activity
20182026
most citedEdgeConnect: Generative Image Inpainting with Adversarial Edge Learning

589 citations · 851 across the 10 of their papers we have counts for

collaborators

13 papers

cs.AI2026

Characterizing a Configuration Where Inference-Time PRM-Pruned Fragment Grafting Is Inert: Evidence from Three Reasoning LMs

Khawaja Murad ul Hassan, Mehran Ebrahimi

Diversity collapse in parallel chain-of-thought has motivated inference-time interventions built on a natural design: when a process reward model (PRM) prunes a chain, its high-PRM…

cs.CV2026

The Diagnosis a Reporter Leaves Unspoken: Surfacing Frozen Tumor Features for Brain-Tumor MRI Reporting

Khawaja Murad ul Hassan, Ruqiyya Adil, Adil Qayyum +4

A capable brain-MRI report generator can still be, in effect, diagnostically silent. When a multi-chain chain-of-thought (CoT) reporter built on a medical Mistral-7B backbone is ev…

cs.CV2026

Signal or Noise? Auditing Rotation-Induced Saliency Drift in Medical and Aerial Imaging

Khawaja Murad ul Hassan, Mehran Ebrahimi

Post-hoc saliency maps such as Grad-CAM are increasingly used to audit why a deployed vision model made a decision, yet the heatmap drifts when the input is rotated, even when the…

eess.IV2022★ 1 cited

Single MR Image Super-Resolution using Generative Adversarial Network

Shawkh Ibne Rashid, Elham Shakibapour, Mehran Ebrahimi

Spatial resolution of medical images can be improved using super-resolution methods. Real Enhanced Super Resolution Generative Adversarial Network (Real-ESRGAN) is one of the recen…

eess.IV2022

Multi-Modality Image Inpainting using Generative Adversarial Networks

Aref Abedjooy, Mehran Ebrahimi

Deep learning techniques, especially Generative Adversarial Networks (GANs) have significantly improved image inpainting and image-to-image translation tasks over the past few year…

eess.IV2022

Multi-Modality Image Super-Resolution using Generative Adversarial Networks

Aref Abedjooy, Mehran Ebrahimi

Over the past few years deep learning-based techniques such as Generative Adversarial Networks (GANs) have significantly improved solutions to image super-resolution and image-to-i…