Zeeshan Zia

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Quoc-Huy TranRetrocausal, Inc.Dirección de correo verificada de retrocausal.ai
Michael StarkVicariousDirección de correo verificada de vicarious.com
Konrad SchindlerProfessor of Photogrammetry and Remote Sensing, ETH ZurichDirección de correo verificada de ethz.ch
Chi LiApple Inc, Johns Hopkins UniversityDirección de correo verificada de apple.com
Paul KellyProfessor of Software Technology, Imperial College LondonDirección de correo verificada de imperial.ac.uk
Bruno BodinAssistant Professor, Yale-NUS CollegeDirección de correo verificada de yale-nus.edu.sg
Luigi NardiAssistant Professor in ML at Lund University; Research Scientist at StanfordDirección de correo verificada de cs.lth.se
Andrey KoninChief Architect, Retrocausal, Inc.Dirección de correo verificada de retrocausal.ai
Xiang YuAmazon, Prime VideoDirección de correo verificada de amazon.com
Sanjay HareshGraduate Student, Simon Fraser UniversityDirección de correo verificada de sfu.ca
Manmohan ChandrakerUniversity of California, San DiegoDirección de correo verificada de eng.ucsd.edu
Andy NisbetResearch Fellow in Low Power Virtualisation for Many Core, APT Group, School of Computer ScienceDirección de correo verificada de manchester.ac.uk
John MawerUniversity of ManchesterDirección de correo verificada de manchester.ac.uk
Michael O'BoyleProfessor of Computer Science, University of EdinburghDirección de correo verificada de inf.ed.ac.uk
Andrew DavisonProfessor of Robot Vision, Department of Computing, Imperial College LondonDirección de correo verificada de doc.ic.ac.uk
Sateesh KumarMS CSE Student at UC San DiegoDirección de correo verificada de ucsd.edu
Gregory HagerMandell Bellmore Professor of Computer Science, Johns Hopkins UniversityDirección de correo verificada de cs.jhu.edu
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityDirección de correo verificada de mpi-inf.mpg.de
Mikel LujanDepartment of Computer Science, University of ManchesterDirección de correo verificada de manchester.ac.uk
Paul VernazaAurora InnovationDirección de correo verificada de aurora.tech

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Zeeshan Zia

Retrocausal, Inc.

Dirección de correo verificada de retrocausal.ai - Página principal

Computer Vision Machine Learning Robotics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Detailed 3d representations for object modeling and recognition MZ Zia, M Stark, B Schiele, K Schindler IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (11), 2608 …, 2013	211*	2013
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM L Nardi, B Bodin, MZ Zia, J Mawer, A Nisbet, PHJ Kelly, AJ Davison, ... IEEE International Conference on Robotics and Automation, 2015	179	2015
Towards Scene Understanding with Detailed 3D Object Representations MZ Zia, M Stark, K Schindler International Journal of Computer Vision (IJCV) 112 (2), 188-203, 2015	109	2015
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing C Li, MZ Zia, QH Tran, X Yu, GD Hager, M Chandraker 30th IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2017., 2017	92	2017
Are Cars Just 3D Boxes? - Jointly Estimating the 3D Shape of Multiple Objects Zia, M Zeeshan, M Stark, K Schindler 27th IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2014., 2014	87*	2014
Explicit Occlusion Modeling for 3D Object Class Representations MZ Zia, M Stark, K Schindler 26th IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2013., 2013	73*	2013
Deep Supervision with Intermediate Concepts C Li, MZ Zia, QH Tran, X Yu, GD Hager, M Chandraker IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018	59	2018
Integrating Algorithmic Parameters into Benchmarking and Design Space Exploration in 3D Scene Understanding B Bodin, L Nardi, MZ Zia, H Wagstaff, GS Shenoy, M Emani, J Mawer, ... 25th International Conference on Parallel Architectures and Compilation …, 2016	59	2016
Revisiting 3d geometric models for accurate object shape and pose MZ Zia, M Stark, B Schiele, K Schindler 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011	58	2011
3d model selection from an internet database for robotic vision U Klank, MZ Zia, M Beetz 2009 IEEE International Conference on Robotics and Automation, 2406-2411, 2009	55	2009
Monocular Reconstruction of Vehicles: Combining SLAM with Shape Priors F Chayya, D Reddy, S Upadhyay, V Chari, MZ Zia, KM Krishna IEEE International Conference on Robotics and Automation, 2016	47	2016
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences ME Fathy, QH Tran, MZ Zia, P Vernaza, M Chandraker 15th European Conference on Computer Vision (ECCV), 2018	40	2018
Comparative Design Space Exploration of Dense and Semi-Dense SLAM MZ Zia, L Nardi, A Jack, E Vespa, B Bodin, PHJ Kelly, AJ Davison IEEE International Conference on Robotics and Automation, 2016	39	2016
Learning by Aligning Videos in Time S Haresh, S Kumar, H Coskun, SN Syed, A Konin, Z Zia, QH Tran 34th IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2021., 2021	33	2021
Domain-Specific Priors and Meta Learning for Low-shot First-Person Action Recognition H Coskun, Z Zia, B Tekin, F Bogo, N Navab, F Tombari, H Sawhney IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021	17	2021
Unsupervised action segmentation by joint representation learning and online clustering S Kumar, S Haresh, A Ahmed, A Konin, MZ Zia, QH Tran Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	16	2022
Towards anomaly detection in dashcam videos S Haresh, S Kumar, MZ Zia, QH Tran 2020 IEEE Intelligent Vehicles Symposium (IV), 1407-1414, 2020	13	2020
Acquisition of a dense 3D model database for robotic vision MZ Zia, U Klank, M Beetz 2009 International Conference on Advanced Robotics, 1-6, 2009	12	2009
Action recognition system with landmark localization on objects in images using convolutional neural networks MZ Zia, QH Tran, X Yu, M Chandraker, C Li US Patent 10,331,974, 2019	10	2019
Advanced driver-assistance system with landmark localization on objects in images using convolutional neural networks MZ Zia, QH Tran, X Yu, M Chandraker, C Li US Patent 10,289,935, 2019	7	2019

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