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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 2024Show all

6 papers · 1 filter

cs.CV2024

Locally-Focused Face Representation for Sketch-to-Image Generation Using Noise-Induced Refinement

Muhammad Umer Ramzan, Ali Zia, Abdelwahed Khamis +3

This paper presents a novel deep-learning framework that significantly enhances the transformation of rudimentary face sketches into high-fidelity colour images. Employing a Convol…

cs.CV2024★ 1 cited

NeFF-BioNet: Crop Biomass Prediction from Point Cloud to Drone Imagery

Xuesong Li, Zeeshan Hayder, Ali Zia +7

Crop biomass offers crucial insights into plant health and yield, making it essential for crop science, farming systems, and agricultural research. However, current measurement met…

cs.CV2024

Collaborative Static-Dynamic Teaching: A Semi-Supervised Framework for Stripe-Like Space Target Detection

Zijian Zhu, Ali Zia, Xuesong Li +6

Stripe-like space target detection (SSTD) is crucial for space situational awareness. Traditional unsupervised methods often fail in low signal-to-noise ratio and variable stripe-l…

cs.CV2024

SSTD: Stripe-Like Space Target Detection Using Single-Point Weak Supervision

Zijian Zhu, Ali Zia, Xuesong Li +4

Stripe-like space target detection (SSTD) plays a key role in enhancing space situational awareness and assessing spacecraft behaviour. This domain faces three challenges: the lack…

cs.CV2024

MMCBE: Multi-modality Dataset for Crop Biomass Prediction and Beyond

Xuesong Li, Zeeshan Hayder, Ali Zia +7

Crop biomass, a critical indicator of plant growth, health, and productivity, is invaluable for crop breeding programs and agronomic research. However, the accurate and scalable qu…

cs.LG2024★ 2 cited

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains

Mustafa Hajij, Mathilde Papillon, Florian Frantzen +40

We introduce TopoX, a Python software suite that provides reliable and user-friendly building blocks for computing and machine learning on topological domains that extend graphs: h…