Moccagatta, I.
* 1993: Motion Compensated Generic Coding of Video Based on Multiresolution Data Structure
* 1994: Motion Field Segmentation to Improve Moving Edges Reconstruction in Video Coding, A
* 1995: Image Coding Scheme Based on Perceptually Classified Vector Quantization for High Compression Ratios, An
* 1997: MPEG-4 Video Verification Model: Status and Directions
* 1999: Error concealment by data partitioning
* 2017: Hardware-friendly inter prediction techniques for AV1 video coding
Includes: Moccagatta, I. Moccagatta, I.[Iole]
Moccia, A.
* 1998: DEM Generation by Means of ERS Tandem Data
* 2005: Analysis of Spaceborne Tandem Configurations for Complementing COSMO with SAR Interferometry
* 2009: Performance of Stereoradargrammetric Methods Applied to Spaceborne Monostatic-Bistatic Synthetic Aperture Radar
* 2011: Spatial Resolution of Bistatic Synthetic Aperture Radar: Impact of Acquisition Geometry on Imaging Performance
* 2016: Use of Doppler Parameters for Ship Velocity Computation in SAR Images
* 2019: Integration of Automatic Identification System (AIS) Data and Single-Channel Synthetic Aperture Radar (SAR) Images by SAR-Based Ship Velocity Estimation for Maritime Situational Awareness
* 2019: Segmentation of Marine SAR Images by Sublook Analysis and Application to Sea Traffic Monitoring
* 2020: PRF Selection in Formation-Flying SAR: Experimental Verification on Sentinel-1 Monostatic Repeat-Pass Data
Includes: Moccia, A. Moccia, A.[Antonio]
8 for Moccia, A.
Moccia, S.[Sara]
* 2019: Learning Approach for Informative-Frame Selection in US Rheumatology Images, A
* 2020: Development of an Augmented Reality System Based on Marker Tracking for Robotic Assisted Minimally Invasive Spine Surgery
* 2021: Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture, A
* 2021: NephCNN: A deep-learning framework for vessel segmentation in nephrectomy laparoscopic videos
* 2022: Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images
* 2022: Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI?
* 2023: Accountable Deep-Learning-Based Vision Systems for Preterm Infant Monitoring
7 for Moccia, S.
Moccozet, L.[Laurent]
* 2001: Designing and Simulating Clothes
* 2008: Control Structure and Multi-Resolution Techniques for Virtual Human Representation