Amir Saffari

42 papers A* 9A 1B 4Journal 14Unranked 14
YearRankTypeTitle / Venue / Authors
2023 J jnl
Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering.
CoRR
Jinheon Baek, Alham Fikri Aji, Amir Saffari
2023 — conf
mReFinED: An Efficient End-to-End Multilingual Entity Linking System.
EMNLP (Findings)
Peerat Limkonchotiwat, Weiwei Cheng, Christos Christodoulopoulos, Amir Saffari, Jens Lehmann
2022 — conf
CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing.
AACL/IJCNLP (2)
Andy Rosenbaum, Saleh Soltan, Wael Hamza, Marco Damonte, Isabel Groves, Amir Saffari
2022 J jnl
CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing.
CoRR
Andy Rosenbaum, Saleh Soltan, Wael Hamza, Amir Saffari, Marco Damonte, Isabel Groves
2022 B conf
Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering.
COLING
Priyanka Sen, Alham Fikri Aji, Amir Saffari
2022 J jnl
Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering.
CoRR
Priyanka Sen, Alham Fikri Aji, Amir Saffari
2021 — conf
End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs.
EMNLP (1)
Amir Saffari, Armin Oliya, Priyanka Sen, Tom Ayoola
2021 J jnl
End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs.
CoRR
Armin Oliya, Amir Saffari, Priyanka Sen, Tom Ayoola
2021 — conf
Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection.
EMNLP (1)
Priyanka Sen, Armin Oliya, Amir Saffari
2021 J jnl
Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection.
CoRR
Priyanka Sen, Amir Saffari, Armin Oliya
2021 J jnl
Relation Extraction from Tables using Artificially Generated Metadata.
CoRR
Gaurav Singh, Siffi Singh, Joshua Wong, Amir Saffari
2020 B conf
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity.
COLING
Hamza Harkous, Isabel Groves, Amir Saffari
2020 J jnl
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity.
CoRR
Hamza Harkous, Isabel Groves, Amir Saffari
2020 — conf
What do Models Learn from Question Answering Datasets?
EMNLP (1)
Priyanka Sen, Amir Saffari
2020 J jnl
What do Models Learn from Question Answering Datasets?
CoRR
Priyanka Sen, Amir Saffari
2018 J jnl
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation.
CoRR
Rim Assouel, Mohamed Ahmed, Marwin H. S. Segler, Amir Saffari, Yoshua Bengio
2018 J jnl
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs.
CoRR
Daniel Neil, Joss Briody, Alix Lacoste, Aaron Sim, Páidí Creed, Amir Saffari
2016 J jnl
Struck: Structured Output Tracking with Kernels.
IEEE Trans. Pattern Anal. Mach. Intell.
Sam Hare, Stuart Golodetz, Amir Saffari, Vibhav Vineet, Ming-Ming Cheng, Stephen L. Hicks, Philip H. S. Torr
2014 — conf
The Visual Object Tracking VOT2014 Challenge Results.
ECCV Workshops (2)
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
2013 A* conf
Alternating Decision Forests.
CVPR
Samuel Schulter, Paul Wohlhart, Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof
2012 A* conf
Efficient online structured output learning for keypoint-based object tracking.
CVPR
Sam Hare, Amir Saffari, Philip H. S. Torr
2011 A* conf
Improving classifiers with unlabeled weakly-related videos.
CVPR
Christian Leistner, Martin Godec, Samuel Schulter, Amir Saffari, Manuel Werlberger, Horst Bischof
2011 — conf
Learning Anchor Planes for Classification.
NIPS
Ziming Zhang, Lubor Ladicky, Philip H. S. Torr, Amir Saffari
2011 A* conf
Struck: Structured output tracking with kernels.
ICCV
Sam Hare, Amir Saffari, Philip H. S. Torr
2010 — conf
MIForests: Multiple-Instance Learning with Randomized Trees.
ECCV (6)
Christian Leistner, Amir Saffari, Horst Bischof
2010 J jnl
Model Selection: Beyond the Bayesian/Frequentist Divide.
J. Mach. Learn. Res.
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley
2010 — conf
On-Line Multi-view Forests for Tracking.
DAGM-Symposium
Christian Leistner, Martin Godec, Amir Saffari, Horst Bischof
2010 B conf
On-Line Random Naive Bayes for Tracking.
ICPR
Martin Godec, Christian Leistner, Amir Saffari, Horst Bischof
2010 A* conf
On-line semi-supervised multiple-instance boosting.
CVPR
Bernhard Zeisl, Christian Leistner, Amir Saffari, Horst Bischof
2010 A* conf
Online multi-class LPBoost.
CVPR
Amir Saffari, Martin Godec, Thomas Pock, Christian Leistner, Horst Bischof
2010 A* conf
PROST: Parallel robust online simple tracking.
CVPR
Jakob Santner, Christian Leistner, Amir Saffari, Thomas Pock, Horst Bischof
2010 — conf
Robust Multi-View Boosting with Priors.
ECCV (3)
Amir Saffari, Christian Leistner, Martin Godec, Horst Bischof
2009 A conf
Interactive Texture Segmentation using Random Forests and Total Variation.
BMVC
Jakob Santner, Markus Unger, Thomas Pock, Christian Leistner, Amir Saffari, Horst Bischof
2009 — conf
On robustness of on-line boosting - a competitive study.
ICCV Workshops
Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof
2009 — conf
On-line Random Forests.
ICCV Workshops
Amir Saffari, Christian Leistner, Jakob Santner, Martin Godec, Horst Bischof
2009 A* conf
Regularized multi-class semi-supervised boosting.
CVPR
Amir Saffari, Christian Leistner, Horst Bischof
2009 A* conf
Semi-Supervised Random Forests.
ICCV
Christian Leistner, Amir Saffari, Jakob Santner, Horst Bischof
2008 J jnl
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge.
Neural Networks
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley
2008 — conf
Boosting for Model-Based Data Clustering.
DAGM-Symposium
Amir Saffari, Horst Bischof
2008 — conf
SERBoost: Semi-supervised Boosting with Expectation Regularization.
ECCV (3)
Amir Saffari, Helmut Grabner, Horst Bischof
2007 B conf
Agnostic Learning vs. Prior Knowledge Challenge.
IJCNN
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley
2006 J jnl
Book Review: "complex Worlds from Simpler Nervous Systems", by Frederick R. Prete (Editor).
Int. J. Comput. Intell. Appl.
Amir Saffari