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2020 – today
- 2024
[j3]Ali Zia
, Abdelwahed Khamis, James Nichols, Usman Bashir Tayab, Zeeshan Hayder, Vivien Rolland, Eric A. Stone, Lars Petersson:
Topological deep learning: a review of an emerging paradigm. Artif. Intell. Rev. 57(4): 77 (2024)- [i8]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:
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR abs/2402.02441 (2024) - [i7]Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland:
MMCBE: Multi-modality Dataset for Crop Biomass Estimation and Beyond. CoRR abs/2404.11256 (2024) - [i6]Zijian Zhu, Ali Zia, Xuesong Li, Bingbing Dan, Yuebo Ma, Enhai Liu, Rujin Zhao:
SSTD: Stripe-Like Space Target Detection using Single-Point Supervision. CoRR abs/2407.18097 (2024) - [i5]Zijian Zhu, Ali Zia, Xuesong Li, Bingbing Dan, Yuebo Ma, Hongfeng Long, Kaili Lu, Enhai Liu, Rujin Zhao:
Collaborative Static-Dynamic Teaching: A Semi-Supervised Framework for Stripe-Like Space Target Detection. CoRR abs/2408.05029 (2024) - 2023
- [c12]Pranav Pativada, Zeeshan Hayder, Ali Zia, Nick Barnes:
Contrastive-Aware ViT for Weakly Supervised Semantic Segmentation. DICTA 2023: 1-8 - [c11]Yajie Sun, Ali Zia, Jun Zhou:
Multiscale Representations Learning Transformer Framework for Point Cloud Classification. ICIP 2023: 3354-3358 - [c10]Yifan Zhou, Md. Rakibul Hasan, Md. Mahbub Hasan, Ali Zia, Md. Zakir Hossain:
How Do Native and Non-native Listeners Differ? Investigation with Dominant Frequency Bands in Auditory Evoked Potential. ICONIP (9) 2023: 350-361 - [c9]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:
ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 2023: 3-8 - [i4]Ali Zia, Abdelwahed Khamis, James Nichols, Zeeshan Hayder, Vivien Rolland, Lars Petersson:
Topological Deep Learning: A Review of an Emerging Paradigm. CoRR abs/2302.03836 (2023) - [i3]Yajie Sun, Ali Zia, Vivien Rolland, Charissa Yu, Jun Zhou:
Spectral 3D Computer Vision - A Review. CoRR abs/2302.08054 (2023) - [i2]Ali Zia, Renuka Sharma, Reza Arablouei, Greg Bishop-Hurley, Jody McNally, Neil Bagnall, Vivien Rolland, Brano Kusy, Lars Petersson, Aaron Ingham:
CVB: A Video Dataset of Cattle Visual Behaviors. CoRR abs/2305.16555 (2023) - [i1]Yajie Sun, Ali Zia, Jun Zhou:
High Spectral Spatial Resolution Synthetic HyperSpectral Dataset form multi-source fusion. CoRR abs/2309.00005 (2023) - 2021
- [j2]Ali Zia, Jun Zhou, Yongsheng Gao:
Exploring Chromatic Aberration and Defocus Blur for Relative Depth Estimation From Monocular Hyperspectral Image. IEEE Trans. Image Process. 30: 4357-4370 (2021) - [c8]Dong Bao, Jun Zhou, Shamsul Arafin Bhuiyan, Ali Zia, Rebecca Ford, Yongsheng Gao:
Early Detection of Sugarcane Smut Disease in Hyperspectral Images. IVCNZ 2021: 1-6
2010 – 2019
- 2018
- [j1]Suhad Lateef Al-khafaji, Jun Zhou, Ali Zia, Alan Wee-Chung Liew:
Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral Images. IEEE Trans. Image Process. 27(2): 837-850 (2018) - 2017
- [c7]Suhad Lateef Al-khafaji, Ali Zia, Jun Zhou, Alan Wee-Chung Liew:
Material Based Boundary Detection in Hyperspectral Images. DICTA 2017: 1-7 - 2015
- [c6]Ali Zia, Jun Zhou, Yongsheng Gao:
Relative Depth Estimation from Hyperspectral Data. DICTA 2015: 1-7 - [c5]Ali Zia, Jie Liang, Jun Zhou, Yongsheng Gao:
3D Reconstruction from Hyperspectral Images. WACV 2015: 318-325 - 2013
- [c4]Jie Liang, Ali Zia, Jun Zhou, Xavier Sirault:
3D Plant Modelling via Hyperspectral Imaging. ICCV Workshops 2013: 172-177 - 2010
- [c3]Ali Zia, Tauseef Gulrez, Tayyab Chaudhry:
Heterogeneous sensor fusion framework for autonomous mobile robot obstacle avoidance. ISDA 2010: 1052-1058 - [c2]Tayyab Chaudhry, Tauseef Gulrez, Ali Zia, Shyba Zaheer:
Bézier curve based dynamic obstacle avoidance and trajectory learning for autonomous mobile robots. ISDA 2010: 1059-1065
2000 – 2009
- 2008
- [c1]Jyun-Hao Huang, Ali Zia, Jun Zhou, Antonio Robles-Kelly:
Content-Based Image Retrieval via Subspace-Projected Salient Features. DICTA 2008: 593-599
Coauthor Index
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