12 citations · 21 across the 12 of their papers we have counts for
5 papers · 1 filter
Syn-Att: Synthetic Speech Attribution via Semi-Supervised Unknown Multi-Class Ensemble of CNNs
Md Awsafur Rahman, Bishmoy Paul, Najibul Haque Sarker +3
With the huge technological advances introduced by deep learning in audio & speech processing, many novel synthetic speech techniques achieved incredible realistic results. As thes…
Semi-Supervised Semantic Depth Estimation using Symbiotic Transformer and NearFarMix Augmentation
Md Awsafur Rahman, Shaikh Anowarul Fattah
In computer vision, depth estimation is crucial for domains like robotics, autonomous vehicles, augmented reality, and virtual reality. Integrating semantics with depth enhances sc…
CIFF-Net: Contextual Image Feature Fusion for Melanoma Diagnosis
Md Awsafur Rahman, Bishmoy Paul, Tanvir Mahmud +1
Melanoma is considered to be the deadliest variant of skin cancer causing around 75\% of total skin cancer deaths. To diagnose Melanoma, clinicians assess and compare multiple skin…
DwinFormer: Dual Window Transformers for End-to-End Monocular Depth Estimation
Md Awsafur Rahman, Shaikh Anowarul Fattah
Depth estimation from a single image is of paramount importance in the realm of computer vision, with a multitude of applications. Conventional methods suffer from the trade-off be…
ArtiFact: A Large-Scale Dataset with Artificial and Factual Images for Generalizable and Robust Synthetic Image Detection
Md Awsafur Rahman, Bishmoy Paul, Najibul Haque Sarker +2
Synthetic image generation has opened up new opportunities but has also created threats in regard to privacy, authenticity, and security. Detecting fake images is of paramount impo…