Amir Saffari

According to our database, Amir Saffari authored at least 38 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering.

Jinheon Baek, Alham Fikri Aji, Amir Saffari

CoRR, 2023

mReFinED: An Efficient End-to-End Multilingual Entity Linking System.

Peerat Limkonchotiwat, Weiwei Cheng, Christos Christodoulopoulos, Amir Saffari, Jens Lehmann

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing.

Andy Rosenbaum, Saleh Soltan, Wael Hamza, Marco Damonte, Isabel Groves, Amir Saffari

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering.

Priyanka Sen, Alham Fikri Aji, Amir Saffari

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Relation Extraction from Tables using Artificially Generated Metadata.

Gaurav Singh, Siffi Singh, Joshua Wong, Amir Saffari

CoRR, 2021

Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection.

Priyanka Sen, Armin Oliya, Amir Saffari

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs.

Amir Saffari, Armin Oliya, Priyanka Sen, Tom Ayoola

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

What do Models Learn from Question Answering Datasets?

Priyanka Sen, Amir Saffari

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity.

Hamza Harkous, Isabel Groves, Amir Saffari

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2018

Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs.

Daniel Neil, Joss Briody, Alix Lacoste, Aaron Sim, Páidí Creed, Amir Saffari

CoRR, 2018

DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation.

Rim Assouel, Mohamed Ahmed, Marwin H. S. Segler, Amir Saffari, Yoshua Bengio

CoRR, 2018

2016

Struck: Structured Output Tracking with Kernels.

Sam Hare, Stuart Golodetz, Amir Saffari, Vibhav Vineet, Ming-Ming Cheng, Stephen L. Hicks, Philip H. S. Torr

IEEE Trans. Pattern Anal. Mach. Intell., 2016

2014

The Visual Object Tracking VOT2014 Challenge Results.

Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Alternating Decision Forests.

Samuel Schulter, Paul Wohlhart, Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Efficient online structured output learning for keypoint-based object tracking.

Sam Hare, Amir Saffari, Philip H. S. Torr

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Learning Anchor Planes for Classification.

Ziming Zhang, Lubor Ladicky, Philip H. S. Torr, Amir Saffari

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Struck: Structured output tracking with kernels.

Sam Hare, Amir Saffari, Philip H. S. Torr

Proceedings of the IEEE International Conference on Computer Vision, 2011

Improving classifiers with unlabeled weakly-related videos.

Christian Leistner, Martin Godec, Samuel Schulter, Amir Saffari, Manuel Werlberger, Horst Bischof

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Model Selection: Beyond the Bayesian/Frequentist Divide.

Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley

J. Mach. Learn. Res., 2010

On-Line Random Naive Bayes for Tracking.

Martin Godec, Christian Leistner, Amir Saffari, Horst Bischof

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Robust Multi-View Boosting with Priors.

Amir Saffari, Christian Leistner, Martin Godec, Horst Bischof

Proceedings of the Computer Vision, 2010

MIForests: Multiple-Instance Learning with Randomized Trees.

Christian Leistner, Amir Saffari, Horst Bischof

Proceedings of the Computer Vision - ECCV 2010, 2010

On-Line Multi-view Forests for Tracking.

Christian Leistner, Martin Godec, Amir Saffari, Horst Bischof

Proceedings of the Pattern Recognition, 2010

On-line semi-supervised multiple-instance boosting.

Bernhard Zeisl, Christian Leistner, Amir Saffari, Horst Bischof

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

PROST: Parallel robust online simple tracking.

Jakob Santner, Christian Leistner, Amir Saffari, Thomas Pock, Horst Bischof

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Online multi-class LPBoost.

Amir Saffari, Martin Godec, Thomas Pock, Christian Leistner, Horst Bischof

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

On-line Random Forests.

Amir Saffari, Christian Leistner, Jakob Santner, Martin Godec, Horst Bischof

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

On robustness of on-line boosting - a competitive study.

Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Semi-Supervised Random Forests.

Christian Leistner, Amir Saffari, Jakob Santner, Horst Bischof

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Regularized multi-class semi-supervised boosting.

Amir Saffari, Christian Leistner, Horst Bischof

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Interactive Texture Segmentation using Random Forests and Total Variation.

Jakob Santner, Markus Unger, Thomas Pock, Christian Leistner, Amir Saffari, Horst Bischof

Proceedings of the British Machine Vision Conference, 2009

2008

Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge.

Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley

Neural Networks, 2008

SERBoost: Semi-supervised Boosting with Expectation Regularization.

Amir Saffari, Helmut Grabner, Horst Bischof

Proceedings of the Computer Vision, 2008

Boosting for Model-Based Data Clustering.

Amir Saffari, Horst Bischof

Proceedings of the Pattern Recognition, 2008

2007

Agnostic Learning vs. Prior Knowledge Challenge.

Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Book Review: "complex Worlds from Simpler Nervous Systems", by Frederick R. Prete (Editor).

Amir Saffari

Int. J. Comput. Intell. Appl., 2006

PerformancePrediction Challenge.

Isabelle Guyon, Amir Reza Saffari Azar Alamdari, Gideon Dror, Joachim M. Buhmann

Proceedings of the International Joint Conference on Neural Networks, 2006

Variable Selection using Correlation and Single Variable Classifier Methods: Applications.

Amir Reza Saffari Azar Alamdari

Proceedings of the Feature Extraction - Foundations and Applications, 2006