477 citations · 512 across the 9 of their papers we have counts for
9 papers
MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection
Satish Kumar, Ivan Arevalo, ASM Iftekhar +1
Methane (CH) is the chief contributor to global climate change. Recent Airborne Visible-Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) has been very useful in quanti…
Q-RBSA: High-Resolution 3D EBSD Map Generation Using An Efficient Quaternion Transformer Network
Devendra K. Jangid, Neal R. Brodnik, McLean P. Echlin +3
Gathering 3D material microstructural information is time-consuming, expensive, and energy-intensive. Acquisition of 3D data has been accelerated by developments in serial sectioni…
DDS: Decoupled Dynamic Scene-Graph Generation Network
A S M Iftekhar, Raphael Ruschel, Satish Kumar +2
Scene-graph generation involves creating a structural representation of the relationships between objects in a scene by predicting subject-object-relation triplets from input data.…
Generalizable Deepfake Detection with Phase-Based Motion Analysis
Ekta Prashnani, Michael Goebel, B. S. Manjunath
We propose PhaseForensics, a DeepFake (DF) video detection method that leverages a phase-based motion representation of facial temporal dynamics. Existing methods relying on tempor…
Context-Matched Collage Generation for Underwater Invertebrate Detection
R. Austin McEver, Bowen Zhang, B. S. Manjunath
The quality and size of training sets often limit the performance of many state of the art object detectors. However, in many scenarios, it can be difficult to collect images for t…
Context-Driven Detection of Invertebrate Species in Deep-Sea Video
R. Austin McEver, Bowen Zhang, Connor Levenson +2
Each year, underwater remotely operated vehicles (ROVs) collect thousands of hours of video of unexplored ocean habitats revealing a plethora of information regarding biodiversity…
Seam Carving Detection and Localization using Two-Stage Deep Neural Networks
Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed +2
Seam carving is a method to resize an image in a content aware fashion. However, this method can also be used to carve out objects from images. In this paper, we propose a two-step…
Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries
Jawadul H. Bappy, Cody Simons, Lakshmanan Nataraj +2
With advanced image journaling tools, one can easily alter the semantic meaning of an image by exploiting certain manipulation techniques such as copy-clone, object splicing, and r…
Search Tracker: Human-derived object tracking in-the-wild through large-scale search and retrieval
Archith J. Bency, S. Karthikeyan, Carter De Leo +2
Humans use context and scene knowledge to easily localize moving objects in conditions of complex illumination changes, scene clutter and occlusions. In this paper, we present a me…