Deseilligny, M.P.
* 2007: Processing Full-Waveform Lidar Data: Modelling Raw signals
* 2019: Improvement of photogrammetric accuracy by modeling and correcting the thermal effect on camera calibration
Includes: Deseilligny, M.P. Deseilligny, M.P.[M. Pierrot]
Deselaers, T.[Thomas]
* 2003: Local Representations for Multi-object Recognition
* 2003: Training and Recognition of Complex Scenes Using a Holistic Statistical Model
* 2004: Classification error rate for quantitative evaluation of content-based image retrieval systems
* 2004: Features for Image Retrieval: A Quantitative Comparison
* 2004: Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching
* 2005: Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition
* 2005: Discriminative Training for Object Recognition Using Image Patches
* 2005: Gesture Recognition Using Image Comparison Methods
* 2005: Improving a Discriminative Approach to Object Recognition Using Image Patches
* 2006: Geometric Features for Improving Continuous Appearance-based Sign Language Recognition
* 2006: Patch-based Object Recognition Using Discriminatively Trained Gaussian Mixtures
* 2006: Sparse Patch-Histograms for Object Classification in Cluttered Images
* 2006: Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition
* 2007: CLEF 2005 Automatic Medical Image Annotation Task, The
* 2007: Deformation Models for Image Recognition
* 2007: Incorporating On-demand Stereo for Real Time Recognition
* 2007: Optimal Geometric Matching for Patch-Based Object Detection
* 2008: Automatic Medical Image Annotation in ImageCLEF 2007: Overview, Results, and Discussion
* 2008: Bag-of-visual-words models for adult image classification and filtering
* 2008: Deformations, patches, and discriminative models for automatic annotation of medical radiographs
* 2008: Editorial to the Special Issue on Medical Image Annotation in ImageCLEF 2007
* 2008: Efficient approximations to model-based joint tracking and recognition of continuous sign language
* 2008: Image retrieval
* 2008: Learning weighted distances for relevance feedback in image retrieval
* 2008: Pan, zoom, scan: Time-coherent, trained automatic video cropping
* 2008: Randomized trees for real-time one-step face detection and recognition
* 2008: SVMs, Gaussian mixtures, and their generative/discriminative fusion
* 2009: Deformation-Aware Log-Linear Models
* 2009: Jointly optimising relevance and diversity in image retrieval
* 2009: Log-linear Mixtures for Object Class Recognition
* 2009: Smoothed Disparity Maps for Continuous American Sign Language Recognition
* 2010: ClassCut for Unsupervised Class Segmentation
* 2010: Global and efficient self-similarity for object classification and detection
* 2010: ImageCLEF: Experimental Evaluation in Visual Information Retrieval
* 2010: Localizing Objects While Learning Their Appearance
* 2010: Object classification by fusing SVMs and Gaussian mixtures
* 2010: What is an object?
* 2011: Visual and semantic similarity in ImageNet
* 2012: Latent Log-Linear Models for Handwritten Digit Classification
* 2012: Measuring the Objectness of Image Windows
* 2012: Weakly Supervised Localization and Learning with Generic Knowledge
* 2015: GyroPen: Gyroscopes for Pen-Input With Mobile Phones
* 2017: Multi-Language Online Handwriting Recognition
* 2020: Fast multi-language LSTM-based online handwriting recognition
Includes: Deselaers, T.[Thomas] Deselaers, T.
44 for Deselaers, T.
Deserno, T.[Thomas]
* 2013: Bone Age Assessment Using the Classifying Generalized Hough Transform
Deserno, T.M.[Thomas M.]
* 2008: Automatic Medical Image Annotation in ImageCLEF 2007: Overview, Results, and Discussion
* 2008: Editorial to the Special Issue on Medical Image Annotation in ImageCLEF 2007
* 2008: framework and baseline results for the CLEF medical automatic annotation task, A
* 2011: Biomedical Image Processing
Includes: Deserno, T.M.[Thomas M.] Deserno, T.M.[Thomas Martin]
Desert, T.[Thibault]
* 2021: Quantification and Correction of Wave-Induced Turbulence Intensity Bias for a Floating LIDAR System
Includes: Desert, T.[Thibault] Désert, T.[Thibault]
Desesquelles, H.[Henri]
* 2022: Ground-Penetrating Radar Full-Wave Inversion for Soil Moisture Mapping in Trench-Hill Potato Fields for Precise Irrigation
Desetti, S.N.[Sai Nandan]
* 2022: Open-Set Domain Adaptation Under Few Source-Domain Labeled Samples