Guralnick, R.P.[Robert P.]
* 2014: Assessment of Methods and Remote-Sensing Derived Covariates for Regional Predictions of 1 km Daily Maximum Air Temperature, An
* 2014: EarthEnv-DEM90: A nearly-global, void-free, multi-scale smoothed, 90m digital elevation model from fused ASTER and SRTM data
* 2022: Spatiotemporal Modeling of Zoonotic Arbovirus Transmission in Northeastern Florida Using Sentinel Chicken Surveillance and Earth Observation Data
Gurari, D.
* 2013: SAGE: An approach and implementation empowering quick and reliable quantitative analysis of segmentation quality
* 2015: How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-experts, and Algorithms
* 2016: ICORD: Intelligent Collection of Redundant Data: A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently
* 2016: Pull the Plug? Predicting If Computers or Humans Should Segment Images
* 2018: Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)
* 2018: VizWiz Grand Challenge: Answering Visual Questions from Blind People
* 2019: Guided Image Inpainting: Replacing an Image Region by Pulling Content From Another Image
* 2019: Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch
* 2019: Unconstrained Foreground Object Search
* 2019: VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People
* 2019: Why Does a Visual Question Have Different Answers?
* 2020: Assessing Image Quality Issues for Real-World Problems
* 2020: Captioning Images Taken by People Who Are Blind
* 2020: CTMC: Cell Tracking with Mitosis Detection Dataset Challenge
* 2020: Iterative Feature Transformation for Fast and Versatile Universal Style Transfer
* 2022: Grounding Answers for Visual Questions Asked by Visually Impaired People
* 2022: PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models
* 2022: PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals
* 2022: VizWiz-FewShot: Locating Objects in Images Taken by People with Visual Impairments
* 2023: Helping Visually Impaired People Take Better Quality Pictures
* 2023: Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer
* 2023: New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories, A
* 2023: VQA Therapy: Exploring Answer Differences by Visually Grounding Answers
* 2024: Interactive Segmentation for Diverse Gesture Types Without Context
* 2024: Salient Object Detection for Images Taken by People With Vision Impairments
Includes: Gurari, D. Gurari, D.[Danna]
25 for Gurari, D.
Gurari, E.M.
* 1982: On the Difficulties Involved in the Segmentation of Pictures
Gurari, N.
* 2013: Perception of Springs With Visual and Proprioceptive Motion Cues: Implications for Prosthetics
Gurau, C.[Corina]
* 2020: Probabilistic Future Prediction for Video Scene Understanding
Gurav, A.[Aniket]
* 2023: Respho(sc)net: A Zero-shot Learning Framework for Norwegian Handwritten Word Image Recognition
Guraya, F.F.E.
* 2010: visual attention based reference free perceptual quality metric, A