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M. Zeeshan Zia
Person information
- affiliation: Microsoft, Redmond, WA, USA
- affiliation (former): Imperial College London, Robot Vision Laboratory, UK
- affiliation (former): ETH Zurich, Photogrammetry & Remote Sensing Lab, Switzerland
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2020 – today
- 2024
- [c19]Quoc-Huy Tran, Muhammad Ahmed, Murad Popattia, M. Hassan Ahmed, Andrey Konin, M. Zeeshan Zia:
Learning by Aligning 2D Skeleton Sequences and Multi-modality Fusion. ECCV (50) 2024: 141-161 - [c18]Syed Waleed Hyder, Muhammad Usama, Anas Zafar, Muhammad Naufil, Fawad Javed Fateh, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion. ICRA 2024: 1048-1055 - [c17]Quoc-Huy Tran, Ahmed Mehmood, Muhammad Ahmed, Muhammad Naufil, Anas Zafar, Andrey Konin, M. Zeeshan Zia:
Permutation-Aware Activity Segmentation via Unsupervised Frame-to-Segment Alignment. WACV 2024: 6412-6422 - 2023
- [j4]Huseyin Coskun, M. Zeeshan Zia, Bugra Tekin, Federica Bogo, Nassir Navab, Federico Tombari, Harpreet S. Sawhney:
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6659-6673 (2023) - [i14]Quoc-Huy Tran, Ahmed Mehmood, Muhammad Ahmed, Muhammad Naufil, Anas Zafar, Andrey Konin, M. Zeeshan Zia:
Permutation-Aware Action Segmentation via Unsupervised Frame-to-Segment Alignment. CoRR abs/2305.19478 (2023) - [i13]Quoc-Huy Tran, Muhammad Ahmed, Ahmed Mehmood, M. Hassan Ahmed, Murad Popattia, Andrey Konin, M. Zeeshan Zia:
Learning by Aligning 2D Skeleton Sequences in Time. CoRR abs/2305.19480 (2023) - [i12]Syed Waleed Hyder, Muhammad Usama, Anas Zafar, Muhammad Naufil, Fawad Javed Fateh, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Action Segmentation Using 2D Skeleton Heatmaps. CoRR abs/2309.06462 (2023) - 2022
- [c16]Sateesh Kumar, Sanjay Haresh, Awais Ahmed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering. CVPR 2022: 20142-20153 - [c15]Hamza Khan, Sanjay Haresh, Awais Ahmed, Shakeeb Siddiqui, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Timestamp-Supervised Action Segmentation with Graph Convolutional Networks. IROS 2022: 10619-10626 - [c14]Andrey Konin, Shakeeb Siddiqui, Hasan Gilani, Muhammad Mudassir, M. Hassan Ahmed, Taban Shaukat, Muhammad Naufil, Awais Ahmed, Quoc-Huy Tran, M. Zeeshan Zia:
AI-mediated Job Status Tracking in AR as a No-Code service. ISMAR Adjunct 2022: 1-2 - [i11]Hamza Khan, Sanjay Haresh, Awais Ahmed, Shakeeb Siddiqui, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Timestamp-Supervised Action Segmentation with Graph Convolutional Networks. CoRR abs/2206.15031 (2022) - 2021
- [c13]Sanjay Haresh, Sateesh Kumar, Huseyin Coskun, Shahram Najam Syed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Learning by Aligning Videos in Time. CVPR 2021: 5548-5558 - [i10]Sanjay Haresh, Sateesh Kumar, Huseyin Coskun, Shahram Najam Syed, Andrey Konin, Muhammad Zeeshan Zia, Quoc-Huy Tran:
Learning by Aligning Videos in Time. CoRR abs/2103.17260 (2021) - [i9]Sateesh Kumar, Sanjay Haresh, Awais Ahmed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Unsupervised Activity Segmentation by Joint Representation Learning and Online Clustering. CoRR abs/2105.13353 (2021) - 2020
- [c12]Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran:
Towards Anomaly Detection in Dashcam Videos. IV 2020: 1407-1414 - [i8]Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran:
Towards Anomaly Detection in Dashcam Videos. CoRR abs/2004.05261 (2020)
2010 – 2019
- 2019
- [j3]Chi Li
