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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) - [c121]Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi:
LaViP: Language-Grounded Visual Prompting. AAAI 2024: 2840-2848 - [c120]Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi:
Concealing Sensitive Samples against Gradient Leakage in Federated Learning. AAAI 2024: 21717-21725 - [c119]Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai:
How Far can we Compress Instant-NGP-Based NeRF? CVPR 2024: 20321-20330 - [c118]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 - [c117]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 - [c116]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 - [c115]Ali Cheraghian, Zeeshan Hayder, Sameera Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi:
Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning. ECCV (41) 2024: 36-53 - [c114]Jing Wu, Mehrtash Harandi:
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks. ECCV (47) 2024: 367-384 - [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 - [i101]Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi:
EraseDiff: Erasing Data Influence in Diffusion Models. CoRR abs/2401.05779 (2024) - [i100]Jing Wu, Mehrtash Harandi:
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks. CoRR abs/2401.06187 (2024) - [i99]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) - [i98]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) - [i97]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) - [i96]Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai:
How Far Can We Compress Instant-NGP-Based NeRF? CoRR abs/2406.04101 (2024) - [i95]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) - [i94]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) - [i93]Yihang Chen, Qianyi Wu, Mengyao Li, Weiyao Lin, Mehrtash Harandi, Jianfei Cai:
Fast Feedforward 3D Gaussian Splatting Compression. CoRR abs/2410.08017 (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]