2 papers
cs.CV2025
Brain-Gen: Towards Interpreting Neural Signals for Stimulus Reconstruction Using Transformers and Latent Diffusion Models
Hasib Aslam, Muhammad Talal Faiz, Muhammad Imran Malik
Advances in neuroscience and artificial intelligence have enabled preliminary decoding of brain activity. However, despite the progress, the interpretability of neural representati…
cs.CV2024
Block Induced Signature Generative Adversarial Network (BISGAN): Signature Spoofing Using GANs and Their Evaluation
Haadia Amjad, Kilian Goeller, Steffen Seitz +4
Deep learning is actively being used in biometrics to develop efficient identification and verification systems. Handwritten signatures are a common subset of biometric data for au…