599 citations · 637 across the 15 of their papers we have counts for
15 papers
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
Lin Geng Foo, Hossein Rahmani, Jun Liu
AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and other media using AI algorithms. Due to its wide range of applications and the potential of…
Distribution-Aligned Diffusion for Human Mesh Recovery
Lin Geng Foo, Jia Gong, Hossein Rahmani +1
Recovering a 3D human mesh from a single RGB image is a challenging task due to depth ambiguity and self-occlusion, resulting in a high degree of uncertainty. Meanwhile, diffusion…
A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image
Zheheng Jiang, Hossein Rahmani, Sue Black +1
Recently, deep learning based approaches have shown promising results in 3D hand reconstruction from a single RGB image. These approaches can be roughly divided into model-based ap…
DiffPose: Toward More Reliable 3D Pose Estimation
Jia Gong, Lin Geng Foo, Zhipeng Fan +3
Monocular 3D human pose estimation is quite challenging due to the inherent ambiguity and occlusion, which often lead to high uncertainty and indeterminacy. On the other hand, diff…
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
Tianjiao Li, Lin Geng Foo, Qiuhong Ke +4
The goal of fine-grained action recognition is to successfully discriminate between action categories with subtle differences. To tackle this, we derive inspiration from the human…
IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition
Yunsheng Pang, Qiuhong Ke, Hossein Rahmani +2
Human interaction recognition is very important in many applications. One crucial cue in recognizing an interaction is the interactive body parts. In this work, we propose a novel…
ERA: Expert Retrieval and Assembly for Early Action Prediction
Lin Geng Foo, Tianjiao Li, Hossein Rahmani +2
Early action prediction aims to successfully predict the class label of an action before it is completely performed. This is a challenging task because the beginning stages of diff…
Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19
Maryam Dialameh, Ali Hamzeh, Hossein Rahmani +2
The rapid outbreak of COVID-19 threatens humans life all around the world. Due to insufficient diagnostic infrastructures, developing an accurate, efficient, inexpensive, and quick…
Human Action Recognition from Various Data Modalities: A Review
Zehua Sun, Qiuhong Ke, Hossein Rahmani +3
Human Action Recognition (HAR) aims to understand human behavior and assign a label to each action. It has a wide range of applications, and therefore has been attracting increasin…
A Disk Scheduling Algorithm Based on ANT Colony Optimization
Hossein Rahmani, Sajjad Arshad, Mohsen Ebrahimi Moghaddam
Audio, animations and video belong to a class of data known as delay sensitive because they are sensitive to delays in presentation to the users. Also, because of huge data in such…
Learning a Deep Model for Human Action Recognition from Novel Viewpoints
Hossein Rahmani, Ajmal Mian, Mubarak Shah
Recognizing human actions from unknown and unseen (novel) views is a challenging problem. We propose a Robust Non-Linear Knowledge Transfer Model (R-NKTM) for human action recognit…
Action Classification with Locality-constrained Linear Coding
Hossein Rahmani, Arif Mahmood, Du Huynh +1
We propose an action classification algorithm which uses Locality-constrained Linear Coding (LLC) to capture discriminative information of human body variations in each spatiotempo…
HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition
Hossein Rahmani, Arif Mahmood, Du Q. Huynh +1
Existing techniques for 3D action recognition are sensitive to viewpoint variations because they extract features from depth images which change significantly with viewpoint. In co…
Histogram of Oriented Principal Components for Cross-View Action Recognition
Hossein Rahmani, Arif Mahmood, Du Huynh +1
Existing techniques for 3D action recognition are sensitive to viewpoint variations because they extract features from depth images which are viewpoint dependent. In contrast, we d…
A Novel Scheme for Intelligent Recognition of Pornographic Images
Seyed Mostafa Kia, Hossein Rahmani, Reza Mortezaei +2
Harmful contents are rising in internet day by day and this motivates the essence of more research in fast and reliable obscene and immoral material filtering. Pornographic image r…