Muhammad Zubair Irshad

According to our database, Muhammad Zubair Irshad authored at least 24 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting.

Shengjie Lin, Jiading Fang, Muhammad Zubair Irshad, Vitor Campagnolo Guizilini, Rares Andrei Ambrus, Greg Shakhnarovich, Matthew R. Walter

CoRR, June, 2025

GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity.

Takuya Ikeda, Sergey Zakharov, Muhammad Zubair Irshad, Istvan Balazs Opra, Shun Iwase, Dian Chen, Mark Tjersland, Robert Lee, Alexandre Dilly, Rares Ambrus, Koichi Nishiwaki

CoRR, May, 2025

Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware.

Justin Yu, Letian Fu, Huang Huang, Karim El-Refai, Rares Andrei Ambrus, Richard Cheng, Muhammad Zubair Irshad, Ken Goldberg

CoRR, May, 2025

FastMap: Revisiting Dense and Scalable Structure from Motion.

Jiahao Li, Haochen Wang, Muhammad Zubair Irshad, Igor Vasiljevic, Matthew R. Walter, Vitor Campagnolo Guizilini, Greg Shakhnarovich

CoRR, May, 2025

ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping.

Shun Iwase, Muhammad Zubair Irshad, Katherine Liu, Vitor Guizilini, Robert Lee, Takuya Ikeda, Ayako Amma, Koichi Nishiwaki, Kris Kitani, Rares Ambrus, Sergey Zakharov

CoRR, April, 2025

Persistent Object Gaussian Splat (POGS) for Tracking Human and Robot Manipulation of Irregularly Shaped Objects.

Justin Yu, Kush Hari, Karim El-Refai, Arnav Dalal, Justin Kerr, Chung Min Kim, Richard Cheng, Muhammad Zubair Irshad, Ken Goldberg

CoRR, March, 2025

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion.

Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, Greg Shakhnarovich, Rares Ambrus

CoRR, January, 2025

2024

Learning 3D Robotics Perception using Inductive Priors.

Muhammad Zubair Irshad

PhD thesis, 2024

Neural Fields in Robotics: A Survey.

Muhammad Zubair Irshad, Mauro Comi, Yen-Chen Lin, Nick Heppert, Abhinav Valada, Rares Ambrus, Zsolt Kira, Jonathan Tremblay

CoRR, 2024

RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning.

Lawrence Yunliang Chen, Chenfeng Xu, Karthik Dharmarajan, Muhammad Zubair Irshad, Richard Cheng, Kurt Keutzer, Masayoshi Tomizuka, Quan Vuong, Ken Goldberg

CoRR, 2024

ICE-G: Image Conditional Editing of 3D Gaussian Splats.

Vishnu Jaganathan, Hannah Hanyun Huang, Muhammad Zubair Irshad, Varun Jampani, Amit Raj, Zsolt Kira

CoRR, 2024

Learning 3D Robotics Perception using Inductive Priors.

Muhammad Zubair Irshad

CoRR, 2024

MANIP: A Modular Architecture for Integrating Interactive Perception for Robot Manipulation.

Justin Yu, Tara Sadjadpour, Abby O'Neill, Mehdi Khfifi, Lawrence Yunliang Chen, Richard Cheng, Muhammad Zubair Irshad, Ashwin Balakrishna, Thomas Kollar, Ken Goldberg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Language-Embedded Gaussian Splats (LEGS): Incrementally Building Room-Scale Representations with a Mobile Robot.

Justin Yu, Kush Hari, Kishore Srinivas, Karim El-Refai, Adam Rashid, Chung Min Kim, Justin Kerr, Richard Cheng, Muhammad Zubair Irshad, Ashwin Balakrishna, Thomas Kollar, Ken Goldberg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation.

Takuya Ikeda, Sergey Zakharov, Tianyi Ko, Muhammad Zubair Irshad, Robert Lee, Katherine Liu, Rares Ambrus, Koichi Nishiwaki

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects.

Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

NeRF-MAE: Masked AutoEncoders for Self-supervised 3D Representation Learning for Neural Radiance Fields.

Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes.

Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects.

Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation.

Muhammad Zubair Irshad, Thomas Kollar, Michael Laskey, Kevin Stone, Zsolt Kira

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments.

Muhammad Zubair Irshad, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

Proceedings of the 26th International Conference on Pattern Recognition, 2022

ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization.

Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments.

Muhammad Zubair Irshad, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

CoRR, 2021

Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation.

Muhammad Zubair Irshad, Chih-Yao Ma, Zsolt Kira

Proceedings of the IEEE International Conference on Robotics and Automation, 2021