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ORCIDAmir Zamir
Person information
- affiliation: Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- affiliation (former): Stanford University, CA, USA
- affiliation (former): University of California, Berkeley, CA, USA
- affiliation (former, PhD 2014): University of Central Florida, Department of Electrical Engineering and Computer Science, Orlando, FL, USA
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Journal Articles
- 2022
[j3]Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann, Amit Haim Bermano
, Daniel Cohen-Or, Amir Zamir, Ariel Shamir:
CLIPasso: semantically-aware object sketching. ACM Trans. Graph. 41(4): 86:1-86:11 (2022)- 2017
- [j2]Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, Mubarak Shah:
The THUMOS challenge on action recognition for videos "in the wild". Comput. Vis. Image Underst. 155: 1-23 (2017) - 2014
- [j1]Amir Roshan Zamir, Mubarak Shah:
Image Geo-Localization Based on MultipleNearest Neighbor Feature Matching UsingGeneralized Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1546-1558 (2014)
Conference and Workshop Papers
- 2023
- [c35]Marius Memmel, Roman Bachmann, Amir Zamir:
Modality-invariant Visual Odometry for Embodied Vision. CVPR 2023: 21549-21559 - [c34]Teresa Yeo, Oguzhan Fatih Kar, Zahra Sodagar, Amir Zamir:
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback. ICCV 2023: 4651-4664 - [c33]David Mizrahi, Roman Bachmann, Oguzhan Fatih Kar, Teresa Yeo, Mingfei Gao, Afshin Dehghan, Amir Zamir:
4M: Massively Multimodal Masked Modeling. NeurIPS 2023 - 2022
- [c32]Oguzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir:
3D Common Corruptions and Data Augmentation. CVPR 2022: 18941-18952 - [c31]Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir:
MultiMAE: Multi-modal Multi-task Masked Autoencoders. ECCV (37) 2022: 348-367 - [c30]Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir:
Task Discovery: Finding the Tasks that Neural Networks Generalize on. NeurIPS 2022 - [c29]Onur Beker, Mohammad Mohammadi, Amir Zamir:
PALMER: Perception - Action Loop with Memory for Long-Horizon Planning. NeurIPS 2022 - 2021
- [c28]Ainaz Eftekhar, Alexander Sax, Jitendra Malik, Amir Zamir:
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. ICCV 2021: 10766-10776 - [c27]Teresa Yeo, Oguzhan Fatih Kar, Amir Zamir:
Robustness via Cross-Domain Ensembles. ICCV 2021: 12169-12179 - 2020
- [c26]Bryan Chen, Alexander Sax, Francis Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto:
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. CoRL 2020: 2328-2346 - [c25]Amir R. Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas:
Robust Learning Through Cross-Task Consistency. CVPR 2020: 11194-11203 - [c24]Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas J. Guibas, Jitendra Malik:
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks. ECCV (3) 2020: 698-714 - [c23]Trevor Standley, Amir Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Which Tasks Should Be Learned Together in Multi-task Learning? ICML 2020: 9120-9132 - 2019
- [c22]Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik:
Learning to Navigate Using Mid-Level Visual Priors. CoRL 2019: 791-812 - [c21]Iro Armeni, Zhi-Yang He, Amir Zamir, JunYoung Gwak, Jitendra Malik, Martin Fischer, Silvio Savarese:
3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera. ICCV 2019: 5663-5672 - [c20]Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas:
An Information-Theoretic Approach to Transferability in Task Transfer Learning. ICIP 2019: 2309-2313 - [c19]Amir Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. IJCAI 2019: 6241-6245 - 2018
- [c18]Amir R. Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. CVPR 2018: 3712-3722 - [c17]Fei Xia, Amir R. Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, Silvio Savarese:
Gibson Env: Real-World Perception for Embodied Agents. CVPR 2018: 9068-9079 - 2017
- [c16]Amir R. Zamir, Te-Lin Wu, Lin Sun, William B. Shen, Bertram E. Shi, Jitendra Malik, Silvio Savarese:
Feedback Networks. CVPR 2017: 1808-1817 - 2016
