Amir Roshan Zamir is affiliated with Stanford University in the United States and has contributed extensively to the field of computer science, with a strong focus on computer vision and artificial intelligence. Their research spans a variety of specialized areas including advanced neural network applications, domain adaptation and few-shot learning, multimodal machine learning applications, advanced vision and imaging, robotics and sensor-based localization, adversarial robustness in machine learning, and anomaly detection techniques and applications.
Their publication record includes significant papers such as "UCF-101: A dataset of 101 human actions classes from videos in the wild" (2024, arXiv, Cornell University), "Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans" (2021, 2021 IEEE/CVF International Conference on Computer Vision), "CLIPasso" (2022, ACM Transactions on Graphics), "3D Common Corruptions and Data Augmentation" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition), and "Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation" (2020, arXiv, Cornell University).
Amir Roshan Zamir collaborates frequently with numerous colleagues, including Roman Bachmann, Andrei Atanov, Oğuzhan Fatih Kar, Teresa Yeo, and Alexander F. Sax. These collaborations reflect a network of joint research efforts across multiple projects and publications.
Their research contributions have been published primarily in notable venues with regular appearances in arXiv (Cornell University), which accounts for 22 publications. Other venues include the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), ACM Transactions on Graphics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and Lecture Notes in Computer Science.
Their work focuses on several intersecting subfields of study within computer science: computer vision and pattern recognition, artificial intelligence, aerospace engineering, computer graphics and computer-aided design, and computational mechanics. These subfields correspond to the range of topics addressed in their body of work.
Khurram Soomro;Amir Roshan Zamir;Mubarak Shah
Iro Armeni;Ozan Sener;Amir R. Zamir;Helen Jiang
Ashesh Jain;Amir R. Zamir;Silvio Savarese;Ashutosh Saxena
Amir R. Zamir;Alexander Sax;William Shen;Leonidas Guibas
Iro Armeni;Sasha Sax;Amir Roshan Zamir;Silvio Savarese
Fei Xia;Amir R. Zamir;Zhiyang He;Alexander Sax
Peter Anderson;Angel X. Chang;Devendra Singh Chaplot;Alexey Dosovitskiy
Haroon Idrees;Amir Roshan Zamir;Yu-Gang Jiang;Alex Gorban
Amir Roshan Zamir;Afshin Dehghan;Mubarak Shah
Amir Roshan Zamir;Mubarak Shah
Khurram Soomro;Amir R. Zamir
Amir Roshan Zamir;Mubarak Shah
Trevor Standley;Amir Zamir;Dawn Chen;Leonidas Guibas
Iro Armeni;Zhi-Yang He;Amir Zamir;Junyoung Gwak
Unknown
Ainaz Eftekhar;Alexander Sax;Jitendra Malik;Amir Zamir
Unknown
Amir Roshan Zamir;Amir Roshan Zamir;Alexander Sax;William B. Shen;Leonidas J. Guibas
Amir R. Zamir;Te-Lin Wu;Lin Sun;William B. Shen
Unknown
Amir Zamir;Amir Zamir;Alexander Sax;William Shen;Leonidas Guibas
Ozan Sener;Amir R. Zamir;Silvio Savarese;Ashutosh Saxena
Amir Roshan Zamir;Tilman Wekel;Pulkit Agrawal;Colin Wei
Francesco Castaldo;Amir Zamir;Roland Angst;Francesco Palmieri
Yajie Bao;Yang Li;Shao-Lun Huang;Lin Zhang
Amir Zamir;Alexander Sax;Teresa Yeo;Oğuzhan Kar
Iro Armeni;Zhi-Yang He;JunYoung Gwak;Amir R. Zamir
If you think any of the details on this page are incorrect, let us know.
Exploring related online degrees can open up diverse opportunities in computer science and technology. For those looking to advance quickly, quick masters degrees online make it possible to earn an advanced credential in a shorter time frame. These programs can be ideal if you’re eager to accelerate your career or pivot into new tech-focused roles.
When choosing the right program, consider what the job market demands. If you want a solid return on your educational investment, find out which master's degree is most in demand in USA. Highly sought-after computer science fields often include data science, cybersecurity, and artificial intelligence.
Not everyone is ready to commit to a master’s program. Some students start with 1 year associate degree programs online as a faster and more affordable pathway into tech. This option can provide valuable skills and help you enter the workforce quickly.
Cost is also a key consideration. If budget is a concern, look for cheap online college classes to complete prerequisites, skill upgrades, or certifications without breaking the bank. These flexible options ensure you can move forward in computer science no matter where you start.
Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 59
French Institute for Research in Computer Science and Automation - INRIA
Publications: 44
Swiss Federal Laboratories for Materials Science and Technology
Otto-von-Guericke University Magdeburg
University of Zaragoza
Tokyo Medical and Dental University
University of Pavia
SLAC National Accelerator Laboratory
Jet Propulsion Lab
National Institutes of Health
Karolinska Institute
Hanyang University
University of Colorado Boulder
University of Macau
Indian Institute of Technology Dhanbad
Microsoft Research Asia (China)
Cornell University
University of Iowa