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ORCIDMehrtash Harandi
Mehrtash Tafazzoli Harandi
Person information
- affiliation: Monash University, Clayton, VIC, Australia
- affiliation (2013 - 2018): Australian National University, Canberra, ACT, Australia
- affiliation (PhD 2009): University of Tehran, Iran
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Journal Articles
- 2024
[j43]Mevan Ekanayake
, Kamlesh Pawar, Mehrtash Harandi, Gary F. Egan, Zhaolin Chen:
McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction. Comput. Biol. Medicine 168: 107775 (2024)- [j42]Milad Ramezankhani, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani:
Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming. Int. J. Comput. Integr. Manuf. 37(1-2): 18-36 (2024) - [j41]Joshua May, Liang Hu, Elizabeth A. Ritchie, Mehrtash Harandi, J. Scott Tyo:
Automated Segmentation of Tropical Cyclone Clouds in Geostationary Infrared Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j40]Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
GOSS: towards generalized open-set semantic segmentation. Vis. Comput. 40(4): 2391-2404 (2024) - [j39]Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Publisher Correction: GOSS: towards generalized open-set semantic segmentation. Vis. Comput. 40(5): 3843-3845 (2024) - 2023
- [j38]Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi, Tom Drummond, Zongyuan Ge:
Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-Label Proxy Metric Learning. IEEE Access 11: 50165-50179 (2023) - [j37]Pengfei Fang, Mehrtash Harandi, Zhenzhong Lan, Lars Petersson:
Poincaré Kernels for Hyperbolic Representations. Int. J. Comput. Vis. 131(11): 2770-2792 (2023) - [j36]Mohamed Daoudi, Mehrtash Harandi, Vittorio Murino:
Guest Editorial : Learning with Manifolds in Computer Vision. Image Vis. Comput. 129: 104599 (2023) - [j35]Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi:
CL3: Generalization of Contrastive Loss for Lifelong Learning. J. Imaging 9(12): 259 (2023) - [j34]Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation. Nat. Mac. Intell. 5(7): 724-738 (2023) - [j33]Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi:
Subspace distillation for continual learning. Neural Networks 167: 65-79 (2023) - [j32]Zhi Gao, Yuwei Wu, Mehrtash Harandi, Yunde Jia:
Curvature-Adaptive Meta-Learning for Fast Adaptation to Manifold Data. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1545-1562 (2023) - [j31]Zhi Gao, Yuwei Wu, Xiaomeng Fan, Mehrtash Harandi, Yunde Jia:
Learning to Optimize on Riemannian Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5935-5952 (2023) - [j30]Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi:
RMAML: Riemannian meta-learning with orthogonality constraints. Pattern Recognit. 140: 109563 (2023) - [j29]Sentao Chen, Zijie Hong, Mehrtash Harandi, Xiaowei Yang:
Domain Neural Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8630-8641 (2023) - 2022
- [j28]Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Pan Ji, Lars Petersson, Mehrtash Harandi:
Attention in Attention Networks for Person Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4626-4641 (2022) - [j27]Anoop Cherian, Panagiotis Stanitsas, Jue Wang, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos:
Learning Log-Determinant Divergences for Positive Definite Matrices. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5088-5102 (2022) - 2021
- [j26]Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Discrepant collaborative training by Sinkhorn divergences. Image Vis. Comput. 112: 104213 (2021) - [j25]Jing Zhang, Yuchao Dai, Tong Zhang, Mehrtash Harandi, Nick Barnes, Richard Hartley:
Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2866-2873 (2021) - [j24]Sentao Chen, Mehrtash Harandi, Xiaona Jin, Xiaowei Yang:
Semi-Supervised Domain Adaptation via Asymmetric Joint Distribution Matching. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5708-5722 (2021) - 2020
- [j23]Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Cross-Correlated Attention Networks for Person Re-Identification. Image Vis. Comput. 100: 103931 (2020) - [j22]Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Unsupervised Deep Metric Learning via Orthogonality Based Probabilistic Loss. IEEE Trans. Artif. Intell. 1(1): 74-84 (2020) - [j21]Sentao Chen, Mehrtash Harandi, Xiaona Jin, Xiaowei Yang:
Domain Adaptation by Joint Distribution Invariant Projections. IEEE Trans. Image Process. 29: 8264-8277 (2020) - [j20]Zhi Gao, Yuwei Wu, Mehrtash Harandi, Yunde Jia:
A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3230-3244 (2020) - 2019
- [j19]Samitha Herath, Basura Fernando, Mehrtash Harandi:
Using temporal information for recognizing actions from still images. Pattern Recognit. 96 (2019) - [j18]Wen-bing Huang, Lijie Fan, Mehrtash Harandi, Lin Ma, Huaping Liu, Wei Liu, Chuang Gan:
Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks. IEEE Trans. Image Process. 28(4): 1773-1782 (2019) - 2018
