998 citations
- DEVCOM Army Research LaboratoryUS45 papers
- U.S. Army Engineer Research and Development CenterUS21 papers
- United States Army Combat Capabilities Development CommandUS20 papers
- United States Department of the ArmyUS18 papers
- United States Army Research OfficeUS17 papers
- U.S. Army Combat Capabilities Development Command Aviation & Missile Center15 papers
- Duke UniversityUS14 papers
- U.S. Army Aviation and Missile CommandUS11 papers
- Pennsylvania State UniversityUS9 papers
- Massachusetts Institute of TechnologyUS8 papers
- Oakland UniversityUS7 papers
- University of North TexasUS7 papers
6 papers · 1 filter
Heterogeneous Face Frontalization via Domain Agnostic Learning
Xing Di, Shuowen Hu, Vishal M. Patel
Recent advances in deep convolutional neural networks (DCNNs) have shown impressive performance improvements on thermal to visible face synthesis and matching problems. However, cu…
Introducing Fuzzy Layers for Deep Learning
Stanton R. Price, Steven R. Price, Derek T. Anderson
Many state-of-the-art technologies developed in recent years have been influenced by machine learning to some extent. Most popular at the time of this writing are artificial intell…
Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing
Sungmin Eum, Heesung Kwon
We present a novel deep zero-shot learning (ZSL) model for inferencing human-object-interaction with verb-object (VO) query. While the previous two-stream ZSL approaches only use t…
Structured Analysis Dictionary Learning for Image Classification
Wen Tang, Ashkan Panahi, Hamid Krim +1
We propose a computationally efficient and high-performance classification algorithm by incorporating class structural information in analysis dictionary learning. To achieve more…
Improved Workflow for Unsupervised Multiphase Image Segmentation
Brendan A. West, Taylor S. Hodgdon, Matthew D. Parno +1
Quantitative image analysis often depends on accurate classification of pixels through a segmentation process. However, imaging artifacts such as the partial volume effect and sens…
Weakly Supervised Localization using Deep Feature Maps
Archith J. Bency, Heesung Kwon, Hyungtae Lee +2
Object localization is an important computer vision problem with a variety of applications. The lack of large scale object-level annotations and the relative abundance of image-lev…