Hanocka, R.[Rana]
* 2015: Progressive Blind Deconvolution
* 2017: Fast and Easy Blind Deblurring Using an Inverse Filter and PROBE
* 2019: Blind Visual Motif Removal From a Single Image
* 2020: PointGMM: A Neural GMM Network for Point Clouds
* 2022: Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference, The
* 2022: Text2Mesh: Text-Driven Neural Stylization for Meshes
* 2023: 3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions
* 2023: DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization
8 for Hanocka, R.
Hanooman, V.[Varoun]
* 2022: Empirical Approach for Optimising the Impact of a Preprocessor in a Transcoding Pipeline, An
Hanoon, S.K.[Sadeq Khaleefah]
* 2022: Novel Approach Based on Machine Learning and Public Engagement to Predict Water-Scarcity Risk in Urban Areas, A
* 2023: Urban Growth Forecast Using Machine Learning Algorithms and GIS-Based Novel Techniques: A Case Study Focusing on Nasiriyah City, Southern Iraq
Hanosh, O.
* 2020: Convulsive Movement Detection using Low-Resolution Thermopile Sensor Array
Hanoune, B.[Benjamin]
* 2020: Impact of Sea Breeze Dynamics on Atmospheric Pollutants and Their Toxicity in Industrial and Urban Coastal Environments
Hanousek, T.[Tomas]
* 2023: Flying Laboratory of Imaging Systems: Fusion of Airborne Hyperspectral and Laser Scanning for Ecosystem Research
Includes: Hanousek, T.[Tomas] Hanousek, T.[Tomáš]
Hanowski, R.J.
* 2013: Field evaluation of an enhanced rear signalling system for heavy trucks