Zeeshan Hayder

44 papers A* 8A 2Misc 4Journal 27Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
BiFM: Bidirectional Flow Matching for Few-Step Image Editing and Generation.
CoRR
Yasong Dai, Zeeshan Hayder, David Ahmedt-Aristizabal, Hongdong Li
2026 J jnl
ConMamba: Contrastive vision Mamba for plant disease detection.
Pattern Recognit.
Abdullah Al Mamun, Miaohua Zhang, David Ahmedt-Aristizabal, Zeeshan Hayder, Mohammad Awrangjeb
2026 J jnl
Disentangled Hierarchical VAE for 3D Human-Human Interaction Generation.
CoRR
Zichen Geng, Zeeshan Hayder, Bo Miao, Jian Liu, Wei Liu, Ajmal Mian
2025 J jnl
ARMFlow: AutoRegressive MeanFlow for Online 3D Human Reaction Generation.
CoRR
Zichen Geng, Zeeshan Hayder, Wei Liu, Hesheng Wang, Ajmal Mian
2025 A* conf
Auto-Regressive Diffusion for Generating 3D Human-Object Interactions.
AAAI
Zichen Geng, Zeeshan Hayder, Wei Liu, Ajmal Saeed Mian
2025 J jnl
Auto-Regressive Diffusion for Generating 3D Human-Object Interactions.
CoRR
Zichen Geng, Zeeshan Hayder, Wei Liu, Ajmal Saeed Mian
2025 A conf
BioNet and NeFF: Crop Biomass Prediction from Point Clouds to Drone Imagery.
WACV
Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland
2025 J jnl
ConMamba: Contrastive Vision Mamba for Plant Disease Detection.
CoRR
Abdullah Al Mamun, Miaohua Zhang, David Ahmedt-Aristizabal, Zeeshan Hayder, Mohammad Awrangjeb
2025 J jnl
PSMamba: Progressive Self-supervised Vision Mamba for Plant Disease Recognition.
CoRR
Abdullah Al Mamun, Miaohua Zhang, David Ahmedt-Aristizabal, Zeeshan Hayder, Mohammad Awrangjeb
2025 J jnl
Quality-Driven and Diversity-Aware Sample Expansion for Robust Marine Obstacle Segmentation.
CoRR
Miaohua Zhang, Mohammad Ali Armin, Xuesong Li, Sisi Liang, Lars Petersson, Changming Sun, David Ahmedt-Aristizabal, Zeeshan Hayder
2025 J jnl
StateSpace-SSL: Linear-Time Self-supervised Learning for Plant Disease Detection.
CoRR
Abdullah Al Mamun, Miaohua Zhang, David Ahmedt-Aristizabal, Zeeshan Hayder, Mohammad Awrangjeb
2025 J jnl
UniHM: Universal Human Motion Generation with Object Interactions in Indoor Scenes.
CoRR
Zichen Geng, Zeeshan Hayder, Wei Liu, Ajmal Mian
2024 A* conf
Backpropagation-free Network for 3D Test-time Adaptation.
CVPR
Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi
2024 J jnl
Backpropagation-free Network for 3D Test-time Adaptation.
CoRR
Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi
2024 — conf
Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning.
ECCV (41)
Ali Cheraghian, Zeeshan Hayder, Sameera Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi
2024 A* conf
DSGG: Dense Relation Transformer for an End-to-End Scene Graph Generation.
CVPR
Zeeshan Hayder, Xuming He
2024 J jnl
DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation.
CoRR
Zeeshan Hayder, Xuming He
2024 Misc conf
MMCBE: Multi-Modality Dataset for Crop Biomass Estimation and Beyond.
DICTA
Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland
2024 J jnl
MMCBE: Multi-modality Dataset for Crop Biomass Estimation and Beyond.
CoRR
Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland
2024 J jnl
NeFF-BioNet: Crop Biomass Prediction from Point Cloud to Drone Imagery.
CoRR
Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland
2024 J jnl
Plant Disease Detection Using Self-Supervised Learning: A Systematic Review.
