M. Zeeshan Zia

Orcid: 0000-0001-8221-2637

Affiliations:

Microsoft, Redmond, WA, USA
Imperial College London, Robot Vision Laboratory, UK (former)
ETH Zurich, Photogrammetry & Remote Sensing Lab, Switzerland (former)

According to our database¹, M. Zeeshan Zia authored at least 27 papers between 2009 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Permutation-Aware Activity Segmentation via Unsupervised Frame-to-Segment Alignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Action Segmentation Using 2D Skeleton Heatmaps.

[BibT_eX]

[DOI]

CoRR, 2023

Learning by Aligning 2D Skeleton Sequences in Time.

[BibT_eX]

[DOI]

CoRR, 2023

Permutation-Aware Action Segmentation via Unsupervised Frame-to-Segment Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

2022

AI-mediated Job Status Tracking in AR as a No-Code service.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022

Timestamp-Supervised Action Segmentation with Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Unsupervised Activity Segmentation by Joint Representation Learning and Online Clustering.

[BibT_eX]

[DOI]

CoRR, 2021

Learning by Aligning Videos in Time.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Towards Anomaly Detection in Dashcam Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

Deep Supervision with Intermediate Concepts.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Domain-Specific Priors and Meta Learning for Low-shot First-Person Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Comparative design space exploration of dense and semi-dense SLAM.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Monocular reconstruction of vehicles: Combining SLAM with shape priors.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Integrating Algorithmic Parameters into Benchmarking and Design Space Exploration in 3D Scene Understanding.

[BibT_eX]

[DOI]

Govind Sreekar Shenoy

Michael F. P. O'Boyle

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2015

Towards Scene Understanding with Detailed 3D Object Representations.

[BibT_eX]

[DOI]

M. Zeeshan Zia

Michael Stark

Konrad Schindler

Int. J. Comput. Vis., 2015

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM.

[BibT_eX]

[DOI]

Michael F. P. O'Boyle

Graham D. Riley

Nigel P. Topham

Stephen B. Furber

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

High-Resolution 3D Layout from a Single View.

[BibT_eX]

[DOI]

Muhammad Zeeshan Zia

PhD thesis, 2014

Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects.

[BibT_eX]

[DOI]

Muhammad Zeeshan Zia

Michael Stark

Konrad Schindler

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Detailed 3D Representations for Object Recognition and Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Explicit Occlusion Modeling for 3D Object Class Representations.

[BibT_eX]

[DOI]

M. Zeeshan Zia

Michael Stark

Konrad Schindler

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011

Revisiting 3D geometric models for accurate object shape and pose.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2009

3D model selection from an internet database for robotic vision.

[BibT_eX]

[DOI]

Ulrich Klank

Muhammad Zeeshan Zia

Michael Beetz

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Acquisition of a dense 3D model database for robotic vision.

[BibT_eX]

[DOI]

Muhammad Zeeshan Zia

Ulrich Klank

Michael Beetz

Proceedings of the 14th International Conference on Advanced Robotics, 2009

M. Zeeshan Zia

Timeline

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