14 citations · 20 across the 10 of their papers we have counts for
18 papers
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…
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…
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…
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…
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…
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…