic Segmentation from Still Images
* 2022: Multi-Bracket High Dynamic Range Imaging with Event Cameras
* 2022: Time Lens++: Event-based Frame Interpolation with Parametric Nonlinear Flow and Multi-scale Fusion
* 2023: 5-Point Minimal Solver for Event Camera Relative Motion Estimation, A
* 2023: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection
Includes: Gehrig, D. Gehrig, D.[Daniel]
19 for Gehrig, D.
Gehrig, J.P.[Jean Pierre]
* 2009: Media on the web, in post-production and broadcasting: the practitioner day of the ACM 2009 International Conference on Image and Video Retrieval
Includes: Gehrig, J.P.[Jean Pierre] Gehrig, J.P.[Jean-Pierre]
Gehrig, M.[Mathias]
* 2019: Focus Is All You Need: Loss Functions for Event-Based Vision
* 2020: Video to Events: Recycling Video Datasets for Event Cameras
* 2021: E-RAFT: Dense Optical Flow from Event Cameras
* 2021: How to Calibrate Your Event Camera
* 2021: Time Lens: Event-based Video Frame Interpolation
* 2022: Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation
* 2023: Data-Driven Feature Tracking for Event Cameras
* 2023: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection
* 2023: Neuromorphic Optical Flow and Real-time Implementation with Event Cameras
* 2023: Recurrent Vision Transformers for Object Detection with Event Cameras
* 2024: Revisiting Token Pruning for Object Detection and Instance Segmentation
Includes: Gehrig, M.[Mathias] Gehrig, M.
11 for Gehrig, M.
Gehrig, N.
* 2003: Visual Golf Club Tracking for Enhanced Swing Analysis
* 2004: Distributed compression of the plenoptic function
* 2007: Distributed Compression of Multi-View Images using a Geometrical Coding Approach
* 2009: Geometry-Driven Distributed Compression of the Plenoptic Function: Performance Bounds and Constructive Algorithms
Includes: Gehrig, N. Gehrig, N.[Nicolas]
Gehrig, S.
* 2013: Priors for Stereo Vision under Adverse Weather Conditions
Gehrig, S.K.[Stefan K.]
* 1999: Cartography and Dead Reckoning Using Stereo Vision for an Autonomous Car
* 2004: Active Stereo for Intersection Assistance
* 2004: monocular image based intersection assistant, A
* 2005: 6D-Vision: Fusion of Stereo and Motion for Robust Environment Perception
* 2005: Monocular Collision Warning System, A
* 2006: Accurate and Model-Free Pose Estimation of Small Objects for Crash Video Analysis
* 2007: Collision Avoidance for Vehicle-Following Systems
* 2007: Improving Stereo Sub-Pixel Accuracy for Long Range Stereo
* 2008: 6D Vision Goes Fisheye for Intersection Assistance
* 2008: Integrating Disparity Images by Incorporating Disparity Rate
* 2008: Model-Based Motion Capture for Crash Test Video Analysis
* 2008: Towards Optimal Stereo Analysis of Image Sequences
* 2009: Performance Evaluation of Stereo Algorithms for Automotive Applications
* 2009: Real-Time Low-Power Stereo Vision Engine Using Semi-Global Matching, A
* 2009: Stereo matching in the presence of sub-pixel calibration errors
* 2010: Real-time Semi-Global Matching on the CPU
* 2011: Evaluation Framework for Stereo-Based Driver Assistance, An
* 2011: On Performance Analysis of Optical Flow Algorithms
* 2011: real-time multi-cue framework for determining optical flow confidence, A
* 2012: Improving sub-pixel accuracy for long range stereo
* 2013: Exploiting the Power of Stereo Confidences
* 2014: Exploiting Traffic Scene Disparity Statistics for Stereo Vision
* 2015: Flexible High-Resolution Real-Time Low-Power Stereo Vision Engine, A
Includes: Gehrig, S.K.[Stefan K.] Gehrig, S.K.
23 for Gehrig, S.K.
Gehrig, T.[Tobias]
* 2007: Multi-level Particle Filter Fusion of Features and Cues for Audio-Visual Person Tracking
* 2011: common framework for real-time emotion recognition and facial action unit detection, A
* 2011: Facial action unit detection using kernel partial least squares
* 2012: Facial expression classification on web images
* 2012: Multi-view facial expression recognition using local appearance features
* 2015: Action unit intensity estimation using hierarchical partial least squares
Gehring, J.[Jaclyn]
* 2022: Deriving River Discharge Using Remotely Sensed Water Surface Characteristics and Satellite Altimetry in the Mississippi River Basin
Gehring, T.M.[Thomas M.]
* 2022: Ornithologist's Guide for Including Machine Learning in a Workflow to Identify a Secretive Focal Species from Recorded Audio, An
Gehrisch, S.
* 2018: Robust Blood Flow Velocity Estimation from 3D Rotational Angiography
Gehrke, A.
* 1998: Spatiotemporally Adaptive Estimation and Segmentation of Optical Flow Fields
Gehrke, B.[Berit]
* 2019: Correcting Swath-Dependent Bias of MODIS FRP Observations with Quantile Mapping
Gehrke, J.[Johannes]
* 2012: MatchMiner: Efficient Spanning Structure Mining in Large Image Collections
Gehrke, M.
* 2009: Writer Recognition by Combining Local and Global Methods
* 2010: Recognition of Humboldt's Handwriting in Complex Surroundings
Includes: Gehrke, M. Gehrke, M.[Martin]
Gehrke, R.
* 2013: Aspects of DEM Generation from UAS Imagery
* 2013: Multispectral Image Capturing with Foveon Sensors
* 2016: Copernicus: Practice Of Daily Life In A National Mapping Agency?
* 2016: Synthetic Aperture Radar (SAR) Based Classifiers For Land Applications In Germany
Gehrke, S.[Stephan]
* 2005: HRSC on Mars Express: Photogrammetric and Cartographic Research
* 2010: Semi-global matching: an alternative to LiDAR for DSM generation?
* 2012: Combined Geometric/radiometric Point Cloud Matching for Shear Analysis
* 2012: Multi-sensor Approach To Semi-Global Matching, A
* 2016: Framework For An Automatic Seamline Engine, A
* 2016: Radiometric Normalization Of Large Airborne Image Data Sets Acquired By Different Sensor Types
Includes: Gehrke, S.[Stephan] Gehrke, S.
Gehrke, W.
* 1995: Associative controlling of monolithic parallel processor architectures
* 1995: VLSI Architectures for Video Compression: A Survey
Gehrlich, T.
* 2015: Impact of annotation dimensionality under variable task complexity in remote guidance
Gehrmann, C.
* 2014: Avoiding weak parameters in secret image sharing
Gehrung, J.
* 2015: Ad Hoc Model Generation Using Multiscale LIDAR Data from a Geospatial Database
* 2020: TUM-MLS-2016: An Annotated Mobile LiDAR Dataset of the TUM City Campus for Semantic Point Cloud Interpretation in Urban Areas
* 2021: Efficient Tour Planning for a Measurement Vehicle By Combining Next Best View and Traveling Salesman
Includes: Gehrung, J. Gehrung, J.[Joachim]