- [j17]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 48-62 (2018) - [j16]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Large-Scale Metric Learning: A Voyage From Shallow to Deep. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4339-4346 (2018) - [j15]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli:
A Comprehensive Look at Coding Techniques on Riemannian Manifolds. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5701-5712 (2018) - 2017
- [j14]Samitha Herath, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Going deeper into action recognition: A survey. Image Vis. Comput. 60: 4-21 (2017) - [j13]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli:
No fuss metric learning, a Hilbert space scenario. Pattern Recognit. Lett. 98: 83-89 (2017) - 2016
- [j12]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Mathieu Salzmann:
Distribution-Matching Embedding for Visual Domain Adaptation. J. Mach. Learn. Res. 17: 108:1-108:30 (2016) - [j11]Mehrtash Harandi, Brian C. Lovell, Gennaro Percannella, Alessia Saggese, Mario Vento, Arnold Wiliem:
Executable thematic special issue on pattern recognition techniques for indirect immunofluorescence images analysis. Pattern Recognit. Lett. 82: 1-2 (2016) - [j10]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Brian C. Lovell, Conrad Sanderson:
Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1294-1306 (2016) - 2015
- [j9]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Chunhua Shen, Brian C. Lovell, Conrad Sanderson:
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. Int. J. Comput. Vis. 114(2-3): 113-136 (2015) - [j8]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2464-2477 (2015) - [j7]Ali Emami, Mehrtash Tafazzoli Harandi, Farhad Dadgostar, Brian C. Lovell:
Novelty detection in human tracking based on spatiotemporal oriented energies. Pattern Recognit. 48(3): 812-826 (2015) - 2014
- [j6]Yongkang Wong, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
On robust face recognition via sparse coding: the good, the bad and the ugly. IET Biom. 3(4): 176-189 (2014) - [j5]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann:
Discriminative Non-Linear Stationary Subspace Analysis for Video Classification. IEEE Trans. Pattern Anal. Mach. Intell. 36(12): 2353-2366 (2014) - [j4]Masoud Faraki, Mehrtash Tafazzoli Harandi, Arnold Wiliem, Brian C. Lovell:
Fisher tensors for classifying human epithelial cells. Pattern Recognit. 47(7): 2348-2359 (2014) - 2013
- [j3]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Sareh Abolahrari Shirazi, Brian C. Lovell:
Kernel analysis on Grassmann manifolds for action recognition. Pattern Recognit. Lett. 34(15): 1906-1915 (2013) - 2011
- [j2]Shaokang Chen, Sandra Mau, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Abbas Bigdeli, Brian C. Lovell:
Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework. EURASIP J. Image Video Process. 2011 (2011) - 2009
- [j1]Mehrtash Tafazzoli Harandi, Majid Nili Ahmadabadi, Babak Nadjar Araabi:
Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition. Int. J. Comput. Vis. 81(2): 191-204 (2009)
Conference and Workshop Papers
- 2024
- [c112]Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi:
LaViP: Language-Grounded Visual Prompting. AAAI 2024: 2840-2848 - [c111]Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi:
Concealing Sensitive Samples against Gradient Leakage in Federated Learning. AAAI 2024: 21717-21725 - [c110]Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi:
Continual Test-time Domain Adaptation via Dynamic Sample Selection. WACV 2024: 1690-1699 - 2023
- [c109]Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu:
Exploring Data Geometry for Continual Learning. CVPR 2023: 24325-24334 - [c108]Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi:
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. DICTA 2023: 356-363 - [c107]Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Hyperbolic Audio-visual Zero-shot Learning. ICCV 2023: 7839-7849 - [c106]Samitha Herath, Basura Fernando, Ehsan Abbasnejad, Munawar Hayat, Shahram Khadivi, Mehrtash Harandi, Hamid Rezatofighi, Gholamreza Haffari:
Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation. ICCV 2023: 11619-11628 - [c105]Jieming Zhou, Tong Zhang, Zeeshan Hayder, Lars Petersson, Mehrtash Harandi:
Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation. ICCV (Workshops) 2023: 2084-2094 - [c104]Leila Mahmoodi, Mehrtash Harandi, Peyman Moghadam:
Flashback for Continual Learning. ICCV (Workshops) 2023: 3426-3435 - [c103]Chengyao Qian, Munawar Hayat, Mehrtash Harandi:
Can we Distill Knowledge from Powerful Teachers Directly? ICIP 2023: 595-599 - [c102]Long Tung Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Q. Phung:
Vector Quantized Wasserstein Auto-Encoder. ICML 2023: 35223-35242 - [c101]Ruyi Zha, Xuelian Cheng, Hongdong Li, Mehrtash Harandi, Zongyuan Ge:
EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos. MICCAI (9) 2023: 13-23 - [c100]Kaushik Roy, Peyman Moghadam, Mehrtash Harandi:
L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space. MICCAI (2) 2023: 123-133 - [c99]Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari:
LAVA:Label-efficient Visual Learning and Adaptation. WACV 2023: 147-156 - 2022
- [c98]Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi:
Adaptive Poincaré Point to Set Distance for Few-Shot Classification. AAAI 2022: 1926-1934 - [c97]Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, Mehrtash Harandi:
Efficient Riemannian Meta-Optimization by Implicit Differentiation. AAAI 2022: 3733-3740 - [c96]Nicholas Rosa, Tom Drummond, Mehrtash Harandi:
A Differentiable Distance Approximation for Fairer Image Classification. ACCV (6) 2022: 218-234 - [c95]Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2022: 173-182 - [c94]Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker:
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CVPR 2022: 9255-9264 - [c93]Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge:
Implicit Motion Handling for Video Camouflaged Object Detection. CVPR 2022: 13854-13863 - [c92]Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond, Mehrtash Harandi:
Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning. ECCV (20) 2022: 257-274 - [c91]Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani:
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. ICPS 2022: 1-7 - [c90]Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation. MICCAI (5) 2022: 162-172 - [c89]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge:
Deep Laparoscopic Stereo Matching with Transformers. MICCAI (8) 2022: 464-474 - [c88]Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi:
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds. NeurIPS 2022 - [c87]Markus Hiller, Mehrtash Harandi, Tom Drummond:
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation. NeurIPS 2022 - [c86]Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond:
Rethinking Generalization in Few-Shot Classification. NeurIPS 2022 - [c85]Christian Simon, Piotr Koniusz, Mehrtash Harandi:
Meta-Learning for Multi-Label Few-Shot Classification. WACV 2022: 346-355 - [c84]Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi:
Towards a Robust Differentiable Architecture Search under Label Noise. WACV 2022: 3584-3594 - 2021
- [c83]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
Learning to Continually Learn Rapidly from Few and Noisy Data. MetaDL@AAAI 2021: 65-76 - [c82]Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Semi-Supervised Metric Learning: A Deep Resurrection. AAAI 2021: 7279-7287 - [c81]Xiaomeng Fan, Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi:
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces. AAAI 2021: 7377-7384 - [c80]Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. BrainLes@MICCAI (1) 2021: 171-181 - [c79]Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson:
Reinforced Attention for Few-Shot Learning and Beyond. CVPR 2021: 913-923 - [c78]Christian Simon, Piotr Koniusz, Mehrtash Harandi:
On Learning the Geodesic Path for Incremental Learning. CVPR 2021: 1591-1600 - [c77]Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CVPR 2021: 2534-2543 - [c76]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
Plastic and Stable Gated Classifiers for Continual Learning. CVPR Workshops 2021: 3553-3558 - [c75]Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Pengfei Fang, Christian Simon, Lars Petersson, Mehrtash Harandi:
Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces. ICCV 2021: 8641-8650 - [c74]Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi:
Curvature Generation in Curved Spaces for Few-Shot Learning. ICCV 2021: 8671-8680 - [c73]Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Kernel Methods in Hyperbolic Spaces. ICCV 2021: 10645-10654 - [c72]Tianyu Zhu, Mehrtash Harandi, Rongkai Ma, Tom Drummond:
Learning Online for Unified Segmentation and Tracking Models. IJCNN 2021: 1-8 - [c71]Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation. MICCAI (2) 2021: 428-438 - [c70]Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi:
Set Augmented Triplet Loss for Video Person Re-Identification. WACV 2021: 464-473 - 2020
- [c69]Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar:
Unsupervised Metric Learning with Synthetic Examples. AAAI 2020: 3834-3841 - [c68]Zhi Gao, Yuwei Wu, Xiaoxun Zhang, Jindou Dai, Yunde Jia, Mehrtash Harandi:
Revisiting Bilinear Pooling: A Coding Perspective. AAAI 2020: 3954-3961 - [c67]Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi:
Channel Recurrent Attention Networks for Video Pedestrian Retrieval. ACCV (6) 2020: 427-443 - [c66]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
M2SGD: Learning to Learn Important Weights. CVPR Workshops 2020: 957-964 - [c65]Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi:
