M. Zeeshan Zia

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 24

Top Topics

Intermediate Concepts

Segmented Regions

Fine Grained Categorization

Design Space Exploration

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

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)
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)
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) (2023)
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 (2023)
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 (2023)
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 (2023)
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)
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)
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 (2022)
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)
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)
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 (2021)
Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran
Towards Anomaly Detection in Dashcam Videos. CoRR (2020)
Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran
Towards Anomaly Detection in Dashcam Videos. IV (2020)
Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker
Deep Supervision with Intermediate Concepts. IEEE Trans. Pattern Anal. Mach. Intell. 41 (8) (2019)
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 (2019)
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 (2018)
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)
Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker
Deep Supervision with Intermediate Concepts. CoRR (2018)
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)
Bruno Bodin, Luigi Nardi, M. Zeeshan Zia, Harry Wagstaff, Govind Sreekar Shenoy, Murali Krishna Emani, John Mawer, Christos Kotselidis, Andy Nisbet, Mikel Luján, Björn Franke, Paul H. J. Kelly, Michael F. P. O'Boyle
Integrating Algorithmic Parameters into Benchmarking and Design Space Exploration in 3D Scene Understanding. PACT (2016)
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. ICRA (2016)
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)
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 (2016)
M. Zeeshan Zia, Michael Stark, Konrad Schindler
Towards Scene Understanding with Detailed 3D Object Representations. Int. J. Comput. Vis. 112 (2) (2015)
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 (2015)
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, Stephen B. Furber
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM. ICRA (2015)
M. Zeeshan Zia, Michael Stark, Konrad Schindler
Towards Scene Understanding with Detailed 3D Object Representations. CoRR (2014)
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 (2014)
M. Zeeshan Zia, Michael Stark, Bernt Schiele, Konrad Schindler
Detailed 3D Representations for Object Recognition and Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 35 (11) (2013)
M. Zeeshan Zia, Michael Stark, Konrad Schindler
Explicit Occlusion Modeling for 3D Object Class Representations. CVPR (2013)
M. Zeeshan Zia, Michael Stark, Bernt Schiele, Konrad Schindler
Revisiting 3D geometric models for accurate object shape and pose. ICCV Workshops (2011)