activity
20142026
most citedAutomatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree

98 citations · 240 across the 23 of their papers we have counts for

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13 papers · 1 filter

cs.CV2026

GenSyn10: A Multi-Generative AI Dataset For Benchmarking Image Classification

Md Faraz Kabir Khan, Saeed Anwar, Ghulam Mubashar Hassan

The rapid advancement of generative AI has outpaced our ability to reliably detect its outputs, particularly when detectors encounter generators they have not seen before. We intro…

cs.CV2026

RI-Mamba: Rotation-Invariant Mamba for Robust Text-to-Shape Retrieval

Khanh Nguyen, Dasith de Silva Edirimuni, Ghulam Mubashar Hassan +1

3D assets have rapidly expanded in quantity and diversity due to the growing popularity of virtual reality and gaming. As a result, text-to-shape retrieval has become essential in…

cs.CV2025

Retrieving Objects from 3D Scenes with Box-Guided Open-Vocabulary Instance Segmentation

Khanh Nguyen, Dasith de Silva Edirimuni, Ghulam Mubashar Hassan +1

Locating and retrieving objects from scene-level point clouds is a challenging problem with broad applications in robotics and augmented reality. This task is commonly formulated a…

cs.CV2025

DRBD-Mamba for Robust and Efficient Brain Tumor Segmentation with Analytical Insights

Danish Ali, Ajmal Mian, Naveed Akhtar +1

Accurate brain tumor segmentation is significant for clinical diagnosis and treatment but remains challenging due to tumor heterogeneity. Mamba-based State Space Models have demons…

cs.CV2025

Deeper Diffusion Models Amplify Bias

Shahin Hakemi, Naveed Akhtar, Ghulam Mubashar Hassan +1

Despite the remarkable performance of generative Diffusion Models (DMs), their internal working is still not well understood, which is potentially problematic. This paper focuses o…

cs.CV2025

Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition

Khanh Nguyen, Ghulam Mubashar Hassan, Ajmal Mian

Recent open-world representation learning approaches have leveraged CLIP to enable zero-shot 3D object recognition. However, performance on real point clouds with occlusions still…

cs.CV2025★ 25 cited

SDFA: Structure Aware Discriminative Feature Aggregation for Efficient Human Fall Detection in Video

Sania Zahan, Ghulam Mubashar Hassan, Ajmal Mian

Older people are susceptible to fall due to instability in posture and deteriorating health. Immediate access to medical support can greatly reduce repercussions. Hence, there is a…

cs.CV2025

Modeling Human Skeleton Joint Dynamics for Fall Detection

Sania Zahan, Ghulam Mubashar Hassan, Ajmal Mian

The increasing pace of population aging calls for better care and support systems. Falling is a frequent and critical problem for elderly people causing serious long-term health is…

cs.CV2025

Single-weight Model Editing for Post-hoc Spurious Correlation Neutralization

Shahin Hakemi, Naveed Akhtar, Ghulam Mubashar Hassan +1

Neural network training tends to exploit the simplest features as shortcuts to greedily minimize training loss. However, some of these features might be spuriously correlated with…

cs.CV2023★ 2 cited

SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

Afsah Saleem, Zaid Ilyas, David Suter +7

Abdominal Aortic Calcification (AAC) is a known marker of asymptomatic Atherosclerotic Cardiovascular Diseases (ASCVDs). AAC can be observed on Vertebral Fracture Assessment (VFA)…

cs.CV2023

Human Gesture and Gait Analysis for Autism Detection

Sania Zahan, Zulqarnain Gilani, Ghulam Mubashar Hassan +1

Autism diagnosis presents a major challenge due to the vast heterogeneity of the condition and the elusive nature of early detection. Atypical gait and gesture patterns are dominan…

cs.CV2022★ 8 cited

Vision Transformer Based Model for Describing a Set of Images as a Story

Zainy M. Malakan, Ghulam Mubashar Hassan, Ajmal Mian

Visual Story-Telling is the process of forming a multi-sentence story from a set of images. Appropriately including visual variation and contextual information captured inside the…

cs.CV2014★ 12 cited

A Comparative Study of Techniques of Distant Reconstruction of Displacement Fields by using DISTRESS Simulator

Ghulam Mubashar Hassan, Arcady V. Dyskin, Cara K. MacNish

Reconstruction and monitoring of displacement and strain fields is an important problem in engineering. We analyze the remote and non-obtrusive methods of strain measurement based…