8 papers
Deep Neural Networks for Accurate Depth Estimation with Latent Space Features
Siddiqui Muhammad Yasir, Hyunsik Ahn
Depth estimation plays a pivotal role in advancing human-robot interactions, especially in indoor environments where accurate 3D scene reconstruction is essential for tasks like na…
Lightweight Deepfake Detection Based on Multi-Feature Fusion
Siddiqui Muhammad Yasir, Hyun Kim
Deepfake technology utilizes deep learning based face manipulation techniques to seamlessly replace faces in videos creating highly realistic but artificially generated content. Al…
Modeling & Evaluating the Performance of Convolutional Neural Networks for Classifying Steel Surface Defects
Nadeem Jabbar Chaudhry, M. Bilal Khan, M. Javaid Iqbal +1
Recently, outstanding identification rates in image classification tasks were achieved by convolutional neural networks (CNNs). to use such skills, selective CNNs trained on a data…
Faster Metallic Surface Defect Detection Using Deep Learning with Channel Shuffling
Siddiqui Muhammad Yasir, Hyunsik Ahn
Deep learning has been constantly improving in recent years and a significant number of researchers have devoted themselves to the research of defect detection algorithms. Detectio…
3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data
Siddiqui Muhammad Yasir, Amin Muhammad Sadiq, Hyunsik Ahn
3D object recognition is a challenging task for intelligent and robot systems in industrial and home indoor environments. It is critical for such systems to recognize and segment t…
Deep Learning-Based 3D Instance and Semantic Segmentation: A Review
Siddiqui Muhammad Yasir, Hyunsik Ahn
The process of segmenting point cloud data into several homogeneous areas with points in the same region having the same attributes is known as 3D segmentation. Segmentation is cha…