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Mehrtash Harandi
Uncertainty-Aware Deep Calibrated Salient Object Detection

Dec 10, 2020
Jing Zhang, Yuchao Dai, Xin Yu, Mehrtash Harandi, Nick Barnes, Richard Hartley

* Completed in 2019 
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Set Augmented Triplet Loss for Video Person Re-Identification

Nov 07, 2020
Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi

* to appear in WACV 2021 
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Hierarchical Neural Architecture Search for Deep Stereo Matching

Oct 26, 2020
Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Tom Drummond, Hongdong Li, Zongyuan Ge

* Accepted at NeurIPS 2020; Xuelian Cheng and Yiran Zhong made equal contribution 
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Channel Recurrent Attention Networks for Video Pedestrian Retrieval

Oct 07, 2020
Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi

* To appear in ACCV 2020 
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Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss

Aug 22, 2020
Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar

* In the IEEE Transactions on Artificial Intelligence (IEEE TAI) 
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MTL2L: A Context Aware Neural Optimiser

Jul 18, 2020
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

* Published in the ICML workshop of Automated Machine Learning (AutoML) 2020. Also see https://www.automl.org/wp-content/uploads/2020/07/AutoML_2020_paper_5.pdf 
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Cross-Correlated Attention Networks for Person Re-Identification

Jun 17, 2020
Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson

* Image and Vision Computing, Vol. 100, 2020, p. 103931 
 * Accepted by Image and Vision Computing 
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Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation

Mar 24, 2020
Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, Paul Bonnington, Tom Drummond, Zongyuan Ge


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Affinity guided Geometric Semi-Supervised Metric Learning

Feb 27, 2020
Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar

* Paper in Review 
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A Probabilistic approach for Learning Embeddings without Supervision

Dec 17, 2019
Ujjal Kr Dutta, Mehrtash Harandi, Chandra Sekhar Chellu


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Neural Collaborative Subspace Clustering

Apr 24, 2019
Tong Zhang, Pan Ji, Mehrtash Harandi, Wenbing Huang, Hongdong Li

* Accepted to ICML 2019 
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Scalable Deep $k$-Subspace Clustering

Nov 02, 2018
Tong Zhang, Pan Ji, Mehrtash Harandi, Richard Hartley, Ian Reid

* To appear in ACCV 2018 
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Block Mean Approximation for Efficient Second Order Optimization

Aug 29, 2018
Yao Lu, Mehrtash Harandi, Richard Hartley, Razvan Pascanu


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Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective

Mar 29, 2018
Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard Hartley

* Accepted by IEEE/CVF CVPR 2018 as Spotlight 
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Devon: Deformable Volume Network for Learning Optical Flow

Feb 20, 2018
Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr


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Museum Exhibit Identification Challenge for Domain Adaptation and Beyond

Feb 04, 2018
Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Harandi, Fatih Porikli, Rui Zhang


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Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version)

Aug 05, 2017
Anoop Cherian, Panagiotis Stanitsas, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos

* Accepted at the International Conference on Computer Vision (ICCV) 
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Generalized Rank Pooling for Activity Recognition

Jul 22, 2017
Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould

* Accepted at IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017 
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Learning an Invariant Hilbert Space for Domain Adaptation

Apr 17, 2017
Samitha Herath, Mehrtash Harandi, Fatih Porikli

* 24 pages, 7 figures 
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Analyzing Linear Dynamical Systems: From Modeling to Coding and Learning

Feb 27, 2017
Wenbing Huang, Fuchun Sun, Lele Cao, Mehrtash Harandi

* 38 pages 
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Going Deeper into Action Recognition: A Survey

Feb 01, 2017
Samitha Herath, Mehrtash Harandi, Fatih Porikli


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Generalized BackPropagation, Étude De Cas: Orthogonality

Nov 17, 2016
Mehrtash Harandi, Basura Fernando


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Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

May 20, 2016
Mehrtash Harandi, Mathieu Salzmann, Richard Hartley

* arXiv admin note: text overlap with arXiv:1407.1120 
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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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When VLAD met Hilbert

Jul 30, 2015
Mehrtash Harandi, Mathieu Salzmann, Fatih Porikli


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Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds

May 20, 2015
Mehrtash Harandi, Richard Hartley, Chunhua Shen, Brian Lovell, Conrad Sanderson

* Appearing in International Journal of Computer Vision 
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Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

Mar 17, 2015
Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi


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Optimizing Over Radial Kernels on Compact Manifolds

Dec 13, 2014
Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

* Published in CVPR 2014 
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A Framework for Shape Analysis via Hilbert Space Embedding

Dec 13, 2014
Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

* Published in ICCV 2013 
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