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20232026
most citedTopological Deep Learning: A Review of an Emerging Paradigm

58 citations · 73 across the 25 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CV2025

2D_3D Feature Fusion via Cross-Modal Latent Synthesis and Attention Guided Restoration for Industrial Anomaly Detection

Usman Ali, Ali Zia, Abdul Rehman +5

Industrial anomaly detection (IAD) increasingly benefits from integrating 2D and 3D data, but robust cross-modal fusion remains challenging. We propose a novel unsupervised framewo…

cs.CV2025

Split-Fuse-Transport: Annotation-Free Saliency via Dual Clustering and Optimal Transport Alignment

Muhammad Umer Ramzan, Ali Zia, Abdelwahed Khamis +3

Salient object detection (SOD) aims to segment visually prominent regions in images and serves as a foundational task for various computer vision applications. We posit that SOD ca…

cs.AI2025

Hypergraph Contrastive Sensor Fusion for Multimodal Fault Diagnosis in Induction Motors

Usman Ali, Ali Zia, Waqas Ali +4

Reliable induction motor (IM) fault diagnosis is vital for industrial safety and operational continuity, mitigating costly unplanned downtime. Conventional approaches often struggl…

cs.CV2025

A Review on Coarse to Fine-Grained Animal Action Recognition

Ali Zia, Renuka Sharma, Abdelwahed Khamis +8

This review provides an in-depth exploration of the field of animal action recognition, focusing on coarse-grained (CG) and fine-grained (FG) techniques. The primary aim is to exam…

eess.IV2025

Multi-Scale Target-Aware Representation Learning for Fundus Image Enhancement

Haofan Wu, Yin Huang, Yuqing Wu +12

High-quality fundus images provide essential anatomical information for clinical screening and ophthalmic disease diagnosis. Yet, due to hardware limitations, operational variabili…

cs.CV2025

Determining Mosaic Resilience in Sugarcane Plants using Hyperspectral Images

Ali Zia, Jun Zhou, Muyiwa Olayemi

Sugarcane mosaic disease poses a serious threat to the Australian sugarcane industry, leading to yield losses of up to 30% in susceptible varieties. Existing manual inspection meth…