Mehrtash Harandi

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 169

Top Venues

Publications

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) (2024)
Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi
Concealing Sensitive Samples against Gradient Leakage in Federated Learning. AAAI (2024)
Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai
How Far Can We Compress Instant-NGP-Based NeRF? CoRR (2024)
Yihang Chen, Qianyi Wu, Jianfei Cai, Mehrtash Harandi, Weiyao Lin
HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression. CoRR (2024)
Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi
EraseDiff: Erasing Data Influence in Diffusion Models. CoRR (2024)
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) (2024)
Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi
LaViP: Language-Grounded Visual Prompting. AAAI (2024)
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) (2024)
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 (2024)
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 (2024)
Jing Wu, Mehrtash Harandi
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks. CoRR (2024)
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)
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 (2024)
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 (2024)
Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Dinh Phung
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning. CoRR (2024)
Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari
LAVA:Label-efficient Visual Learning and Adaptation. WACV (2023)
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 (2023)
Chengyao Qian, Munawar Hayat, Mehrtash Harandi
Can we Distill Knowledge from Powerful Teachers Directly? ICIP (2023)
Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
Subspace distillation for continual learning. Neural Networks 167 (2023)
Mohamed Daoudi, Mehrtash Harandi, Vittorio Murino
Guest Editorial : Learning with Manifolds in Computer Vision. Image Vis. Comput. 129 (2023)
Ruyi Zha, Xuelian Cheng, Hongdong Li, Mehrtash Harandi, Zongyuan Ge
EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos. MICCAI (9) (2023)
Leila Mahmoodi, Mehrtash Harandi, Peyman Moghadam
Flashback for Continual Learning. ICCV (Workshops) (2023)
Long Tung Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Q. Phung
Vector Quantized Wasserstein Auto-Encoder. ICML (2023)
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) (2023)
Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
CL3: Generalization of Contrastive Loss for Lifelong Learning. J. Imaging 9 (12) (2023)
Pengfei Fang, Mehrtash Harandi, Trung Le, Dinh Q. Phung
Hyperbolic Geometry in Computer Vision: A Survey. CoRR (2023)
Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi
LaViP: Language-Grounded Visual Prompts. CoRR (2023)
Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu
Exploring Data Geometry for Continual Learning. CoRR (2023)
Zhi Gao, Yuwei Wu, Xiaomeng Fan, Mehrtash Harandi, Yunde Jia
Learning to Optimize on Riemannian Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Kaushik Roy, Peyman Moghadam, Mehrtash Harandi
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space. CoRR (2023)
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 (2023)
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 (2023)
Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi
RMAML: Riemannian meta-learning with orthogonality constraints. Pattern Recognit. 140 (2023)
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)
Tung-Long Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Q. Phung
Vector Quantized Wasserstein Auto-Encoder. CoRR (2023)
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) (2023)
Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. DICTA (2023)
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 (2023)
Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson
Hyperbolic Audio-visual Zero-shot Learning. ICCV (2023)
Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu
Exploring Data Geometry for Continual Learning. CVPR (2023)
Ruyi Zha, Xuelian Cheng, Hongdong Li, Mehrtash Harandi, Zongyuan Ge
EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos. CoRR (2023)
Jieming Zhou, Tong Zhang, Zeeshan Hayder, Lars Petersson, Mehrtash Harandi
Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation. ICCV (Workshops) (2023)
Pengfei Fang, Mehrtash Harandi, Zhenzhong Lan, Lars Petersson
Poincaré Kernels for Hyperbolic Representations. Int. J. Comput. Vis. 131 (11) (2023)
Mevan Ekanayake, Zhifeng Chen, Gary F. Egan, Mehrtash Harandi, Zhaolin Chen
Contrastive Learning MRI Reconstruction. CoRR (2023)
Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson
Hyperbolic Audio-visual Zero-shot Learning. CoRR (2023)
Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
Subspace Distillation for Continual Learning. CoRR (2023)
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 (2023)
Sentao Chen, Zijie Hong, Mehrtash Harandi, Xiaowei Yang
Domain Neural Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Kaushik Roy, Peyman Moghadam, Mehrtash Harandi
L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space. MICCAI (2) (2023)
