Performance Comparison of Back Propagation Neural Network and Self Organization Map for Face Detection. - Moeen Tayyab; M. F. Zafar; Zeeshan Hayder; Syed Sohaib Ali (FIT, 2009)

Object Co-detection via Efficient Inference in a Fully-Connected CRF. - Zeeshan Hayder; Mathieu Salzmann; Xuming He 001 (ECCV (3), 2014)

Structural Kernel Learning for Large Scale Multiclass Object Co-detection. - Zeeshan Hayder; Xuming He 001; Mathieu Salzmann (ICCV, 2015)

Learning to Co-Generate Object Proposals with a Deep Structured Network. - Zeeshan Hayder; Xuming He 001; Mathieu Salzmann (CVPR, 2016)

Shape-aware Instance Segmentation. - Zeeshan Hayder; Xuming He 001; Mathieu Salzmann (CoRR, 2016)

Depth Estimation and Blur Removal from a Single Out-of-focus Image. - Saeed Anwar; Zeeshan Hayder; Fatih Porikli (BMVC, 2017)

Boundary-Aware Instance Segmentation. - Zeeshan Hayder; Xuming He 001; Mathieu Salzmann (CVPR, 2017)

Playing for Benchmarks. - Stephan R. Richter; Zeeshan Hayder; Vladlen Koltun (ICCV, 2017)

Deblur and deep depth from single defocus image. - Saeed Anwar; Zeeshan Hayder; Fatih Porikli (Mach. Vis. Appl., 2021)

Contrastive-Aware ViT for Weakly Supervised Semantic Segmentation. - Pranav Pativada; Zeeshan Hayder; Ali Zia; Nick Barnes (DICTA, 2023)

Hyperbolic Audio-visual Zero-shot Learning. - Jie Hong; Zeeshan Hayder; Junlin Han; Pengfei Fang; Mehrtash Harandi; Lars Petersson (ICCV, 2023)

Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation. - Jieming Zhou; Tong Zhang 023; Zeeshan Hayder; Lars Petersson; Mehrtash Harandi (ICCV (Workshops), 2023)

Topological Deep Learning: A Review of an Emerging Paradigm. - Ali Zia; Abdelwahed Khamis; James Nichols; Zeeshan Hayder; Vivien Rolland; Lars Petersson (CoRR, 2023)

Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels. - Nikhel Gupta; Zeeshan Hayder; Ray P. Norris; Minh Huynh; Lars Petersson; X. Rosalind Wang; Heinz Andernach; Bärbel S. Koribalski; Miranda Yew; Evan J. Crawford (CoRR, 2023)

RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts. - Nikhel Gupta; Zeeshan Hayder; Ray P. Norris; Minh Huynh; Lars Petersson (CoRR, 2023)

A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection. - Nikhel Gupta; Zeeshan Hayder; Ray P. Norris; Minh Huynh; Lars Petersson (CoRR, 2023)

Deep Learning Approaches for Seizure Video Analysis: A Review. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Zeeshan Hayder; Norberto Garcia-Cairasco; Lars Petersson; Clinton Fookes; Simon Denman; Aileen McGonigal (CoRR, 2023)

DSGG: Dense Relation Transformer for an End-to-End Scene Graph Generation. - Zeeshan Hayder; Xuming He 001 (CVPR, 2024)

Backpropagation-free Network for 3D Test-time Adaptation. - Yanshuo Wang; Ali Cheraghian; Zeeshan Hayder; Jie Hong; Sameera Ramasinghe; Shafin Rahman; David Ahmedt-Aristizabal; Xuesong Li 001; Lars Petersson; Mehrtash Harandi (CVPR, 2024)

MMCBE: Multi-Modality Dataset for Crop Biomass Estimation and Beyond. - Xuesong Li 001; Zeeshan Hayder; Ali Zia; Connor Cassidy; Shiming Liu; Warwick Stiller; Eric A. Stone; Warren Conaty; Lars Petersson; Vivien Rolland (DICTA, 2024)

Point-Supervised Seagrass Segmentation for 3D Underwater Habitat Mapping. - Miaohua Zhang; Rodrigo Santa Cruz; Yulia Arzhaeva; Xun Li; Brendan Do; Jeremy Oorloff; Mohammad Ali Armin; Zeeshan Hayder; David Ahmedt-Aristizabal (DICTA, 2024)

Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning. - Ali Cheraghian; Zeeshan Hayder; Sameera Ramasinghe; Shafin Rahman; Javad Jafaryahya; Lars Petersson; Mehrtash Harandi (ECCV (41), 2024)

Plant Disease Detection Using Self-Supervised Learning: A Systematic Review. - Abdullah Al Mamun; David Ahmedt-Aristizabal; Miaohua Zhang; Md Ismail Hossen; Zeeshan Hayder; Mohammad Awrangjeb (IEEE Access, 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)

RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey. - Nikhel Gupta; Ray P. Norris; Zeeshan Hayder; Minh Huynh; Lars Petersson; X. Rosalind Wang; Andrew M. Hopkins; Heinz Andernach; Yjan Gordon; Simone Riggi; Miranda Yew; Evan J. Crawford; et al. (CoRR, 2024)

Text-guided 3D Human Motion Generation with Keyframe-based Parallel Skip Transformer. - Zichen Geng; Caren Han; Zeeshan Hayder; Jian Liu 014; Mubarak Shah; Ajmal Mian (CoRR, 2024)

NeFF-BioNet: Crop Biomass Prediction from Point Cloud to Drone Imagery. - Xuesong Li 001; Zeeshan Hayder; Ali Zia; Connor Cassidy; Shiming Liu; Warwick Stiller; Eric A. Stone; Warren Conaty; Lars Petersson; Vivien Rolland (CoRR, 2024)

Auto-Regressive Diffusion for Generating 3D Human-Object Interactions. - Zichen Geng; Zeeshan Hayder; Wei Liu 006; Ajmal Saeed Mian (AAAI, 2025)

BioNet and NeFF: Crop Biomass Prediction from Point Clouds to Drone Imagery. - Xuesong Li 001; Zeeshan Hayder; Ali Zia; Connor Cassidy; Shiming Liu; Warwick Stiller; Eric A. Stone; Warren Conaty; Lars Petersson; Vivien Rolland (WACV, 2025)

UniHM: Universal Human Motion Generation with Object Interactions in Indoor Scenes. - Zichen Geng; Zeeshan Hayder; Wei Liu 006; Ajmal Mian (CoRR, 2025)

ConMamba: Contrastive Vision Mamba for Plant Disease Detection. - Abdullah Al Mamun; Miaohua Zhang; David Ahmedt-Aristizabal; Zeeshan Hayder; Mohammad Awrangjeb (CoRR, 2025)