Следене
Muhammad Zubair Irshad
Muhammad Zubair Irshad
Research Scientist, Toyota Research Institute (TRI) | Georgia Institute of Technology
Потвърден имейл адрес: gatech.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation
MZ Irshad, T Kollar, M Laskey, K Stone, Z Kira
International Conference on Robotics and Automation (ICRA), 2022
532022
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation
MZ Irshad, CY Ma, Z Kira
International Conference on Robotics and Automation (ICRA), 2021
522021
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
MZ Irshad, S Zakharov, R Ambrus, T Kollar, Z Kira, A Gaidon
European Conference on Computer Vision (ECCV), 2022
462022
Semantically-aware spatio-temporal reasoning agent for vision-and-language navigation in continuous environments
MZ Irshad, NC Mithun, Z Seymour, HP Chiu, S Samarasekera, R Kumar
2022 26th International Conference on Pattern Recognition (ICPR), 4065-4071, 2022
332022
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects
N Heppert, MZ Irshad, S Zakharov, K Liu, RA Ambrus, J Bohg, A Valada, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
212023
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
MZ Irshad, S Zakharov, K Liu, V Guizilini, T Kollar, A Gaidon, Z Kira, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
172023
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects
M Lunayach, S Zakharov, D Chen, R Ambrus, Z Kira, MZ Irshad
International Conference on Robotics and Automation (ICRA), 2023
52023
NeRF-MAE: Masked AutoEncoders for Self Supervised 3D representation Learning for Neural Radiance Fields
MZ Irshad, S Zakahrov, V Guizilini, A Gaidon, Z Kira, R Ambrus
arXiv preprint arXiv:2404.01300, 2024
12024
Systems and Methods for Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation
MZ Irshad, T Kollar, M Laskey, K Stone
US Patent App. 17/895,224, 2023
12023
ICE-G: Image Conditional Editing of 3D Gaussian Splats
V Jaganathan, HH Huang, MZ Irshad, V Jampani, A Raj, Z Kira
CVPR AI for Content Creation Workshop, 2024
2024
NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
MZ Irshad, S Zakharov, KY Liu, V Guizilini, T Kollar, AD Gaidon, ...
US Patent App. 18/487,956, 2024
2024
NeRF-MAE: Masked AutoEncoders for Self Supervised 3D representation Learning for Neural Radiance Fields
M Zubair Irshad, S Zakahrov, V Guizilini, A Gaidon, Z Kira, R Ambrus
arXiv e-prints, arXiv: 2404.01300, 2024
2024
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
MZ Irshad, S Zakharov, V Guizilini, A Gaidon, Z Kira, R Ambrus
European Conference on Computer Vision (ECCV), 2024
2024
DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation
T Ikeda, S Zakharov, T Ko, MZ Irshad, R Lee, K Liu, R Ambrus, ...
IEEE International Conference on Intelligent Robots and Systems (IROS), 2024
2024
Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
MZ Irshad, S Zakharov, RA Ambrus, AD Gaidon
US Patent App. 17/868,614, 2024
2024
Learning 3D Robotics Perception using Inductive Priors
MZ Irshad
PhD Thesis, Georgia Institute of Technology, 2023
2023
System and Method for Efficient Visual Navigation
HP Chiu, Z Seymour, NC Mithun, S Samarasekera, R Kumar, K Thopalli, ...
US Patent App. 17/554,671, 2022
2022
[Github] Awesome Implicit NeRF Robotics - A curated list of resources on Implicit Neural Representations and NeRF relating to Robotics
MZ Irshad
https://github.com/zubair-irshad/Awesome-Implicit-NeRF-Robotics, 2022
2022
SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments
MZ Irshad, NC Mithun, Z Seymour, HP Chiu, S Samarasekera, R Kumar
International Conference on Pattern Recognition (ICPR), 2021
2021
Supplementary Material for NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
MZ Irshad12, S Zakharov, K Liu, V Guizilini, T Kollar, A Gaidon, Z Kira, ...
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