- [c15]Iro Armeni, Ozan Sener, Amir R. Zamir, Helen Jiang, Ioannis K. Brilakis, Martin Fischer, Silvio Savarese:
3D Semantic Parsing of Large-Scale Indoor Spaces. CVPR 2016: 1534-1543 - [c14]Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena:
Structural-RNN: Deep Learning on Spatio-Temporal Graphs. CVPR 2016: 5308-5317 - [c13]Amir R. Zamir, Tilman Wekel, Pulkit Agrawal, Colin Wei, Jitendra Malik, Silvio Savarese:
Generic 3D Representation via Pose Estimation and Matching. ECCV (3) 2016: 535-553 - 2015
- [c12]Ozan Sener, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena:
Unsupervised Semantic Parsing of Video Collections. ICCV 2015: 4480-4488 - [c11]Tian Lan, Yuke Zhu, Amir Roshan Zamir, Silvio Savarese:
Action Recognition by Hierarchical Mid-Level Action Elements. ICCV 2015: 4552-4560 - [c10]Francesco Castaldo, Amir Zamir, Roland Angst, Francesco Palmieri, Silvio Savarese:
Semantic Cross-View Matching. ICCV Workshops 2015: 1044-1052 - 2014
- [c9]Shayan Modiri Assari, Amir Roshan Zamir, Mubarak Shah:
Video Classification Using Semantic Concept Co-occurrences. CVPR 2014: 2529-2536 - [c8]Amir Roshan Zamir, Shervin Ardeshir, Mubarak Shah:
GPS-Tag Refinement Using Random Walks with an Adaptive Damping Factor. CVPR 2014: 4280-4287 - [c7]Shervin Ardeshir, Amir Roshan Zamir, Alejandro Torroella, Mubarak Shah:
GIS-Assisted Object Detection and Geospatial Localization. ECCV (6) 2014: 602-617 - [c6]Rui Hou, Amir Roshan Zamir, Rahul Sukthankar, Mubarak Shah:
DaMN - Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition. ECCV (3) 2014: 721-736 - 2013
- [c5]Amir Roshan Zamir, Afshin Dehghan, Mubarak Shah:
Visual business recognition: a multimodal approach. ACM Multimedia 2013: 665-668 - 2012
- [c4]Gonzalo Vaca-Castano, Amir Roshan Zamir, Mubarak Shah:
City scale geo-spatial trajectory estimation of a moving camera. CVPR 2012: 1186-1193 - [c3]Amir Roshan Zamir, Afshin Dehghan, Mubarak Shah:
GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs. ECCV (2) 2012: 343-356 - 2011
- [c2]Amir Roshan Zamir, Alexander Darino, Mubarak Shah:
Street View Challenge: Identification of Commercial Entities in Street View Imagery. ICMLA (2) 2011: 380-383 - 2010
- [c1]Amir Roshan Zamir, Mubarak Shah:
Accurate Image Localization Based on Google Maps Street View. ECCV (4) 2010: 255-268
Parts in Books or Collections
- 2016
- [p1]Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski:
Introduction to Large-Scale Visual Geo-localization. Large-Scale Visual Geo-Localization 2016: 1-18
Editorship
- 2016
- [e1]Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski:
Large-Scale Visual Geo-Localization. Advances in Computer Vision and Pattern Recognition, Springer 2016, ISBN 978-3-319-25779-2 [contents]
Informal and Other Publications
- 2024
- [i34]Teresa Yeo, Andrei Atanov, Harold Benoit, Aleksandr Alekseev, Ruchira Ray, Pooya Esmaeil Akhoondi, Amir Zamir:
Controlled Training Data Generation with Diffusion Models. CoRR abs/2403.15309 (2024) - 2023
- [i33]Marius Memmel, Roman Bachmann, Amir Zamir:
Modality-invariant Visual Odometry for Embodied Vision. CoRR abs/2305.00348 (2023) - [i32]Teresa Yeo, Oguzhan Fatih Kar, Zahra Sodagar, Amir Zamir:
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback. CoRR abs/2309.15762 (2023) - [i31]David Mizrahi, Roman Bachmann, Oguzhan Fatih Kar, Teresa Yeo, Mingfei Gao, Afshin Dehghan, Amir Zamir:
4M: Massively Multimodal Masked Modeling. CoRR abs/2312.06647 (2023) - [i30]Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir:
Unraveling the Key Components of OOD Generalization via Diversification. CoRR abs/2312.16313 (2023) - 2022
- [i29]Andrei Atanov, Shijian Xu, Onur Beker, Andrei Filatov, Amir Zamir:
Simple Control Baselines for Evaluating Transfer Learning. CoRR abs/2202.03365 (2022) - [i28]Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, Ariel Shamir:
CLIPasso: Semantically-Aware Object Sketching. CoRR abs/2202.05822 (2022) - [i27]Oguzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir:
3D Common Corruptions and Data Augmentation. CoRR abs/2203.01441 (2022) - [i26]Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir:
