activity
20222026
most citedTopological Deep Learning: A Review of an Emerging Paradigm

58 citations · 92 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

WS-Net: Weak-Signal Representation Learning and Gated Abundance Reconstruction for Hyperspectral Unmixing via State-Space and Weak Signal Attention Fusion

Zekun Long, Ali Zia, Guanyiman Fu +2

Weak spectral responses in hyperspectral images are often obscured by dominant endmembers and sensor noise, resulting in inaccurate abundance estimation. This paper introduces WS-N…

cs.RO2025

3D Gaussian Representations with Motion Trajectory Field for Dynamic Scene Reconstruction

Xuesong Li, Lars Petersson, Vivien Rolland

This paper addresses the challenge of novel-view synthesis and motion reconstruction of dynamic scenes from monocular video, which is critical for many robotic applications. Althou…

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…

cs.CV2024

DGNS: Deformable Gaussian Splatting and Dynamic Neural Surface for Monocular Dynamic 3D Reconstruction

Xuesong Li, Jinguang Tong, Jie Hong +2

Dynamic scene reconstruction from monocular video is essential for real-world applications. We introduce DGNS, a hybrid framework integrating \underline{D}eformable \underline{G}au…

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

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.CV2023★ 5 cited

CVB: A Video Dataset of Cattle Visual Behaviors

Ali Zia, Renuka Sharma, Reza Arablouei +7

Existing image/video datasets for cattle behavior recognition are mostly small, lack well-defined labels, or are collected in unrealistic controlled environments. This limits the u…

cs.LG2023★ 20 cited

Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey

Abdelwahed Khamis, Russell Tsuchida, Mohamed Tarek +2

Optimal Transport (OT) is a mathematical framework that first emerged in the eighteenth century and has led to a plethora of methods for answering many theoretical and applied ques…

cs.CV2023★ 5 cited

Spectral 3D Computer Vision -- A Review

Yajie Sun, Ali Zia, Vivien Rolland +2

Spectral 3D computer vision examines both the geometric and spectral properties of objects. It provides a deeper understanding of an object's physical properties by providing infor…

cs.LG2023★ 58 cited

Topological Deep Learning: A Review of an Emerging Paradigm

Ali Zia, Abdelwahed Khamis, James Nichols +3

Topological data analysis (TDA) provides insight into data shape. The summaries obtained by these methods are principled global descriptions of multi-dimensional data whilst exhibi…

astro-ph.IM2022★ 3 cited

SPARKESX: Single-dish PARKES data sets for finding the uneXpected -- A data challenge

Suk Yee Yong, George Hobbs, Minh T. Huynh +6

New classes of astronomical objects are often discovered serendipitously. The enormous data volumes produced by recent high-time resolution, radio-telescope surveys imply that effi…