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Zeeshan Hayder
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2020 – today
- 2024
- [j2]Ali Zia
, Abdelwahed Khamis, James Nichols, Usman Bashir Tayab, Zeeshan Hayder, Vivien Rolland
Topological deep learning: a review of an emerging paradigm. Artif. Intell. Rev. 57(4): 77 (2024) - [c12]Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi:
Backpropagation-free Network for 3D Test-time Adaptation. CVPR 2024: 23231-23241 - [c11]Zeeshan Hayder, Xuming He:
DSGG: Dense Relation Transformer for an End-to-End Scene Graph Generation. CVPR 2024: 28317-28326 - [i13]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, Bärbel S. Koribalski, Miroslav D. Filipovic, Anna D. Kapinska
RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey. CoRR abs/2403.14235 (2024) - [i12]Zeeshan Hayder, Xuming He:
DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation. CoRR abs/2403.14886 (2024) - [i11]Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi:
Backpropagation-free Network for 3D Test-time Adaptation. CoRR abs/2403.18442 (2024) - [i10]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) - [i9]Zichen Geng, Caren Han, Zeeshan Hayder, Jian Liu, Mubarak Shah, Ajmal Mian:
Text-guided 3D Human Motion Generation with Keyframe-based Parallel Skip Transformer. CoRR abs/2405.15439 (2024) - 2023
- [c10]Pranav Pativada, Zeeshan Hayder, Ali Zia, Nick Barnes:
Contrastive-Aware ViT for Weakly Supervised Semantic Segmentation. DICTA 2023: 1-8 - [c9]Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Hyperbolic Audio-visual Zero-shot Learning. ICCV 2023: 7839-7849 - [c8]Jieming Zhou, Tong Zhang, Zeeshan Hayder, Lars Petersson, Mehrtash Harandi:
Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation. ICCV (Workshops) 2023: 2084-2094 - [i8]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) - [i7]Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson, X. Rosalind Wang, Heinz Andernach, Bärbel S. Koribalski, Miranda Yew, Evan J. Crawford:
Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels. CoRR abs/2308.05166 (2023) - [i6]Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Hyperbolic Audio-visual Zero-shot Learning. CoRR abs/2308.12558 (2023) - [i5]Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson:
RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts. CoRR abs/2312.00306 (2023) - [i4]Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson:
A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection. CoRR abs/2312.06728 (2023) - [i3]David Ahmedt-Aristizabal, Mohammad Ali Armin, Zeeshan Hayder, Norberto Garcia-Cairasco, Lars Petersson, Clinton Fookes, Simon Denman, Aileen McGonigal:
Deep Learning Approaches for Seizure Video Analysis: A Review. CoRR abs/2312.10930 (2023) - 2021
- [j1]Saeed Anwar
Deblur and deep depth from single defocus image. Mach. Vis. Appl. 32(1): 34 (2021)
2010 – 2019
- 2017
- [c7]Saeed Anwar, Zeeshan Hayder, Fatih Porikli:
Depth Estimation and Blur Removal from a Single Out-of-focus Image. BMVC 2017 - [c6]Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Boundary-Aware Instance Segmentation. CVPR 2017: 587-595 - [c5]Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun:
Playing for Benchmarks. ICCV 2017: 2232-2241 - [i2]Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun:
Playing for Benchmarks. CoRR abs/1709.07322 (2017) - 2016
- [c4]Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Learning to Co-Generate Object Proposals with a Deep Structured Network. CVPR 2016: 2565-2573 - [i1]Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Shape-aware Instance Segmentation. CoRR abs/1612.03129 (2016) - 2015
- [c3]Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Structural Kernel Learning for Large Scale Multiclass Object Co-detection. ICCV 2015: 2632-2640 - 2014
- [c2]Zeeshan Hayder, Mathieu Salzmann, Xuming He:
Object Co-detection via Efficient Inference in a Fully-Connected CRF. ECCV (3) 2014: 330-345
2000 – 2009
- 2009
- [c1]Moeen Tayyab, M. F. Zafar, Zeeshan Hayder, Syed Sohaib Ali:
Performance Comparison of Back Propagation Neural Network and Self Organization Map for Face Detection. FIT 2009: 28:1-28:7
Coauthor Index
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