Amir R. Zamir
About Me:
My research interests are broadly in computer vision and machine learning with a focus on transfer/self/un supervised learning and perception-for-robotics. My goal is to go beyond task-specific and offline perception and develop the theoretical and experimental grounds of a compositional, efficient, and generalizable perception that operates as a piece of a larger intelligent active framework. Here are my sample research (Taskonomy, Gibson, Mid-Level Vision, Structural-RNN), teaching, and community works on this topic. I'm also interested in structured prediction, video understanding, and 3D vision.
Selected Honors and Awards:
• CVPR 2016 Best Student Paper Award, for structural-RNN. [ref]
• NVIDIA Pioneering Research Award 2018, for Gibson Environment. [ref]
• Stanford Inst. for Computational and Mathematical Engineering Seed Award. [ref]
• 2014 UCF Graduate Research Forum Award.
• National Geospatial-Intelligence Agency, 2013 NARP-SW Award.
• UCF Research Excellence Fellowship.
Latest News:
Jan. 2019: Co-organizing Computer Vision for Global Challenges in CVPR 2019.
Jun. 2018: Paper in CVPR18: Taskonomy: Disentangling Task Transfer Learning.
[Best Paper Award].
A. Zamir, S. Sax*, W. Shen*, L. Guibas, J. Malik, S. Savarese.
[ Transfer Learning API | Live Demo | Trained Models | Website | Paper].
Feb. 2018: Paper in CVPR18: Gibson Env: Real-World Perception for Embodied Agents. [Spotlight Oral],[NVIDIA Pioneering Research Award].
A. R. Zamir*, F. Xia*, J. He*, S. Sax, J. Malik, S. Savarese.
Real-world learning environments and agents for perceptual robotics.
[ Gibson Environments | Github | Paper].
Mar. 2017: With J. Malik, A. Efros, A. Gupta, and S. Savarese, we started the Beyond Supervised Learning workshop series, to inaugurate in ICCV 2017.
Mar. 2017: Paper in CVPR17: Feedback Networks, A. Zamir*, T. Wu*, L. Sun, WB. Shen, B. Shi, J. Malik, S. Savarese.
[ Project Website | PDF ].
Jun. 2016: Received CVPR Best Student Paper Award for Structural-RNN.
Jun. 2016: Co-organizing The First Workshop on Negative Results in Computer Vision in CVPR 2017, along with A. Torralba, W. Freeman, D. Forsyth, A. Efros, R. Sukthankar, A. Oliva, O. Sener, and J. Malik.
Jun. 2016: Paper in ECCV16: Generic 3D Representation via Pose Estimation
and Matching, Zamir et al.
[ 3D Representation Website | PDF | Dataset Repository ]
Jun. 2016: I will be instructing CS331B: Representation Learning in Computer Vision course at Stanford starting autumn 2016 (with Silvio Savarese).
[see Course Webpage | Stanford ExploreCourses ]
Jun. 2016: With A. Hakeem, L. Van Gool, M. Shah, and R. Szeliski, we published the book Large-Scale Visual Geo-Localization, with Springer.
[Front Matter | Cover | Springer Page]
Jun. 2016: Selected as a recipeint of Institute for Computational and Mathematical Engineering seed award for our work on Generic Representation Learning. Thank you Stanford ICME and NVIDIA GPU Center of Excellence!
Mar. 2016: Two papers accepted to CVPR16:
1) Structural-RNN: Deep Leaning on Spatio-Temporal Graphs
[Best Paper Award].
2) 3D Semantic Parsing of Large-Scale Indoor Spaces [Oral]
[see Building Parser website]
Selected Publications:
Amir R. Zamir, Sasha Sax*, William Shen*, Leonidas Guibas, Jitendra Malik, Silvio Savarese,
In CVPR, 2018 [Best Paper Award]
[Transfer Learning API | Live Demo | Website | Paper]
Amir R. Zamir*, Fei Xia*, Jerry He*, Sasha Sax, Jitendra Malik, Silvio Savarese,
In CVPR, 2018 - [Spotlight Oral],[NVIDIA Pioneering Research Award]
[Gibson Environments | Github | Website | Paper]
Iro Armeni, Ozan Sener, Amir R. Zamir, Martin Fischer, Silvio Savarese,
US Patent App. 5/619,422, 2017.
[Link]
Amir R. Zamir*, Te-Lin Wu*, Lin Sun, William B. Shen, Bertram Shi, Jitendra Malik, Silvio Savarese,
In CVPR, 2017.
[PDF | Project Page]
Amir R. Zamir, Pulkit Agrawal, Tilman Wekel, Jitendra Malik, Silvio Savarese,
In ECCV, 2016.
[PDF | 3DRepresentation website | Dataset]
In CVPR, 2016 [Best Student Paper Award]
[PDF | Project Page ]
In CVPR, 2016 - [Oral] (acceptance rate ~3%)
[PDF | 3D PC Parser website (Demo, Code, Data)]
Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski,
Springer, 2016 [Front Matter | Cover | Springer Page]
In Computer Vision and Image Understanding (CVIU), 2016 [PDF | Project Page ]
In Proceedings of International Conference on Computer Vision (ICCV), 2015 [PDF | Project Page ]
In Proceedings of International Conference on Computer Vision (ICCV), 2015 [PDF | Project Page | 1 min Summary]
In Proceedings of European Conference on Computer Vision (ECCV), 2014 [PDF | BibTeX | Project Page | 1 min Summary]
In Proceedings of European Conference on Computer Vision (ECCV), 2014 [PDF | BibTeX | Project Page | 1 min Summary]
in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2014. [PDF | 1 min Summary | 20 min Presentation | BibTeX | Project Page]
in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2014. [PDF | 1 min Summary | BibTeX | Project Page]
in Computer Vision in Sports, Springer, 2014. [PDF | BibTeX ]
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014 [Preprint PDF | BibTeX | Web Page]
In Proceeding of ACM International Conference on Multimedia (ACM MM), 2013 [PDF | Video | BibTeX | Project Page]
In Proceedings of European Conference on Computer Vision (ECCV), 2012 [PDF | Project Page | 20 min Presentation | BibTeX ]
in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2012 [PDF | BibTeX | Project Page]
In Proceedings of European Conference on Computer Vision (ECCV), 2010 [PDF | BibTeX | Project Page]
In arXiv preprint arXiv:1212.0402, November, 2012. [PDF | BibTeX | Project Page | PDF2]
In Proceedings of PED, June 2012 [PDF | BibTeX | Project Page]
In Proceedings of ICMLA, 2011