Adaptive Subspaces for Few-Shot Learning. CVPR 2020: 4135-4144 - [c64]Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi:
Learning to Optimize on SPD Manifolds. CVPR 2020: 7697-7706 - [c63]Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi:
On Modulating the Gradient for Meta-learning. ECCV (8) 2020: 556-572 - [c62]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. IJCNN 2020: 1-8 - [c61]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. NeurIPS 2020 - [c60]Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. WACV 2020: 2694-2702 - [c59]Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Learning from Noisy Labels via Discrepant Collaborative Training. WACV 2020: 3158-3167 - 2019
- [c58]Samitha Herath, Mehrtash Harandi, Basura Fernando, Richard Nock:
Min-Max Statistical Alignment for Transfer Learning. CVPR 2019: 9288-9297 - [c57]Soumava Kumar Roy, Mehrtash Harandi, Richard Nock, Richard I. Hartley:
Siamese Networks: The Tale of Two Manifolds. ICCV 2019: 3046-3055 - [c56]Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Bilinear Attention Networks for Person Retrieval. ICCV 2019: 8029-8038 - [c55]Tong Zhang, Pan Ji, Mehrtash Harandi, Wen-bing Huang, Hongdong Li:
Neural Collaborative Subspace Clustering. ICML 2019: 7384-7393 - 2018
- [c54]Tong Zhang, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Ian D. Reid:
Scalable Deep k-Subspace Clustering. ACCV (5) 2018: 466-481 - [c53]Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi:
Geometry Aware Constrained Optimization Techniques for Deep Learning. CVPR 2018: 4460-4469 - [c52]Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley:
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective. CVPR 2018: 9029-9038 - [c51]Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. ECCV Workshops (6) 2018: 673-677 - [c50]Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Tafazzoli Harandi, Fatih Porikli, Rui Zhang:
Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond. ECCV (16) 2018: 815-833 - 2017
- [c49]Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould:
Generalized Rank Pooling for Activity Recognition. CVPR 2017: 1581-1590 - [c48]Samitha Herath, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Learning an Invariant Hilbert Space for Domain Adaptation. CVPR 2017: 3956-3965 - [c47]Soumava Kumar Roy, Mehrtash Harandi:
Constrained Stochastic Gradient Descent: The Good Practice. DICTA 2017: 1-8 - [c46]Anoop Cherian, Panagiotis Stanitsas, Mehrtash Harandi, Vassilios Morellas, Nikos Papanikolopoulos:
Learning Discriminative αβ-Divergences for Positive Definite Matrices. ICCV 2017: 4280-4289 - [c45]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
Joint Dimensionality Reduction and Metric Learning: A Geometric Take. ICML 2017: 1404-1413 - [c44]Wen-bing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun, Junzhou Huang:
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding. NIPS 2017: 3444-3454 - 2016
- [c43]Wen-bing Huang, Fuchun Sun, Le-le Cao, Deli Zhao, Huaping Liu, Mehrtash Harandi:
Sparse Coding and Dictionary Learning with Linear Dynamical Systems. CVPR 2016: 3938-3947 - [c42]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli:
When VLAD Met Hilbert. CVPR 2016: 5185-5194 - [c41]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Image set classification by symmetric positive semi-definite matrices. WACV 2016: 1-8 - 2015
- [c40]Shengping Zhang, Shiva Prasad Kasiviswanathan, Pong C. Yuen, Mehrtash Harandi:
Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications. AAAI 2015: 3165-3173 - [c39]Mehrtash Tafazzoli Harandi, Mathieu Salzmann:
Riemannian coding and dictionary learning: Kernels to the rescue. CVPR 2015: 3926-3935 - [c38]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli:
More about VLAD: A leap from Euclidean to Riemannian manifolds. CVPR 2015: 4951-4960 - [c37]Sareh Abolahrari Shirazi, Conrad Sanderson, Chris McCool, Mehrtash Tafazzoli Harandi:
Bags of Affine Subspaces for Robust Object Tracking. DICTA 2015: 1-7 - [c36]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli:
Approximate infinite-dimensional Region Covariance Descriptors for image classification. ICASSP 2015: 1364-1368 - [c35]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh:
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs. ICCV 2015: 4112-4120 - [c34]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli:
Material Classification on Symmetric Positive Definite Manifolds. WACV 2015: 749-756 - 2014
- [c33]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Murat Porikli:
Bregman Divergences for Infinite Dimensional Covariance Matrices. CVPR 2014: 1003-1010 - [c32]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann:
Domain Adaptation on the Statistical Manifold. CVPR 2014: 2481-2488 - [c31]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Optimizing over Radial Kernels on Compact Manifolds. CVPR 2014: 3802-3809 - [c30]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices. ECCV (2) 2014: 17-32 - [c29]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard I. Hartley, Hongdong Li:
