Dr. Zeeshan Hayder - Research Scientist
Dr. Zeeshan Hayder

Dr. Zeeshan Hayder

Research Scientist

I am a Research Scientist in the Imaging and Computer Vision Group (ICVG) at Data61/CSIRO and an Honorary Lecturer in the College of Engineering, Computing and Cybernetics (CECC) at ANU, specializing in Computer Vision and Machine Learning. My research interests include vision-language models, scene graph generation, algorithms for scene understanding (such as object detection, semantic segmentation, pose estimation, tracking and action localization) and representation learning via self-supervised, weakly-supervised and incremental learning.

Email: {firstname}.{lastname}@csiro.au
Phone: +61 2 6218 3719
Office: CSIRO Data61, Building 801, Clunies Ross St, Acton ACT 2601, Australia

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Selected Publications (All Publications)

Canonical Shape Projection

Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning

Authors: Ali Cheraghian, Zeeshan Hayder, Sameeea Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi

Venue: European Conference on Computer Vision (ECCV) 2024

Dense Scene Graph Generation

DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation

Authors: Zeeshan Hayder, Xuming He

Venue: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

Backpropagation-free Network

Backpropagation-free Network for 3D Test-time Adaptation

Authors: Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi

Venue: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

Topological deep learning

Topological deep learning: a review of an emerging paradigm

Authors: Ali Zia, Abdelwahed Khamis, James Nichols, Usman Bashir Tayab, Zeeshan Hayder, Vivien Rolland, Eric Stone, Lars Petersson

Venue: Artificial Intelligence Review, Springer 2024

Hyperbolic Audio-visual Zero-shot Learning

Hyperbolic Audio-visual Zero-shot Learning

Authors: Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson

Venue: IEEE/CVF International Conference on Computer Vision (ICCV) 2023

Diffusion Model for 3D Human Pose

Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation

Authors: Jieming Zhou, Tong Zhang, Zeeshan Hayder, Lars Petersson, Mehrtash Harandi

Venue: IEEE/CVF International Conference on Computer Vision R6D Workshop (ICCVW) 2023

Multimodal Dataset and Benchmark for Radio Galaxy

A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection

Authors: Nikhel Gupta, Zeeshan Hayder, Ray P Norris, Minh Hyunh, Lars Petersson

Venue: NeurIPS, Machine Learning and the Physical Sciences Workshop 2023