Soumava Kumar Roy, Yan Han, Mehrtash Harandi, Lars Petersson
Learning Deep Optimal Embeddings with Sinkhorn Divergences. CoRR (2022)
Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge
Deep Laparoscopic Stereo Matching with Transformers. CoRR (2022)
Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
Towards a Robust Differentiable Architecture Search under Label Noise. WACV (2022)
Markus Hiller, Mehrtash Harandi, Tom Drummond
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation. CoRR (2022)
Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi
Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation. CoRR (2022)
Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi, Tom Drummond, Zongyuan Ge
Multimorbidity Content-Based Medical Image Retrieval Using Proxies. CoRR (2022)
Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond
Rethinking Generalization in Few-Shot Classification. CoRR (2022)
Nicholas Rosa, Tom Drummond, Mehrtash Harandi
A Differentiable Distance Approximation for Fairer Image Classification. CoRR (2022)
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 (2022)
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 (2022)
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 (2022)
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) (2022)
Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi
Defense against Privacy Leakage in Federated Learning. CoRR (2022)
Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, Mehrtash Harandi
Efficient Riemannian Meta-Optimization by Implicit Differentiation. AAAI (2022)
Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi
Curved Geometric Networks for Visual Anomaly Recognition. CoRR (2022)
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 (2022)
Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge
Deep Laparoscopic Stereo Matching with Transformers. MICCAI (8) (2022)
Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
GOSS: Towards Generalized Open-set Semantic Segmentation. CoRR (2022)
Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond
Rethinking Generalization in Few-Shot Classification. NeurIPS (2022)
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)
Nicholas Rosa, Tom Drummond, Mehrtash Harandi
A Differentiable Distance Approximation for Fairer Image Classification. ACCV (6) (2022)
Christian Simon, Piotr Koniusz, Mehrtash Harandi
Meta-Learning for Multi-Label Few-Shot Classification. WACV (2022)
Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari
LAVA: Label-efficient Visual Learning and Adaptation. CoRR (2022)
Markus Hiller, Mehrtash Harandi, Tom Drummond
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation. NeurIPS (2022)
Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds. NeurIPS (2022)
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)
Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge
Implicit Motion Handling for Video Camouflaged Object Detection. CoRR (2022)
Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation. MICCAI (5) (2022)
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)
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 (2022)
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)
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)
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) (2022)
Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi
Adaptive Poincaré Point to Set Distance for Few-Shot Classification. AAAI (2022)
Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions. CoRR (2021)
Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi
Set Augmented Triplet Loss for Video Person Re-Identification. WACV (2021)
Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. CoRR (2021)
Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar
Semi-Supervised Metric Learning: A Deep Resurrection. CoRR (2021)
Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tom Drummond, Mehrtash Harandi
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning. CoRR (2021)
Tianyu Zhu, Mehrtash Harandi, Rongkai Ma, Tom Drummond
Learning Online for Unified Segmentation and Tracking Models. IJCNN (2021)
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) (2021)
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)
Xiaomeng Fan, Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces. AAAI (2021)
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 (2021)
Anoop Cherian, Panagiotis Stanitsas, Jue Wang, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos
Learning Log-Determinant Divergences for Positive Definite Matrices. CoRR (2021)
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)
Tianyu Zhu, Rongkai Ma, Mehrtash Harandi, Tom Drummond
Learning Online for Unified Segmentation and Tracking Models. CoRR (2021)
Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi
Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation. MICCAI (2) (2021)
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) (2021)
Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson
Reinforced Attention for Few-Shot Learning and Beyond. CVPR (2021)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mehrtash Harandi