, M. Zeeshan Zia
Deep Supervision with Intermediate Concepts. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1828-1843 (2019) - [i7]Huseyin Coskun, M. Zeeshan Zia, Bugra Tekin, Federica Bogo, Nassir Navab, Federico Tombari, Harpreet S. Sawhney:
Domain-Specific Priors and Meta Learning for Low-shot First-Person Action Recognition. CoRR abs/1907.09382 (2019) - 2018
- [c11]Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia, Paul Vernaza, Manmohan Chandraker:
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences. ECCV (15) 2018: 832-850 - [i6]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Intermediate Concepts. CoRR abs/1801.03399 (2018) - [i5]Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia, Paul Vernaza, Manmohan Chandraker:
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences. CoRR abs/1803.07231 (2018) - 2017
- [c10]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing. CVPR 2017: 388-397 - 2016
- [c9]Bruno Bodin
Integrating Algorithmic Parameters into Benchmarking and Design Space Exploration in 3D Scene Understanding. PACT 2016: 57-69 - [c8]M. Zeeshan Zia, Luigi Nardi, Andrew Jack, Emanuele Vespa, Bruno Bodin
Comparative design space exploration of dense and semi-dense SLAM. ICRA 2016: 1292-1299 - [c7]Falak Chhaya, N. Dinesh Reddy, Sarthak Upadhyay, Visesh Chari, M. Zeeshan Zia, K. Madhava Krishna:
Monocular reconstruction of vehicles: Combining SLAM with shape priors. ICRA 2016: 5758-5765 - [i4]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing. CoRR abs/1612.02699 (2016) - 2015
- [j2]M. Zeeshan Zia, Michael Stark, Konrad Schindler:
Towards Scene Understanding with Detailed 3D Object Representations. Int. J. Comput. Vis. 112(2): 188-203 (2015) - [c6]Luigi Nardi, Bruno Bodin
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM. ICRA 2015: 5783-5790 - [i3]M. Zeeshan Zia, Luigi Nardi, Andrew Jack, Emanuele Vespa, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison:
Comparative Design Space Exploration of Dense and Semi-Dense SLAM. CoRR abs/1509.04648 (2015) - 2014
- [b1]Muhammad Zeeshan Zia:
High-Resolution 3D Layout from a Single View. ETH Zurich, Zürich, Switzerland, 2014 - [c5]Muhammad Zeeshan Zia, Michael Stark, Konrad Schindler:
Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects. CVPR 2014: 3678-3685 - [i2]Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Luján, Michael F. P. O'Boyle, Graham D. Riley, Nigel P. Topham, Steve B. Furber:
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM. CoRR abs/1410.2167 (2014) - [i1]M. Zeeshan Zia, Michael Stark, Konrad Schindler:
Towards Scene Understanding with Detailed 3D Object Representations. CoRR abs/1411.5935 (2014) - 2013
- [j1]M. Zeeshan Zia, Michael Stark, Bernt Schiele
Detailed 3D Representations for Object Recognition and Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2608-2623 (2013) - [c4]M. Zeeshan Zia, Michael Stark, Konrad Schindler:
Explicit Occlusion Modeling for 3D Object Class Representations. CVPR 2013: 3326-3333 - 2011
- [c3]M. Zeeshan Zia, Michael Stark, Bernt Schiele
Revisiting 3D geometric models for accurate object shape and pose. ICCV Workshops 2011: 569-576
2000 – 2009
- 2009
- [c2]Muhammad Zeeshan Zia, Ulrich Klank, Michael Beetz:
Acquisition of a dense 3D model database for robotic vision. ICAR 2009: 1-6 - [c1]Ulrich Klank, Muhammad Zeeshan Zia, Michael Beetz
3D model selection from an internet database for robotic vision. ICRA 2009: 2406-2411
Coauthor Index
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