Expanding the Family of Grassmannian Kernels: An Embedding Perspective. ECCV (7) 2014: 408-423 - [c28]Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Conrad Sanderson:
Object tracking via non-Euclidean geometry: A Grassmann approach. WACV 2014: 901-908 - 2013
- [c27]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices. CVPR 2013: 73-80 - [c26]Shaokang Chen, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces. CVPR 2013: 452-459 - [c25]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition. DICTA 2013: 1-6 - [c24]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann:
Unsupervised Domain Adaptation by Domain Invariant Projection. ICCV 2013: 769-776 - [c23]Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
A Framework for Shape Analysis via Hilbert Space Embedding. ICCV 2013: 1249-1256 - [c22]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell:
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution. ICCV 2013: 3120-3127 - [c21]Azadeh Alavi, Yan Yang, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
Multi-shot person re-identification via relational Stein divergence. ICIP 2013: 3542-3546 - [c20]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Abbas Bigdeli, Brian C. Lovell, Mathieu Salzmann:
Non-Linear Stationary Subspace Analysis with Application to Video Classification. ICML (3) 2013: 450-458 - [c19]Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
Spatio-temporal covariance descriptors for action and gesture recognition. WACV 2013: 103-110 - [c18]Azadeh Alavi, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
Relational divergence based classification on Riemannian manifolds. WACV 2013: 111-116 - 2012
- [c17]Conrad Sanderson, Mehrtash Tafazzoli Harandi, Yongkang Wong, Brian C. Lovell:
Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification. AVSS 2012: 294-299 - [c16]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Richard I. Hartley, Brian C. Lovell:
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach. ECCV (2) 2012: 216-229 - [c15]Ehsan Norouznezhad, Mehrtash Tafazzoli Harandi, Abbas Bigdeli, Mahsa Baktash, Adam Postula, Brian C. Lovell:
Directional Space-Time Oriented Gradients for 3D Visual Pattern Analysis. ECCV (3) 2012: 736-749 - [c14]Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
K-tangent spaces on Riemannian manifolds for improved pedestrian detection. ICIP 2012: 473-476 - [c13]Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Azadeh Alavi, Brian C. Lovell:
Clustering on Grassmann manifolds via kernel embedding with application to action analysis. ICIP 2012: 781-784 - [c12]Yongkang Wong, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Brian C. Lovell:
On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches. IJCNN 2012: 1-8 - [c11]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Arnold Wiliem, Brian C. Lovell:
Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures. WACV 2012: 433-439 - 2011
- [c10]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Sareh Abolahrari Shirazi, Brian C. Lovell:
Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching. CVPR 2011: 2705-2712 - [c9]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Abbas Bigdeli, Brian C. Lovell:
Ensemble of furthest subspace pairs for enhanced image set matching. ICIP 2011: 821-824 - 2010
- [c8]Mehrtash Tafazzoli Harandi, Abbas Bigdeli, Brian C. Lovell:
Image-set face recognition based on transductive learning. ICIP 2010: 2425-2428 - [c7]Mehrtash Tafazzoli Harandi, Majid Nili Ahmadabadi, Babak Nadjar Araabi, Abbas Bigdeli, Brian C. Lovell:
Directed Random Subspace Method for Face Recognition. ICPR 2010: 2688-2691 - 2007
- [c6]Mehrtash Tafazzoli Harandi, Majid Nili Ahmadabadi, Babak Nadjar Araabi:
A Hierarchical Face Identification System Based on Facial Components. AICCSA 2007: 669-675 - [c5]Mehrtash Tafazzoli Harandi, Majid Nili Ahmadabadi, Babak Nadjar Araabi:
A hybrid model for face recognition using facial components. ISSPA 2007: 1-4 - 2004
- [c4]Majid Safari, Mehrtash Tafazzoli Harandi, Babak Nadjar Araabi:
A SVM-based method for face recognition using a wavelet PCA representation of faces. ICIP 2004: 853-856 - [c3]Mehrtash Tafazzoli Harandi, Majid Nili Ahmadabadi, Babak Nadjar Araabi:
Face recognition using reinforcement learning. ICIP 2004: 2709-2712 - 2003
- [c2]Mehrtash Tafazzoli Harandi, Babak Nadjar Araabi:
Impulse noise removal based on long-range correlation in an image. ICECS 2003: 244-247 - [c1]Mehrtash Tafazzoli Harandi, Mohammad Gharavi-Alkhansari:
Low bitrate image compression using self-organized Kohonen maps. ICIP (2) 2003: 267-270
Parts in Books or Collections
- 2017
- [p1]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Mathieu Salzmann:
Learning Domain Invariant Embeddings by Matching Distributions. Domain Adaptation in Computer Vision Applications 2017: 95-114
Informal and Other Publications
- 2024
