3 papers
cs.CV2026
Do Vision Models Learn Physical Constraints or Rendering Shortcuts? A Counterfactual Benchmark for Grounded Physical Consistency
M. Moein Esfahani, Sepehr Salem, Mohammed Alser +1
Modern image editing models can satisfy a text instruction while breaking the physics of the edited scene. A new object may cast no shadow, a mirror may fail to reflect visible geo…
q-bio.GN2026
FASTR: Reimagining FASTQ via Compact Image-inspired Representation
Adrian Tkachenko, Sepehr Salem, Ayotomiwa Ezekiel Adeniyi +7
Motivation: High-throughput sequencing (HTS) enables population-scale genomics but generates massive datasets, creating bottlenecks in storage, transfer, and analysis. FASTQ, the s…
cs.CV2025
Breast Cancer Detection in Thermographic Images via Diffusion-Based Augmentation and Nonlinear Feature Fusion
Sepehr Salem, M. Moein Esfahani, Jingyu Liu +1
Data scarcity hinders deep learning for medical imaging. We propose a framework for breast cancer classification in thermograms that addresses this using a Diffusion Probabilistic…