MultiMAE: Multi-modal Multi-task Masked Autoencoders. CoRR abs/2204.01678 (2022) - [i25]Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir:
Task Discovery: Finding the Tasks that Neural Networks Generalize on. CoRR abs/2212.00261 (2022) - [i24]Onur Beker, Mohammad Mohammadi, Amir Zamir:
PALMER: Perception-Action Loop with Memory for Long-Horizon Planning. CoRR abs/2212.04581 (2022) - [i23]Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas:
An Information-Theoretic Approach to Transferability in Task Transfer Learning. CoRR abs/2212.10082 (2022) - 2021
- [i22]Teresa Yeo, Oguzhan Fatih Kar, Amir Zamir:
Robustness via Cross-Domain Ensembles. CoRR abs/2103.10919 (2021) - [i21]Ainaz Eftekhar, Alexander Sax, Roman Bachmann, Jitendra Malik, Amir Zamir:
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. CoRR abs/2110.04994 (2021) - 2020
- [i20]Amir R. Zamir, Alexander Sax, Teresa Yeo, Oguzhan Fatih Kar, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas:
Robust Learning Through Cross-Task Consistency. CoRR abs/2006.04096 (2020) - [i19]Bryan Chen, Alexander Sax, Gene Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto:
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. CoRR abs/2011.06698 (2020) - 2019
- [i18]Trevor Standley, Amir Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Which Tasks Should Be Learned Together in Multi-task Learning? CoRR abs/1905.07553 (2019) - [i17]Iro Armeni, Zhi-Yang He, JunYoung Gwak, Amir R. Zamir, Martin Fischer, Jitendra Malik, Silvio Savarese:
3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera. CoRR abs/1910.02527 (2019) - [i16]Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik:
Learning to Navigate Using Mid-Level Visual Priors. CoRR abs/1912.11121 (2019) - [i15]Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas J. Guibas, Jitendra Malik:
Side-Tuning: Network Adaptation via Additive Side Networks. CoRR abs/1912.13503 (2019) - 2018
- [i14]Amir R. Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. CoRR abs/1804.08328 (2018) - [i13]Peter Anderson, Angel X. Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, Amir R. Zamir:
On Evaluation of Embodied Navigation Agents. CoRR abs/1807.06757 (2018) - [i12]Fei Xia, Amir R. Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, Silvio Savarese:
Gibson Env: Real-World Perception for Embodied Agents. CoRR abs/1808.10654 (2018) - [i11]Alexander Sax, Bradley Emi, Amir Zamir, Leonidas J. Guibas, Silvio Savarese, Jitendra Malik:
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks. CoRR abs/1812.11971 (2018) - 2017
- [i10]Iro Armeni, Sasha Sax, Amir R. Zamir, Silvio Savarese:
Joint 2D-3D-Semantic Data for Indoor Scene Understanding. CoRR abs/1702.01105 (2017) - [i9]Amir R. Zamir, Tilman Wekel, Pulkit Agrawal, Colin Wei, Jitendra Malik, Silvio Savarese:
Generic 3D Representation via Pose Estimation and Matching. CoRR abs/1710.08247 (2017) - 2016
- [i8]Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, Mubarak Shah:
The THUMOS Challenge on Action Recognition for Videos "in the Wild". CoRR abs/1604.06182 (2016) - [i7]Ozan Sener, Amir Roshan Zamir, Chenxia Wu, Silvio Savarese, Ashutosh Saxena:
Unsupervised Semantic Action Discovery from Video Collections. CoRR abs/1605.03324 (2016) - [i6]Amir R. Zamir, Te-Lin Wu, Lin Sun, William B. Shen, Jitendra Malik, Silvio Savarese:
Feedback Networks. CoRR abs/1612.09508 (2016) - 2015
- [i5]Ozan Sener, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena:
Unsupervised Semantic Parsing of Video Collections. CoRR abs/1506.08438 (2015) - [i4]Tian Lan, Yuke Zhu, Amir Roshan Zamir, Silvio Savarese:
Action Recognition by Hierarchical Mid-level Action Elements. CoRR abs/1508.07654 (2015) - [i3]Francesco Castaldo, Amir Zamir, Roland Angst, Francesco Palmieri, Silvio Savarese:
Semantic Cross-View Matching. CoRR abs/1511.00098 (2015) - [i2]Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena:
Structural-RNN: Deep Learning on Spatio-Temporal Graphs. CoRR abs/1511.05298 (2015) - 2012
- [i1]Khurram Soomro, Amir Roshan Zamir, Mubarak Shah:
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild. CoRR abs/1212.0402 (2012)
Coauthor Index
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