Ali Zia

According to our database, Ali Zia authored at least 33 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Deadline-aware workload scheduling for edge-enhanced iot devices: A blockchain-enabled approach to incentive-based computing.

Muhammad Tayyab Chaudhry, Abdullah Yousafzai, Ali Zia, Shahbaz Akhtar Abid, Farooq Ahmad

Peer Peer Netw. Appl., August, 2025

A Review on Coarse to Fine-Grained Animal Action Recognition.

Ali Zia, Renuka Sharma, Abdelwahed Khamis, Xuesong Li, Muhammad Husnain, Numan Shafi, Saeed Anwar, Sabine Schmoelzl, Eric A. Stone, Lars Petersson, Vivien Rolland

CoRR, June, 2025

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

Haofan Wu, Yin Huang, Yuqing Wu, Qiuyu Yang, Bingfang Wang, Li Zhang, Muhammad Fahadullah Khan, Ali Zia, M. Saleh Memon, Syed Sohail Bukhari, Abdul Fattah Memon, Daizong Ji, Ya Zhang, Ghulam Mustafa, Yin Fang

CoRR, May, 2025

Determining Mosaic Resilience in Sugarcane Plants using Hyperspectral Images.

Ali Zia, Jun Zhou, Muyiwa Olayemi

CoRR, January, 2025

BioNet and NeFF: Crop Biomass Prediction from Point Clouds to Drone Imagery.

Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

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

Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland

CoRR, 2024

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

Zijian Zhu, Ali Zia, Xuesong Li, Bingbing Dan, Yuebo Ma, Hongfeng Long, Kaili Lu, Enhai Liu, Rujin Zhao

CoRR, 2024

SSTD: Stripe-Like Space Target Detection using Single-Point Supervision.

Zijian Zhu, Ali Zia, Xuesong Li, Bingbing Dan, Yuebo Ma, Enhai Liu, Rujin Zhao

CoRR, 2024

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

Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane

CoRR, 2024

Topological deep learning: a review of an emerging paradigm.

Ali Zia, Abdelwahed Khamis, James Nichols, Usman Bashir Tayab, Zeeshan Hayder, Vivien Rolland, Eric A. Stone, Lars Petersson

Artif. Intell. Rev., 2024

A Comparative Analysis of IoT Device Fingerprinting Methods.

Mariam Munsif Mir, Wee Lum Tan, Mohammad Awrangjeb, Ali Zia

Proceedings of the 34th International Telecommunication Networks and Applications Conference, 2024

An Improved IoT Device Fingerprinting via Enhanced Feature Selection.

Mariam Munsif Mir, Mohammad Awrangjeb, Wee Lum Tan, Ali Zia

Proceedings of the 17th International Conference on Signal Processing and Communication System, 2024

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

Muhammad Umer Ramzan, Ali Zia, Abdelwahed Khamis, Ayman Elgharabawy, Ahmad Liaqat, Usman Ali

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

A New Hyperspectral Unmixing Benchmark for Weak Signal Meat Contamination Detection.

Zekun Long, Ali Zia, Jordi Nelis, Vivien Rolland, Jun Zhou

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

MMCBE: Multi-Modality Dataset for Crop Biomass Estimation and Beyond.

Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

2023

High Spectral Spatial Resolution Synthetic HyperSpectral Dataset form multi-source fusion.

Yajie Sun, Ali Zia, Jun Zhou

CoRR, 2023

CVB: A Video Dataset of Cattle Visual Behaviors.

Ali Zia, Renuka Sharma, Reza Arablouei, Greg Bishop-Hurley, Jody McNally, Neil Bagnall, Vivien Rolland, Brano Kusy, Lars Petersson, Aaron Ingham

CoRR, 2023

Spectral 3D Computer Vision - A Review.

Yajie Sun, Ali Zia, Vivien Rolland, Charissa Yu, Jun Zhou

CoRR, 2023

Topological Deep Learning: A Review of an Emerging Paradigm.

Ali Zia, Abdelwahed Khamis, James Nichols, Zeeshan Hayder, Vivien Rolland, Lars Petersson

CoRR, 2023

ICML 2023 Topological Deep Learning Challenge: Design and Results.

Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane

Proceedings of the Topological, 2023

How Do Native and Non-native Listeners Differ? Investigation with Dominant Frequency Bands in Auditory Evoked Potential.

Yifan Zhou, Md. Rakibul Hasan, Md. Mahbub Hasan, Ali Zia, Md. Zakir Hossain

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Multiscale Representations Learning Transformer Framework for Point Cloud Classification.

Yajie Sun, Ali Zia, Jun Zhou

Proceedings of the IEEE International Conference on Image Processing, 2023

Contrastive-Aware ViT for Weakly Supervised Semantic Segmentation.

Pranav Pativada, Zeeshan Hayder, Ali Zia, Nick Barnes

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2021

Exploring Chromatic Aberration and Defocus Blur for Relative Depth Estimation From Monocular Hyperspectral Image.

Ali Zia, Jun Zhou, Yongsheng Gao

IEEE Trans. Image Process., 2021

Early Detection of Sugarcane Smut Disease in Hyperspectral Images.

Dong Bao, Jun Zhou, Shamsul Arafin Bhuiyan, Ali Zia, Rebecca Ford, Yongsheng Gao

Proceedings of the 36th International Conference on Image and Vision Computing New Zealand, 2021

2018

Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral Images.

Suhad Lateef Al-khafaji, Jun Zhou, Ali Zia, Alan Wee-Chung Liew

IEEE Trans. Image Process., 2018

2017

Material Based Boundary Detection in Hyperspectral Images.

Suhad Lateef Al-khafaji, Ali Zia, Jun Zhou, Alan Wee-Chung Liew

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2015

3D Reconstruction from Hyperspectral Images.

Ali Zia, Jie Liang, Jun Zhou, Yongsheng Gao

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Relative Depth Estimation from Hyperspectral Data.

Ali Zia, Jun Zhou, Yongsheng Gao

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

2013

3D Plant Modelling via Hyperspectral Imaging.

Jie Liang, Ali Zia, Jun Zhou, Xavier Sirault

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

2010

Heterogeneous sensor fusion framework for autonomous mobile robot obstacle avoidance.

Ali Zia, Tauseef Gulrez, Tayyab Chaudhry

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Bézier curve based dynamic obstacle avoidance and trajectory learning for autonomous mobile robots.

Tayyab Chaudhry, Tauseef Gulrez, Ali Zia, Shyba Zaheer

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

2008

Content-Based Image Retrieval via Subspace-Projected Salient Features.

Jyun-Hao Huang, Ali Zia, Jun Zhou, Antonio Robles-Kelly

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008