Grave, E.
* 2015: Weakly-Supervised Alignment of Video with Text
* 2023: ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training
Includes: Grave, E. Grave, E.[Edouard]
Gravel, P.
* 2004: Method for Modeling Noise in Medical Images, A
* 2020: RN-VID: A Feature Fusion Architecture for Video Object Detection
Includes: Gravel, P. Gravel, P.[Pierre]
Gravelle, R.[Robert]
* 2010: Imaging sensor Modulation Transfer Function estimation
Graveron Demilly, D.
* 2001: Improved MR image reconstruction from sparsely sampled scans based on neural networks
Includes: Graveron Demilly, D. Graveron-Demilly, D.
Graversen, R.[Rune]
* 2021: High-Resolution Polar Low Winds Obtained from Unsupervised SAR Wind Retrieval
Graves, A.
* 2003: Spotting Scene Change for Indexing Surveillance Video
* 2004: Wavelet-based holistic sequence descriptor for generating video summaries
* 2009: Novel Connectionist System for Unconstrained Handwriting Recognition, A
* 2015: Automatic diacritization of Arabic text using recurrent neural networks
Includes: Graves, A. Graves, A.[Alex]
Graves, C.
* 1995: Test Driving Three 1995 Genetic Algorithms: New Test Functions and Geometric Matching
* 1996: Local Search as a Tool for Horizon Line Matching
Graves, C.A.[Carolyn A.]
* 2022: Can Forel-Ule Index Act as a Proxy of Water Quality in Temperate Waters? Application of Plume Mapping in Liverpool Bay, UK
Graves, C.R.
* 1995: Demonstrating Polynomial Run-Time Growth for Local Search Matching
* 1997: Comparing Random-Starts Local Search with Key-Feature Matching
* 1997: Horizon Line Matching for Orientation Correction Using a Messy Genetic Algorithm
Includes: Graves, C.R. Graves, C.R.[Christopher R.]
Graves, C.V.[Catharine V.]
* 2022: Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI
Graves, D.[Daniel]
* 2012: Clustering with proximity knowledge and relational knowledge
Graves, E.B.
* 1996: Neural Model of Visual Stereomatching: Slant, Transparency and Clouds
Graves, J.[Josh]
* 2020: Machine Learning Approach to Delineating Neighborhoods from Geocoded Appraisal Data, A
Graves, M.[Martin]
* 2019: Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration
Graves, M.J.[Martin J.]
* 2019: Automatic segmentation of MR depicted carotid arterial boundary based on local priors and constrained global optimisation
* 2020: Learning the Sampling Pattern for MRI
Includes: Graves, M.J.[Martin J.] Graves, M.J.
Graves, N.[Nathan]
* 2011: Using visibility cameras to estimate atmospheric light extinction
Graves, S.
* 2013: Introducing Provenance Capture into a Legacy Data System
Graves, S.J.[Sara J.]
* 2001: Using Association Rules as Texture Features
* 2002: Image segmentation using association rule features
* 2016: Tree Species Abundance Predictions in a Tropical Agricultural Landscape with a Supervised Classification Model and Imbalanced Data
Includes: Graves, S.J.[Sara J.] Graves, S.J. Graves, S.J.[Sarah J.]
Graves, T.A.[Tabitha A.]
* 2020: Comparative Quality and Trend of Remotely Sensed Phenology and Productivity Metrics across the Western United States
Graves, W.[William]
* 2022: Full-Scale Highway Bridge Deformation Tracking via Photogrammetry and Remote Sensing
Gravesen, J.
* 2012: Guide to Computational Geometry Processing: Foundations, Algorithms, and Methods
Gravey, M.[Mathieu]
* 2019: Analogue-based colorization of remote sensing images using textural information
Gravier, E.[Erwan]
* 2003: Motion-compensated reconstruction of tomographic image sequences
* 2007: Tomographic Reconstruction of Dynamic Cardiac Image Sequences
Gravier, G.
* 2000: Markov random field model for automatic speech recognition, A
* 2003: Recent advances in the automatic recognition of audiovisual speech
* 2008: Audiovisual integration with Segment Models for tennis video parsing
* 2011: Exploiting Speech for Automatic TV Delinearization: From Streams to Cross-Media Semantic Navigation
* 2012: Benchmarking Campaign for the Multimodal Detection of Violent Scenes in Movies, A
* 2012: Efficient Mining of Repetitions in Large-Scale TV Streams with Product Quantization Hashing
* 2012: Improving Cluster Selection and Event Modeling in Unsupervised Mining for Automatic Audiovisual Video Structuring
* 2012: Texmix: an automatically generated news navigation portal
* 2015: Content-Based Discovery of Multiple Structures from Episodes of Recurrent TV Programs Based on Grammatical Inference
* 2016: Shaping-Up Multimedia Analytics: Needs and Expectations of Media Professionals
* 2017: Benchmarking Initiative for Multimedia Evaluation: MediaEval 2016, The
* 2017: Exploiting Multimodality in Video Hyperlinking to Improve Target Diversity
* 2017: One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network
* 2018: Crossmodal Approach to Multimodal Fusion in Video Hyperlinking, A
* 2021: Rethinking deep active learning: Using unlabeled data at model training
* 2022: Affect in Multimedia: Benchmarking Violent Scenes Detection
* 2023: Filtering Safe Temporal Motifs in Dynamic Graphs for Dissemination Purposes
Includes: Gravier, G. Gravier, G.[Guillaume]
17 for Gravier, G.
Gravina, M.[Michela]
* 2019: 3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI
* 2019: Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification
* 2020: Developing a Smart PACS: CBIR System Using Deep Learning
* 2021: DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI
* 2021: Deep learning in the ultrasound evaluation of neonatal respiratory status
* 2022: Evaluating Tumour Bounding Options for Deep Learning-based Axillary Lymph Node Metastasis Prediction in Breast Cancer
* 2022: LessonAble: Leveraging Deep Fakes in MOOC Content Creation
* 2022: Leveraging CycleGAN in Lung CT Sinogram-free Kernel Conversion
* 2023: Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection
* 2023: Fead-d: Facial Expression Analysis in Deepfake Detection
10 for Gravina, M.
Gravina, M.F.[Maria Flavia]
* 2018: Mapping and Classification of Ecologically Sensitive Marine Habitats Using Unmanned Aerial Vehicle (UAV) Imagery and Object-Based Image Analysis (OBIA)
Gravina, R.
* 2013: Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications
* 2016: Automatic Methods for the Detection of Accelerative Cardiac Defense Response
Gravvanis, G.A.
* 2016: Managing Spatial Graph Dependencies in Large Volumes of Traffic Data for Travel-Time Prediction