Zeeshan Hayder

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 22

Top Topics

Computer Vision Algorithms

Weakly Supervised

Efficient Inference

Top Venues

Artif. Intell. Rev.

Publications

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, Stanislav Shabala, Tessa Vernstrom, Joshua R. Marvil
RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey. CoRR (2024)
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 (2024)
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 (2024)
Zeeshan Hayder, Xuming He
DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation. CoRR (2024)
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) (2024)
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 (2024)
Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson
A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection. CoRR (2023)
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 (2023)
Pranav Pativada, Zeeshan Hayder, Ali Zia, Nick Barnes
Contrastive-Aware ViT for Weakly Supervised Semantic Segmentation. DICTA (2023)
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 (2023)
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 (2023)
Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson
Hyperbolic Audio-visual Zero-shot Learning. ICCV (2023)
Jieming Zhou, Tong Zhang, Zeeshan Hayder, Lars Petersson, Mehrtash Harandi
Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation. ICCV (Workshops) (2023)
Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson
Hyperbolic Audio-visual Zero-shot Learning. CoRR (2023)
Ali Zia, Abdelwahed Khamis, James Nichols, Zeeshan Hayder, Vivien Rolland, Lars Petersson
Topological Deep Learning: A Review of an Emerging Paradigm. CoRR (2023)
Saeed Anwar, Zeeshan Hayder, Fatih Porikli
Deblur and deep depth from single defocus image. Mach. Vis. Appl. 32 (1) (2021)
Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun
Playing for Benchmarks. CoRR (2017)
Saeed Anwar, Zeeshan Hayder, Fatih Porikli
Depth Estimation and Blur Removal from a Single Out-of-focus Image. BMVC (2017)
Zeeshan Hayder, Xuming He, Mathieu Salzmann
Boundary-Aware Instance Segmentation. CVPR (2017)
Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun
Playing for Benchmarks. ICCV (2017)
Zeeshan Hayder, Xuming He, Mathieu Salzmann
Shape-aware Instance Segmentation. CoRR (2016)
Zeeshan Hayder, Xuming He, Mathieu Salzmann
Learning to Co-Generate Object Proposals with a Deep Structured Network. CVPR (2016)
Zeeshan Hayder, Xuming He, Mathieu Salzmann
Structural Kernel Learning for Large Scale Multiclass Object Co-detection. ICCV (2015)
Zeeshan Hayder, Mathieu Salzmann, Xuming He
Object Co-detection via Efficient Inference in a Fully-Connected CRF. ECCV (3) (2014)
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)