Hayder, Zeeshan

12 publications

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

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

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, Lars Petersson, Mehrtash Harandi

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

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

ICCVW 2023 Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation Jieming Zhou, Tong Zhang, Zeeshan Hayder, Lars Petersson, Mehrtash Harandi

ICCV 2023 Hyperbolic Audio-Visual Zero-Shot Learning Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson

CVPR 2017 Boundary-Aware Instance Segmentation Zeeshan Hayder, Xuming He, Mathieu Salzmann

ICCV 2017 Playing for Benchmarks Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun

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

ICCV 2015 Structural Kernel Learning for Large Scale Multiclass Object Co-Detection Zeeshan Hayder, Xuming He, Mathieu Salzmann

ECCV 2014 Object Co-Detection via Efficient Inference in a Fully-Connected CRF Zeeshan Hayder, Mathieu Salzmann, Xuming He