IEEE Access
Abdullah Al Mamun, David Ahmedt-Aristizabal, Miaohua Zhang, Md Ismail Hossen, Zeeshan Hayder, Mohammad Awrangjeb
2024 Misc conf
Point-Supervised Seagrass Segmentation for 3D Underwater Habitat Mapping.
DICTA
Miaohua Zhang, Rodrigo Santa Cruz, Yulia Arzhaeva, Xun Li, Brendan Do, Jeremy Oorloff, Mohammad Ali Armin, Zeeshan Hayder, David Ahmedt-Aristizabal
2024 J jnl
RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey.
CoRR
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
2024 J jnl
Text-guided 3D Human Motion Generation with Keyframe-based Parallel Skip Transformer.
CoRR
Zichen Geng, Caren Han, Zeeshan Hayder, Jian Liu, Mubarak Shah, Ajmal Mian
2024 J jnl
Topological deep learning: a review of an emerging paradigm.
Artif. Intell. Rev.
Ali Zia, Abdelwahed Khamis, James Nichols, Usman Bashir Tayab, Zeeshan Hayder, Vivien Rolland, Eric A. Stone, Lars Petersson
2023 J jnl
A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection.
CoRR
Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson
2023 Misc conf
Contrastive-Aware ViT for Weakly Supervised Semantic Segmentation.
DICTA
Pranav Pativada, Zeeshan Hayder, Ali Zia, Nick Barnes
2023 J jnl
Deep Learning Approaches for Seizure Video Analysis: A Review.
CoRR
David Ahmedt-Aristizabal, Mohammad Ali Armin, Zeeshan Hayder, Norberto Garcia-Cairasco, Lars Petersson, Clinton Fookes, Simon Denman, Aileen McGonigal
2023 J jnl
Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels.
CoRR
Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson, X. Rosalind Wang, Heinz Andernach, Bärbel S. Koribalski, Miranda Yew, Evan J. Crawford
2023 — conf
Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation.
ICCV (Workshops)
Jieming Zhou, Tong Zhang, Zeeshan Hayder, Lars Petersson, Mehrtash Harandi
2023 A* conf
Hyperbolic Audio-visual Zero-shot Learning.
ICCV
Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2023 J jnl
Hyperbolic Audio-visual Zero-shot Learning.
CoRR
Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2023 J jnl
RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts.
CoRR
Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson
2023 J jnl
Topological Deep Learning: A Review of an Emerging Paradigm.
CoRR
Ali Zia, Abdelwahed Khamis, James Nichols, Zeeshan Hayder, Vivien Rolland, Lars Petersson
2021 J jnl
Deblur and deep depth from single defocus image.
Mach. Vis. Appl.
Saeed Anwar, Zeeshan Hayder, Fatih Porikli
2017 A* conf
Boundary-Aware Instance Segmentation.
CVPR
Zeeshan Hayder, Xuming He, Mathieu Salzmann
2017 A conf
Depth Estimation and Blur Removal from a Single Out-of-focus Image.
BMVC
Saeed Anwar, Zeeshan Hayder, Fatih Porikli
2017 A* conf
Playing for Benchmarks.
ICCV
Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun
2017 J jnl
Playing for Benchmarks.
CoRR
Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun
2016 A* conf
Learning to Co-Generate Object Proposals with a Deep Structured Network.
CVPR
Zeeshan Hayder, Xuming He, Mathieu Salzmann
2016 J jnl
Shape-aware Instance Segmentation.
CoRR
Zeeshan Hayder, Xuming He, Mathieu Salzmann
2015 A* conf
Structural Kernel Learning for Large Scale Multiclass Object Co-detection.
ICCV
Zeeshan Hayder, Xuming He, Mathieu Salzmann
2014 — conf
Object Co-detection via Efficient Inference in a Fully-Connected CRF.
ECCV (3)
Zeeshan Hayder, Mathieu Salzmann, Xuming He
2009 Misc conf
Performance Comparison of Back Propagation Neural Network and Self Organization Map for Face Detection.
FIT
Moeen Tayyab, M. F. Zafar, Zeeshan Hayder, Syed Sohaib Ali