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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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2020 – today
- 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) - [c119]Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi:
LaViP: Language-Grounded Visual Prompting. AAAI 2024: 2840-2848 - [c118]Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi:
Concealing Sensitive Samples against Gradient Leakage in Federated Learning. AAAI 2024: 21717-21725 - [c117]Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai:
How Far can we Compress Instant-NGP-Based NeRF? CVPR 2024: 20321-20330 - [c116]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. CVPR 2024: 23231-23241 - [c115]Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung:
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation. CVPR 2024: 23860-23869 - [c114]Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung:
Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning. CVPR 2024: 23870-23880 - [c113]Yihang Chen, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai:
HAC: Hash-Grid Assisted Context for 3D Gaussian Splatting Compression. ECCV (7) 2024: 422-438 - [c112]Joshua May, Mehrtash Harandi, J. Scott Tyo, Liang Hu, Elizabeth A Ritchie-Tyo:
A CNN system for segmenting tropical cyclones neighborhoods in geostationary images. IGARSS 2024: 8259-8262 - [c111]Mevan Ekanayake, Zhifeng Chen, Mehrtash Harandi, Gary F. Egan, Zhaolin Chen:
Improving Deep Learning MRI Reconstruction with Contrastive Learning Pretraining. ISBI 2024: 1-4 - [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 - [i100]Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi:
EraseDiff: Erasing Data Influence in Diffusion Models. CoRR abs/2401.05779 (2024) - [i99]Jing Wu, Mehrtash Harandi:
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks. CoRR abs/2401.06187 (2024) - [i98]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) - [i97]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) - [i96]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) - [i95]Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai:
How Far Can We Compress Instant-NGP-Based NeRF? CoRR abs/2406.04101 (2024) - [i94]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) - [i93]Mevan Ekanayake, Zhifeng Chen, Gary F. Egan, Mehrtash Harandi, Zhaolin Chen:
SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution. CoRR abs/2409.01013 (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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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)
2010 – 2019
- 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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [p1]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Mathieu Salzmann:
Learning Domain Invariant Embeddings by Matching Distributions. Domain Adaptation in Computer Vision Applications 2017: 95-114 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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) - 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
- [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) - [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
2000 – 2009
- 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) - 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
Coauthor Index
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