331 citations · 761 across the 49 of their papers we have counts for
5 papers · 2 filters
UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
Ye Yuan, Wenhan Yang, Wenqi Ren +3
The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…
Measuring Human Perception to Improve Handwritten Document Transcription
Samuel Grieggs, Bingyu Shen, Greta Rauch +5
The subtleties of human perception, as measured by vision scientists through the use of psychophysics, are important clues to the internal workings of visual recognition. For insta…
Dynamic Spatial Verification for Large-Scale Object-Level Image Retrieval
Joel Brogan, Aparna Bharati, Daniel Moreira +4
Images from social media can reflect diverse viewpoints, heated arguments, and expressions of creativity, adding new complexity to retrieval tasks. Researchers working onContent-Ba…
Learning-Free Iris Segmentation Revisited: A First Step Toward Fast Volumetric Operation Over Video Samples
Jeffery Kinnison, Mateusz Trokielewicz, Camila Carballo +2
Subject matching performance in iris biometrics is contingent upon fast, high-quality iris segmentation. In many cases, iris biometrics acquisition equipment takes a number of imag…
Bridging the Gap Between Computational Photography and Visual Recognition
Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster +21
What is the current state-of-the-art for image restoration and enhancement applied to degraded images acquired under less than ideal circumstances? Can the application of such algo…