Search Results for author:
Found 14 papers, 4 papers with code
AI-Generated Video Detection via Spatio-Temporal Anomaly Learning
The advancement of generation models has led to the emergence of highly realistic artificial intelligence (AI)-generated videos.
Progressive Feedback-Enhanced Transformer for Image Forgery Localization
In this paper, we propose a Progressive FeedbACk-enhanced Transformer (ProFact) network to achieve coarse-to-fine image forgery localization.
Transferable Adversarial Attack on Image Tampering Localization
The black-box attack is achieved by relying on the transferability of such adversarial examples to different localizers.
Spatio-temporal Co-attention Fusion Network for Video Splicing Localization
Digital video splicing has become easy and ubiquitous.
Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusion
Powerful manipulation techniques have made digital image forgeries be easily created and widespread without leaving visual anomalies.
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement
We first present an empirical analysis on the problems and opportunities of training MoE models, which motivates us to overcome the routing imbalance and fluctuation problems by a dynamic expert management and device placement mechanism.
Black-Box Attack against GAN-Generated Image Detector with Contrastive Perturbation
It is significant to assess the vulnerability of such forensic detectors against adversarial attacks.
Effective Image Tampering Localization with Multi-Scale ConvNeXt Feature Fusion
With the widespread use of powerful image editing tools, image tampering becomes easy and realistic.
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments
This paper proposed a hierarchical transformers MADDPG based on RNN which we call it Hierarchical RNNs-Based Transformers MADDPG(HRTMADDPG).
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Exploring the energy-dependent radiation properties in dissipative magnetospheres with Fermi pulsars
The equatorial current sheets outside the light cylinder(LC) are thought as the promising site of the high energy emission based on the results of the recent numerical simulations.
High Energy Astrophysical Phenomena
Resampling detection of recompressed images via dual-stream convolutional neural network
Resampling detection plays an important role in identifying image tampering, such as image splicing.
Acceleration of Histogram-Based Contrast Enhancement via Selective Downsampling
In this paper, we propose a general framework to accelerate the universal histogram-based image contrast enhancement (CE) algorithms.
Contrast Enhancement of Brightness-Distorted Images by Improved Adaptive Gamma Correction
The novel strategy of negative images is used to realize CE of the bright images, and the gamma correction modulated by truncated CDF is employed to enhance the dimmed ones.
Enhanced Particle Swarm Optimization Algorithms for Multiple-Input Multiple-Output System Modelling using Convolved Gaussian Process Models
This allows a superior performance of using CGP than standard Gaussian Process (GP) in the modelling of Multiple-Input Multiple-Output (MIMO) systems when observations are missing for some of outputs.
