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Semi-supervised Keypoint Localization

Jan 20, 2021
Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh

* accepted to ICLR 2021 

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Domain Adaptative Causality Encoder

Nov 27, 2020
Farhad Moghimifar, Gholamreza Haffari, Mahsa Baktashmotlagh

* ALTA2020 

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Learning Causal Bayesian Networks from Text

Nov 26, 2020
Farhad Moghimifar, Afshin Rahimi, Mahsa Baktashmotlagh, Xue Li

* ALTA2020 

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Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph

Nov 25, 2020
Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Mahsa Baktashmotlagh


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COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering

Nov 02, 2020
Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari

* COLING2020 

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Keypoint-Aligned Embeddings for Image Retrieval and Re-identification

Aug 26, 2020
Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh

* 8 pages, 7 figures, accepted to WACV 2021 

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Adversarial Bipartite Graph Learning for Video Domain Adaptation

Jul 31, 2020
Yadan Luo, Zi Huang, Zijian Wang, Zheng Zhang, Mahsa Baktashmotlagh

* Proceedings of the 28th ACM International Conference on Multimedia (MM '20) 

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Progressive Graph Learning for Open-Set Domain Adaptation

Jun 30, 2020
Yadan Luo, Zijian Wang, Zi Huang, Mahsa Baktashmotlagh

* International Conference on Machine Learning (ICML 2020) 

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A Simple and Scalable Shape Representation for 3D Reconstruction

May 10, 2020
Mateusz Michalkiewicz, Eugene Belilovsky, Mahsa Baktashmotlagh, Anders Eriksson

* 9 pages plus 3 pages of references. 4 figures 

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Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors

May 03, 2020
Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders Eriksson, Eugene Belilovsky


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Implicitly Defined Layers in Neural Networks

Mar 03, 2020
Qianggong Zhang, Yanyang Gu, Michalkiewicz Mateusz, Mahsa Baktashmotlagh, Anders Eriksson


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Learning landmark guided embeddings for animal re-identification

Jan 09, 2020
Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh

* 7 pages, 7 figures 

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Correlation-aware Adversarial Domain Adaptation and Generalization

Nov 29, 2019
Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan

* Preprint submitted to Pattern Recognition, Accepted in Pattern Recognition 

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Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling

Nov 12, 2019
Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang


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Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings

Feb 28, 2019
Olga Moskvyak, Frederic Maire, Asia O. Armstrong, Feras Dayoub, Mahsa Baktashmotlagh

* 12 pages, 15 figures 

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Deep Level Sets: Implicit Surface Representations for 3D Shape Inference

Jan 21, 2019
Mateusz Michalkiewicz, Jhony K. Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders Eriksson


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On Minimum Discrepancy Estimation for Deep Domain Adaptation

Jan 02, 2019
Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan

* Accepted in Joint IJCAI/ECAI/AAMAS/ICML 2018 Workshop 

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Multi-component Image Translation for Deep Domain Generalization

Dec 21, 2018
Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan

* Accepted in WACV 2019 

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Learning Factorized Representations for Open-set Domain Adaptation

May 31, 2018
Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann


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On Encoding Temporal Evolution for Real-time Action Prediction

Feb 08, 2018
Fahimeh Rezazadegan, Sareh Shirazi, Mahsa Baktashmotlagh, Larry S. Davis

* Submitted Version 

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From Review to Rating: Exploring Dependency Measures for Text Classification

Sep 04, 2017
Samuel Cunningham-Nelson, Mahsa Baktashmotlagh, Wageeh Boles

* Under Consideration by Pattern Recognition Letters (PRL) 2018 
* 8 pages 

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Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs

Jul 31, 2015
Mehrtash Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh


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