Hede, P.[Patrick]
* 2010: Automatic cleaning and segmentation of web images based on colors to build learning databases
Hedegaard, C.
* 1979: Tape Format for Transferral of Image Data and Source Programs, A
* 1988: Tape Format for Transferral of Image Data and Source Programs, A
Hedegaard, L.[Lukas]
* 2021: Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol
* 2022: Continual 3D Convolutional Neural Networks for Real-time Processing of Videos
* 2022: Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in Pytorch
* 2023: Continual spatio-temporal graph convolutional networks
Hedelin, P.
* 2007: Spatio-Temporal Markov Random Field-Based Packet Video Error Concealment
* 2008: Packet Video Error Concealment With Gaussian Mixture Models
Hedengren, J.D.[John D.]
* 2016: Evolutionary View Planning for Optimized UAV Terrain Modeling in a Simulated Environment
* 2017: Potential Benefits of Combining Anomaly Detection with View Planning for UAV Infrastructure Modeling
* 2020: Automated 3D Reconstruction Using Optimized View-Planning Algorithms for Iterative Development of Structure-from-Motion Models
* 2020: Survey of 8 UAV Set-Covering Algorithms for Terrain Photogrammetry
Hedengren, K.H.
* 1988: Decomposition of Edge Operators
* 1992: Edge enhancement with image algebra
* 1992: Template Guided Visual Inspection
Heder, T.
* 2017: Improving a deep learning based RGB-D object recognition model by ensemble learning