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Mehrtash Harandi

Semi-Supervised Metric Learning: A Deep Resurrection


May 10, 2021
Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar

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* In AAAI-2021 
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Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions


Apr 22, 2021
Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li

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On Learning the Geodesic Path for Incremental Learning


Apr 17, 2021
Christian Simon, Piotr Koniusz, Mehrtash Harandi

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* Accepted to CVPR 2021 
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Learning Log-Determinant Divergences for Positive Definite Matrices


Apr 13, 2021
Anoop Cherian, Panagiotis Stanitsas, Jue Wang, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos

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* Accepted at Trans. PAMI (extended version of ICCV 2017 paper). arXiv admin note: substantial text overlap with arXiv:1708.01741 
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Reinforced Attention for Few-Shot Learning and Beyond


Apr 09, 2021
Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson

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Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning


Mar 31, 2021
Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi

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* Accepted at CVPR 2021 
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Learning to Continually Learn Rapidly from Few and Noisy Data


Mar 06, 2021
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

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* Accepted to the Meta-Learning and Co-Hosted Competition of AAAI 2021. See https://aaai.org/Conferences/AAAI-21/ws21workshops/ and see https://sites.google.com/chalearn.org/metalearning?pli=1#h.kt23ep5wlehv 
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Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation


Feb 28, 2021
Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, Zongyuan Ge

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Uncertainty-Aware Deep Calibrated Salient Object Detection


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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 38 pages 
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