3 papers
cs.LG2026
Adaptive Negative Scheduling for Graph Contrastive Learning
Adnan Ali, Jinlong Li, Syed Muhammad Israr +1
Graph contrastive learning (GCL) has become a central paradigm for self-supervised representation learning in computational intelligence, with applications spanning recommendation,…
cs.CV2025
Single-Reference Text-to-Image Manipulation with Dual Contrastive Denoising Score
Syed Muhmmad Israr, Feng Zhao
Large-scale text-to-image generative models have shown remarkable ability to synthesize diverse and high-quality images. However, it is still challenging to directly apply these mo…
cs.CV2023
A three in one bottom-up framework for simultaneous semantic segmentation, instance segmentation and classification of multi-organ nuclei in digital cancer histology
Ibtihaj Ahmad, Syed Muhammad Israr, Zain Ul Islam
Simultaneous segmentation and classification of nuclei in digital histology play an essential role in computer-assisted cancer diagnosis; however, it remains challenging. The highe…