Happ, P.
* 2015: Classification Algorithms for Big Data Analysis, A Map Reduce Approach
Happ, P.N.
* 2010: Multiresolution Segmentation: A Parallel Approach for High Resolution Image Segmentation in Multicore Architectures
* 2019: Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences
* 2019: Mapping Glacier Changes Using Clustering Techniques On Cloud Computing Infrastructure
* 2020: Domain Adaptation with CycleGAN for Change Detection In the Amazon Forest
* 2020: Evaluation of Deep Learning Techniques for Deforestation Detection in the Brazilian Amazon and Cerrado Biomes From Remote Sensing Imagery
* 2020: First Results of the LEM Benchmark Database for Agricultural Applications
* 2021: Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences
* 2021: Large Scale Semantic Segmentation of Virtual Environments to Facilitate Corrosion Management
* 2021: Towards Lifelong Crop Recognition Using Fully Convolutional Recurrent Networks and SAR Image Sequences
Includes: Happ, P.N. Happ, P.N.[Patrick Nigri]
9 for Happ, P.N.
Happe, A.
* 1999: Affine Real-Time Face Tracking Using a Wavelet Network
* 2000: Affine Real-time Face Tracking Using Gabor Wavelet Networks
Happe, D.
* 2013: Laas Geel (Somaliland): 5000 Year-Old Paintings Captured in 3D
Happe, M.[Markus]
* 2013: self-adaptive heterogeneous multi-core architecture for embedded real-time video object tracking, A
Happee, R.
* 2013: Enhancing Driver Car-Following Performance with a Distance and Acceleration Display
* 2014: Haptic Steering Support for Driving Near the Vehicle's Handling Limits: Test-Track Case
* 2014: Road-Departure Prevention in an Emergency Obstacle Avoidance Situation
* 2021: Hybrid Submicroscopic-Microscopic Traffic Flow Simulation Framework, A
* 2022: Comparative Safety Assessment of Automated Driving Strategies at Highway Merges in Mixed Traffic
* 2023: Optimal Trajectory Planning for Mitigated Motion Sickness: Simulator Study Assessment
* 2024: risk-based driver behaviour model, A
Includes: Happee, R. Happee, R.[Riender]
7 for Happee, R.
Happel, O.
* 2020: Statistical Modeling of Visual Attention of Junior and Senior Anesthesiologists During the Induction of General Anesthesia in Real and Simulated Cases
Happold, M.[Michael]
* 2019: Hierarchical Deep Stereo Matching on High-Resolution Images
* 2023: MotionTrack: End-to-End Transformer-based Multi-Object Tracking with LiDAR-Camera Fusion
Happonen, A.P.
* 2005: Comparative Study of Angular Extrapolation in Sinogram and Stackgram Domains for Limited Angle Tomography, A
Happy, S.
* 2020: Semi-supervised Emotion Recognition using Inconsistently Annotated Data
Happy, S.L.
* 2013: Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers, A
* 2015: Automatic Facial Expression Recognition Using Features of Salient Facial Patches
* 2015: Robust facial expression classification using shape and appearance features
* 2017: Indian Spontaneous Expression Database for Emotion Recognition, The
* 2019: Fuzzy Histogram of Optical Flow Orientations for Micro-Expression Recognition
* 2019: Semisupervised Spatial Spectral Regularized Manifold Local Scaling Cut With HGF for Dimensionality Reduction of Hyperspectral Images, A
* 2019: Weakly Supervised learning technique for classifying facial expressions, A
* 2020: Apathy Classification by Exploiting Task Relatedness
* 2020: ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks
* 2021: Expression recognition with deep features extracted from holistic and part-based models
* 2021: How Unique Is a Face: An Investigative Study
* 2022: Spatio-Temporal Approach for Apathy Classification, A
Includes: Happy, S.L. Happy, S.L.[S L]
12 for Happy, S.L.