research
∙
04/05/2023
MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection
Methane (CH_4) is the chief contributor to global climate change. Recent...
share
research
∙
03/19/2023
Q-RBSA: High-Resolution 3D EBSD Map Generation Using An Efficient Quaternion Transformer Network
Gathering 3D material microstructural information is time-consuming, exp...
research
∙
01/18/2023
DDS: Decoupled Dynamic Scene-Graph Generation Network
Scene-graph generation involves creating a structural representation of ...
research
∙
12/14/2022
3D Neuron Morphology Analysis
We consider the problem of finding an accurate representation of neuron ...
research
∙
11/17/2022
Generalizable Deepfake Detection with Phase-Based Motion Analysis
We propose PhaseForensics, a DeepFake (DF) video detection method that l...
research
∙
11/15/2022
Context-Matched Collage Generation for Underwater Invertebrate Detection
The quality and size of training sets often limit the performance of man...
research
∙
11/04/2022
MalGrid: Visualization Of Binary Features In Large Malware Corpora
The number of malware is constantly on the rise. Though most new malware...
research
∙
10/07/2022
LOCL: Learning Object-Attribute Composition using Localization
This paper describes LOCL (Learning Object Attribute Composition using L...
research
∙
08/17/2022
Deep Learning Enabled Time-Lapse 3D Cell Analysis
This paper presents a method for time-lapse 3D cell analysis. Specifical...
research
∙
06/01/2022
Context-Driven Detection of Invertebrate Species in Deep-Sea Video
Each year, underwater remotely operated vehicles (ROVs) collect thousand...
research
∙
11/08/2021
OMD: Orthogonal Malware Detection Using Audio, Image, and Static Features
With the growing number of malware and cyber attacks, there is a need fo...
research
∙
11/08/2021
HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis
Malicious PDF documents present a serious threat to various security org...
research
∙
09/04/2021
Seam Carving Detection and Localization using Two-Stage Deep Neural Networks
Seam carving is a method to resize an image in a content aware fashion. ...
research
∙
08/28/2021
SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery
Seam carving is a popular technique for content aware image retargeting....
research
∙
08/02/2021
A computational geometry approach for modeling neuronal fiber pathways
We propose a novel and efficient algorithm to model high-level topologic...
research
∙
08/02/2021
GTNet:Guided Transformer Network for Detecting Human-Object Interactions
The human-object interaction (HOI) detection task refers to localizing h...
research
∙
04/12/2021
Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices
Digital image forensics aims to detect images that have been digitally m...
research
∙
03/22/2021
Adversarially Optimized Mixup for Robust Classification
Mixup is a procedure for data augmentation that trains networks to make ...
research
∙
03/19/2021
Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions
Machine Learning (ML) algorithms are susceptible to adversarial attacks ...
research
∙
01/26/2021
Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning
We propose a novel method to detect and visualize malware through image ...
research
∙
11/18/2020
StressNet: Detecting Stress in Thermal Videos
Precise measurement of physiological signals is critical for the effecti...
research
∙
10/26/2020
Semi supervised segmentation and graph-based tracking of 3D nuclei in time-lapse microscopy
We propose a novel weakly supervised method to improve the boundary of t...
research
∙
10/18/2020
Exploiting Context for Robustness to Label Noise in Active Learning
Several works in computer vision have demonstrated the effectiveness of ...
research
∙
07/27/2020
3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications
In the field of computer vision, unsupervised learning for 2D object gen...
research
∙
07/20/2020
Detection, Attribution and Localization of GAN Generated Images
Recent advances in Generative Adversarial Networks (GANs) have led to th...
research
∙
07/10/2020
PCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision
Current state of the art methods for generating semantic segmentation re...
research
∙
03/11/2020
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
Comprehensive visual understanding requires detection frameworks that ca...
research
∙
07/22/2019
Predicting Clinical Outcome of Stroke Patients with Tractographic Feature
The volume of stroke lesion is the gold standard for predicting the clin...
research
∙
06/29/2019
Improving 3D U-Net for Brain Tumor Segmentation by Utilizing Lesion Prior
We propose a novel, simple and effective method to integrate lesion prio...
research
∙
04/16/2019
Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet
In this work, we utilize T1-weighted MR images and StackNet to predict f...
research
∙
03/15/2019
Detecting GAN generated Fake Images using Co-occurrence Matrices
The advent of Generative Adversarial Networks (GANs) has brought about c...
research
∙
03/06/2019
Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries
With advanced image journaling tools, one can easily alter the semantic ...
research
∙
02/13/2019
Accurate 3D Cell Segmentation using Deep Feature and CRF Refinement
We consider the problem of accurately identifying cell boundaries and la...
research
∙
02/11/2019
Deep Learning Methods for Event Verification and Image Repurposing Detection
The authenticity of images posted on social media is an issue of growing...
research
∙
01/25/2019
Fully Automated Volumetric Classification in CT Scans for Diagnosis and Analysis of Normal Pressure Hydrocephalus
Normal Pressure Hydrocephalus (NPH) is one of the few reversible forms o...
research
∙
12/30/2018
Actor Conditioned Attention Maps for Video Action Detection
Interactions with surrounding objects and people contain important infor...
research
∙
11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
research
∙
07/20/2018
Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction
This paper introduces a novel methodology to integrate human brain conne...
research
∙
03/01/2018
Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis
The amount of digital imagery recorded has recently grown exponentially,...
research
∙
02/09/2018
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis
Realistic image forgeries involve a combination of splicing, resampling,...
research
∙
02/09/2018
Boosting Image Forgery Detection using Resampling Detection and Copy-move analysis
Realistic image forgeries involve a combination of splicing, resampling,...
research
∙
12/20/2017
An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data
We propose a new order preserving bilinear framework that exploits low-r...
research
∙
08/05/2017
Optimizing Region Selection for Weakly Supervised Object Detection
Training object detectors with only image-level annotations is very chal...
research
∙
07/03/2017
Detection and Localization of Image Forgeries using Resampling Features and Deep Learning
Resampling is an important signature of manipulated images. In this pape...
research
∙
06/28/2017
Summarization of ICU Patient Motion from Multimodal Multiview Videos
Clinical observations indicate that during critical care at the hospital...
research
∙
10/16/2016
Beyond Spatial Auto-Regressive Models: Predicting Housing Prices with Satellite Imagery
When modeling geo-spatial data, it is critical to capture spatial correl...
research
∙
03/01/2016
Weakly Supervised Localization using Deep Feature Maps
Object localization is an important computer vision problem with a varie...
research
∙
02/07/2016
Eye-CU: Sleep Pose Classification for Healthcare using Multimodal Multiview Data
Manual analysis of body poses of bed-ridden patients requires staff to c...
research
∙
02/05/2016
