331 citations · 761 across the 49 of their papers we have counts for
9 papers · 1 filter
UG^2: a Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition
Rosaura G. Vidal, Sreya Banerjee, Klemen Grm +2
Advances in image restoration and enhancement techniques have led to discussion about how such algorithmscan be applied as a pre-processing step to improve automatic visual recogni…
Deja vu: Scalable Place Recognition Using Mutually Supportive Feature Frequencies
Adam Jacobson, Walter Scheirer, Michael Milford
Learning and recognition is a fundamental process performed in many robot operations such as mapping and localization. The majority of approaches share some common characteristics,…
SHADHO: Massively Scalable Hardware-Aware Distributed Hyperparameter Optimization
Jeff Kinnison, Nathaniel Kremer-Herman, Douglas Thain +1
Computer vision is experiencing an AI renaissance, in which machine learning models are expediting important breakthroughs in academic research and commercial applications. Effecti…
Provenance Filtering for Multimedia Phylogeny
Allan Pinto, Daniel Moreira, Aparna Bharati +5
Departing from traditional digital forensics modeling, which seeks to analyze single objects in isolation, multimedia phylogeny analyzes the evolutionary processes that influence d…
U-Phylogeny: Undirected Provenance Graph Construction in the Wild
Aparna Bharati, Daniel Moreira, Allan Pinto +5
Deriving relationships between images and tracing back their history of modifications are at the core of Multimedia Phylogeny solutions, which aim to combat misinformation through…
Neuron Segmentation Using Deep Complete Bipartite Networks
Jianxu Chen, Sreya Banerjee, Abhinav Grama +2
In this paper, we consider the problem of automatically segmenting neuronal cells in dual-color confocal microscopy images. This problem is a key task in various quantitative analy…
Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization
Joel Brogan, Paolo Bestagini, Aparna Bharati +6
As image tampering becomes ever more sophisticated and commonplace, the need for image forensics algorithms that can accurately and quickly detect forgeries grows. In this paper, w…
SREFI: Synthesis of Realistic Example Face Images
Sandipan Banerjee, John S. Bernhard, Walter J. Scheirer +2
In this paper, we propose a novel face synthesis approach that can generate an arbitrarily large number of synthetic images of both real and synthetic identities. Thus a face image…
Using Human Brain Activity to Guide Machine Learning
Ruth Fong, Walter Scheirer, David Cox
Machine learning is a field of computer science that builds algorithms that learn. In many cases, machine learning algorithms are used to recreate a human ability like adding a cap…