- [i99]Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi:
EraseDiff: Erasing Data Influence in Diffusion Models. CoRR abs/2401.05779 (2024) - [i98]Jing Wu, Mehrtash Harandi:
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks. CoRR abs/2401.06187 (2024) - [i97]Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Dinh Phung:
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning. CoRR abs/2403.14101 (2024) - [i96]Yihang Chen, Qianyi Wu, Jianfei Cai, Mehrtash Harandi, Weiyao Lin:
HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression. CoRR abs/2403.14530 (2024) - [i95]Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi:
Backpropagation-free Network for 3D Test-time Adaptation. CoRR abs/2403.18442 (2024) - [i94]Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai:
How Far Can We Compress Instant-NGP-Based NeRF? CoRR abs/2406.04101 (2024) - [i93]Pengxiang Li, Zhi Gao, Bofei Zhang, Tao Yuan, Yuwei Wu, Mehrtash Harandi, Yunde Jia, Song-Chun Zhu, Qing Li:
FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models. CoRR abs/2407.11522 (2024) - 2023
- [i92]Tung-Long Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Q. Phung:
Vector Quantized Wasserstein Auto-Encoder. CoRR abs/2302.05917 (2023) - [i91]Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu:
Exploring Data Geometry for Continual Learning. CoRR abs/2304.03931 (2023) - [i90]Pengfei Fang, Mehrtash Harandi, Trung Le, Dinh Q. Phung:
Hyperbolic Geometry in Computer Vision: A Survey. CoRR abs/2304.10764 (2023) - [i89]Mevan Ekanayake, Zhifeng Chen, Gary F. Egan, Mehrtash Harandi, Zhaolin Chen:
Contrastive Learning MRI Reconstruction. CoRR abs/2306.00530 (2023) - [i88]Ruyi Zha, Xuelian Cheng, Hongdong Li, Mehrtash Harandi, Zongyuan Ge:
EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos. CoRR abs/2307.11307 (2023) - [i87]Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi:
Subspace Distillation for Continual Learning. CoRR abs/2307.16419 (2023) - [i86]Kaushik Roy, Peyman Moghadam, Mehrtash Harandi:
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space. CoRR abs/2307.16459 (2023) - [i85]Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Hyperbolic Audio-visual Zero-shot Learning. CoRR abs/2308.12558 (2023) - [i84]Tuan Truong, Hoang-Phi Nguyen, Tung Pham, Minh-Tuan Tran, Mehrtash Harandi, Dinh Phung, Trung Le:
RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization. CoRR abs/2309.17215 (2023) - [i83]Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung:
Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation. CoRR abs/2310.00258 (2023) - [i82]Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi:
Continual Test-time Domain Adaptation via Dynamic Sample Selection. CoRR abs/2310.03335 (2023) - [i81]Yang Yi Poh, Ethan Grooby, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Mehrtash Harandi, Faezeh Marzbanrad:
Real-time Neonatal Chest Sound Separation using Deep Learning. CoRR abs/2310.17116 (2023) - [i80]Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi:
LaViP: Language-Grounded Visual Prompts. CoRR abs/2312.10945 (2023) - 2022
- [i79]Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. CoRR abs/2201.03777 (2022) - [i78]Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani:
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. CoRR abs/2202.06139 (2022) - [i77]Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker:
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CoRR abs/2203.03970 (2022) - [i76]Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge:
Implicit Motion Handling for Video Camouflaged Object Detection. CoRR abs/2203.07363 (2022) - [i75]Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
GOSS: Towards Generalized Open-set Semantic Segmentation. CoRR abs/2203.12116 (2022) - [i74]Markus Hiller, Mehrtash Harandi, Tom Drummond:
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation. CoRR abs/2206.07260 (2022) - [i73]Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond:
Rethinking Generalization in Few-Shot Classification. CoRR abs/2206.07267 (2022) - [i72]Mevan Ekanayake, Kamlesh Pawar, Mehrtash Harandi, Gary F. Egan, Zhaolin Chen:
Multi-head Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction. CoRR abs/2207.08412 (2022) - [i71]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge:
Deep Laparoscopic Stereo Matching with Transformers. CoRR abs/2207.12152 (2022) - [i70]Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi:
Curved Geometric Networks for Visual Anomaly Recognition. CoRR abs/2208.01188 (2022) - [i69]Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi:
Defense against Privacy Leakage in Federated Learning. CoRR abs/2209.05724 (2022) - [i68]Soumava Kumar Roy, Yan Han, Mehrtash Harandi, Lars Petersson:
Learning Deep Optimal Embeddings with Sinkhorn Divergences. CoRR abs/2209.06469 (2022) - [i67]Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation. CoRR abs/2209.07704 (2022) - [i66]Nicholas Rosa, Tom Drummond, Mehrtash Harandi:
A Differentiable Distance Approximation for Fairer Image Classification. CoRR abs/2210.04369 (2022) - [i65]Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari:
LAVA: Label-efficient Visual Learning and Adaptation. CoRR abs/2210.10317 (2022) - [i64]Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi, Tom Drummond, Zongyuan Ge:
Multimorbidity Content-Based Medical Image Retrieval Using Proxies. CoRR abs/2211.12185 (2022) - [i63]Jie Hong, Shi Qiu, Weihao Li, Saeed Anwar, Mehrtash Harandi, Nick Barnes, Lars Petersson:
PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis. CoRR abs/2212.02011 (2022) - 2021
- [i62]Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, Zongyuan Ge:
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation. CoRR abs/2103.00528 (2021) - [i61]Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CoRR abs/2103.04059 (2021) - [i60]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
Learning to Continually Learn Rapidly from Few and Noisy Data. CoRR abs/2103.04066 (2021) - [i59]Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson:
Reinforced Attention for Few-Shot Learning and Beyond. CoRR abs/2104.04192 (2021) - [i58]Anoop Cherian, Panagiotis Stanitsas, Jue Wang, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos:
Learning Log-Determinant Divergences for Positive Definite Matrices. CoRR abs/2104.06461 (2021) - [i57]Christian Simon, Piotr Koniusz, Mehrtash Harandi:
On Learning the Geodesic Path for Incremental Learning. CoRR abs/2104.08572 (2021) - [i56]Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li:
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions. CoRR abs/2104.11103 (2021) - [i55]Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Semi-Supervised Metric Learning: A Deep Resurrection. CoRR abs/2105.05061 (2021) - [i54]Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation. CoRR abs/2108.11154 (2021) - [i53]Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi:
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. CoRR abs/2109.09300 (2021) - [i52]Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes:
Dense Uncertainty Estimation. CoRR abs/2110.06427 (2021) - [i51]Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi:
Towards a Robust Differentiable Architecture Search under Label Noise. CoRR abs/2110.12197 (2021) - [i50]Christian Simon, Piotr Koniusz, Mehrtash Harandi:
Meta-Learning for Multi-Label Few-Shot Classification. CoRR abs/2110.13494 (2021) - [i49]Tianyu Zhu, Rongkai Ma, Mehrtash Harandi, Tom Drummond:
Learning Online for Unified Segmentation and Tracking Models. CoRR abs/2111.06994 (2021) - [i48]Jing Zhang, Yuchao Dai, Mehrtash Harandi, Yiran Zhong, Nick Barnes, Richard Hartley:
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model. CoRR abs/2111.11055 (2021) - [i47]Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
A Volumetric Transformer for Accurate 3D Tumor Segmentation. CoRR abs/2111.13300 (2021) - [i46]Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi:
Adaptive Poincaré Point to Set Distance for Few-Shot Classification. CoRR abs/2112.01719 (2021) - [i45]Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tom Drummond, Mehrtash Harandi:
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning. CoRR abs/2112.03494 (2021) - 2020
- [i44]Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Affinity guided Geometric Semi-Supervised Metric Learning. CoRR abs/2002.12394 (2020) - [i43]Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation. CoRR abs/2003.10042 (2020) - [i42]Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Cross-Correlated Attention Networks for Person Re-Identification. CoRR abs/2006.09597 (2020) - [i41]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
MTL2L: A Context Aware Neural Optimiser. CoRR abs/2007.09343 (2020) - [i40]Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss. CoRR abs/2008.09880 (2020) - [i39]Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi:
Channel Recurrent Attention Networks for Video Pedestrian Retrieval. CoRR abs/2010.03108 (2020) - [i38]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Tom Drummond, Hongdong Li, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. CoRR abs/2010.13501 (2020) - [i37]Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi:
Set Augmented Triplet Loss for Video Person Re-Identification. CoRR abs/2011.00774 (2020) - [i36]Jing Zhang, Yuchao Dai, Xin Yu, Mehrtash Harandi, Nick Barnes, Richard I. Hartley:
Uncertainty-Aware Deep Calibrated Salient Object Detection. CoRR abs/2012.06020 (2020) - 2019
- [i35]Tong Zhang, Pan Ji, Mehrtash Harandi, Wen-bing Huang, Hongdong Li:
Neural Collaborative Subspace Clustering. CoRR abs/1904.10596 (2019) - [i34]Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
A Probabilistic approach for Learning Embeddings without Supervision. CoRR abs/1912.08275 (2019) - 2018
- [i33]Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Tafazzoli Harandi, Fatih Porikli, Rui Zhang:
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond. CoRR abs/1802.01093 (2018) - [i32]Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. CoRR abs/1802.07351 (2018) - [i31]Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley:
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective. CoRR abs/1803.10910 (2018) - [i30]Yao Lu, Mehrtash Harandi, Richard I. Hartley, Razvan Pascanu:
Block Mean Approximation for Efficient Second Order Optimization. CoRR abs/1804.05484 (2018) - [i29]Tong Zhang, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Ian D. Reid:
Scalable Deep k-Subspace Clustering. CoRR abs/1811.01045 (2018) - 2017
- [i28]Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould:
Generalized Rank Pooling for Activity Recognition. CoRR abs/1704.02112 (2017) - [i27]Anoop Cherian, Panagiotis Stanitsas, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos:
Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version). CoRR abs/1708.01741 (2017) - 2016
- [i26]Samitha Herath, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Going Deeper into Action Recognition: A Survey. CoRR abs/1605.04988 (2016) - [i25]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods. CoRR abs/1605.06182 (2016) - [i24]Wen-bing Huang, Fuchun Sun, Le-le Cao, Mehrtash Harandi:
Analyzing Linear Dynamical Systems: From Modeling to Coding and Learning. CoRR abs/1608.01059 (2016) - [i23]Mehrtash Harandi, Basura Fernando:
Generalized BackPropagation, Étude De Cas: Orthogonality. CoRR abs/1611.05927 (2016) - [i22]Samitha Herath, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Learning an Invariant Hilbert Space for Domain Adaptation. CoRR abs/1611.08350 (2016) - 2015
- [i21]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli:
When VLAD met Hilbert. CoRR abs/1507.08373 (2015) - [i20]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh:
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs. CoRR abs/1507.08711 (2015) - 2014
- [i19]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Chunhua Shen, Brian C. Lovell, Conrad Sanderson:
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. CoRR abs/1401.8126 (2014) - [i18]Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Conrad Sanderson:
Object Tracking via Non-Euclidean Geometry: A Grassmann Approach. CoRR abs/1403.0309 (2014) - [i17]Azadeh Alavi, Yan Yang, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
Multi-Shot Person Re-Identification via Relational Stein Divergence. CoRR abs/1403.0699 (2014) - [i16]Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
K-Tangent Spaces on Riemannian Manifolds for Improved Pedestrian Detection. CoRR abs/1403.1056 (2014) - [i15]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli:
Bregman Divergences for Infinite Dimensional Covariance Matrices. CoRR abs/1403.4334 (2014) - [i14]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices. CoRR abs/1407.1120 (2014) - [i13]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard I. Hartley, Hongdong Li:
Expanding the Family of Grassmannian Kernels: An Embedding Perspective. CoRR abs/1407.1123 (2014) - [i12]Sareh Abolahrari Shirazi, Conrad Sanderson, Chris McCool, Mehrtash Tafazzoli Harandi:
Improved Object Tracking via Bags of Affine Subspaces. CoRR abs/1408.2313 (2014) - [i11]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Brian C. Lovell, Conrad Sanderson:
Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences. CoRR abs/1409.0083 (2014) - [i10]Mehrtash Tafazzoli Harandi, Mathieu Salzmann:
Kernel Coding: General Formulation and Special Cases. CoRR abs/1409.0084 (2014) - [i9]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels. CoRR abs/1412.0265 (2014) - [i8]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices. CoRR abs/1412.4172 (2014) - [i7]Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
A Framework for Shape Analysis via Hilbert Space Embedding. CoRR abs/1412.4174 (2014) - [i6]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Optimizing Over Radial Kernels on Compact Manifolds. CoRR abs/1412.4175 (2014) - 2013
- [i5]Yongkang Wong, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly. CoRR abs/1303.1624 (2013) - [i4]Conrad Sanderson, Mehrtash Tafazzoli Harandi, Yongkang Wong, Brian C. Lovell:
Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification. CoRR abs/1303.2783 (2013) - [i3]Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
Spatio-Temporal Covariance Descriptors for Action and Gesture Recognition. CoRR abs/1303.6021 (2013) - [i2]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Richard I. Hartley, Brian C. Lovell:
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach. CoRR abs/1304.4344 (2013) - [i1]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell:
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution. CoRR abs/1310.4891 (2013)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-25 20:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
