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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
image representation
biblio
Deep Poisoning: Towards Robust Image Data Sharing against Visual Disclosure
Submitted by grigby1 on Wed, 02/09/2022 - 1:46pm
visualization
Training data
Training
Toxicology
Scalability
Resiliency
resilience
pubcrawl
image representation
Human behavior
Conferences
computer vision
AI Poisoning
biblio
Evading Deepfake-Image Detectors with White- and Black-Box Attacks
Submitted by grigby1 on Thu, 03/04/2021 - 1:35pm
security of data
neural nets
neural network
optimization
Perturbation methods
popular forensic approach
pubcrawl
resilience
Resiliency
Robustness
Metrics
significant vulnerabilities
social networking (online)
state- of-the-art classifier
synthesizer
synthetic content
synthetically-generated content
target classifier
Training
Twitter
fraudulent social media profiles
white box
security
attack case studies
AUC
black-box attack
composability
deepfake-image detectors
disinformation campaigns
Forensics
White Box Security
Generators
image area
image classification
Image forensics
image generators
image representation
image sensors
image-forensic classifiers
learning (artificial intelligence)
biblio
Key Generation for Zero Steganography Using DNA Sequences
Submitted by aekwall on Mon, 02/08/2021 - 12:52pm
flipping operations
image sequences
DNA cryptography
DNA sequences
steganalysis algorithms
cover image
binary code representation
Boats
DNA key generation
Steganography
Image databases
image synthesis
key generation algorithm
low cracking probability
shifting operations
steganographic approach
stego-key generation
zero steganography
privacy
Runtime
security
information security
Resiliency
Human behavior
pubcrawl
data encapsulation
Image coding
Cryptography
probability
DNA
image representation
Resists
object detection
Predictive Metrics
data hiding
Binary codes
biblio
Standardization of Gram Matrix for Improved 3D Neural Style Transfer
Submitted by grigby1 on Fri, 12/11/2020 - 1:53pm
Solid modeling
Metrics
neural net architecture
neural style transfer
pubcrawl
resilience
Resiliency
Scalability
Shape
Mathematical model
standardization
standardized Gram matrix based loss function
stereo image processing
style similarity
Three-dimensional displays
Two dimensional displays
voxel
2D binary monochromatic images
learning (artificial intelligence)
image representation
image colour analysis
Image color analysis
image classification
convolutional neural network architecture
convolutional neural nets
computational geometry
color information
classifier network training
binary models
binary 3D voxel representation
3D voxelized objects
3D neural style transfer
3D geometries
biblio
Separating Style and Content for Generalized Style Transfer
Submitted by aekwall on Mon, 12/07/2020 - 11:11am
Gallium nitride
Training
style reference images
style encoder
Silicon
neural nets
multitask learning scenario
Mixers
learning (artificial intelligence)
learned model
image representation
Image coding
Generators
generalized style transfer network
neural style transfer
feature extraction
Decoding
decoder
convolution
content reference images
content encoder
Chinese Typeface transfer problem
bilinear model
pubcrawl
Predictive Metrics
Resiliency
Scalability
biblio
Learning Compositional Sparse Bimodal Models
Submitted by grigby1 on Mon, 10/05/2020 - 1:02pm
human-robot interaction
visualization
tabletop robotics
tabletop building-blocks setting
symbol grounding
Semantics
Robot sensing systems
red squares
pubcrawl
Poles and towers
Multimodal learning
learning compositional sparse bimodal models
learning (artificial intelligence)
image representation
image colour analysis
Artificial Intelligence
human evaluation studies
encoding
Dictionaries
Compositionality
compositional structure
compositional semantics
compositional learning
compositional elements
compositional basis
colored shapes
blue triangles
bimodal sparse representation
bimodal perceptual domain modeling
bimodal dataset
biblio
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks
Submitted by grigby1 on Mon, 10/05/2020 - 1:01pm
RGB input data
MSTRNN model aid
multiple spatio-temporal scales recurrent neural network model
multiple timescale recurrent dynamics
neural activities
pubcrawl
recurrent neural nets
recurrent neural network
Recurrent neural networks
learning (artificial intelligence)
spatio-temporal constraints
spatio-temporal information extraction
Spatiotemporal phenomena
symbol grounding
Training
visualization
visually perceived compositional human action recognition
different compositionality levels
Biological neural networks
Compositionality
conventional convolutional neural network model
convolution
Convolutional codes
convolutional neural network (CNN)
critical spatio-temporal information
deep learning model
action recognition
dynamic vision processing
feature extraction
feedforward neural nets
gesture recognition
human action datasets
image motion analysis
image representation
biblio
Reinforcement Learning inspired Deep Learned Compositional Model for Decision Making in Tracking
Submitted by grigby1 on Mon, 10/05/2020 - 1:01pm
previous location
neural nets
object tracking
occlusion handling
partial occlusions
partially observable Markov decision making
penalty based training
pose estimation
pose estimation capabilities
multiple large video datasets
pubcrawl
Reinforcement learning
skeleton based part representation
Streaming media
target tracking
tracker
tracking
video signal processing
heuristic methods
Compositional Models
Compositionality
Computational modeling
computer science
Decision Making
deep learned compositional model
Deep Neural Network
deep reinforcement
cluttered background
human bodies
human inputs
image representation
incessant decision making
learning (artificial intelligence)
Markov processes
Mathematical model
biblio
Trademark Image Retrieval Using a Combination of Deep Convolutional Neural Networks
Submitted by grigby1 on Thu, 07/30/2020 - 1:06pm
registered trademarks
ip protection
Combination of convolutional neural networks
content-based image retrieval
convolution
deep convolutional neural networks
feedforward neural nets
image recognition
industrial-intellectual property registration
METU database
Trademarks
Trademark Image Retrieval
trademark image retrieval task
trademark images
trademark protection
trademark registration applications
Trademarks Office
VGG19c
VGG19v
visual similarity
Task Analysis
Human behavior
Human Factors
policy-based governance
resilience
Resiliency
industrial property
composability
content-based retrieval
Metrics
pubcrawl
feature extraction
image classification
visualization
convolutional neural networks
image representation
image retrieval
Shape
patents
trademark registration
biblio
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search
Submitted by grigby1 on Fri, 05/22/2020 - 1:34pm
adversarial image
Web-scale nearest-neighbor search
Web-scale image database
Visual Reasoning
visual databases
representation learning
nearest-neighbor defense settings
Large Scale Methods
ImageNet
image representation
image manifold
Datasets and Evaluation
data distribution
security of data
nearest neighbor search
convolutional networks
adversarial perturbations
nearest neighbour methods
Measurement
Metrics
deep learning
Big Data
internet
pubcrawl
convolutional neural nets
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