Mehrtash Harandi

发表

Learning Discriminative αβ-Divergences for Positive Definite Matrices

Vassilios Morellas, Anoop Cherian, Panagiotis Stanitsas, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Projective Subspace Networks For Few-Shot Learning

Piotr Koniusz, Mehrtash Harandi, Christian Simon, 2018 .

Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks

Huaping Liu, Chuang Gan, Wenbing Huang, 2019, IEEE Transactions on Image Processing.

Face Recognition from Still Images to Video Sequences : A Local Facial Feature Based Framework

C. Sanderson, B. Lovell, Mehrtash Harandi, 2010 .

On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation

T. Drummond, Mehrtash Harandi, Markus Hiller, 2022, 2206.07260.

Rethinking Generalization in Few-Shot Classification

T. Drummond, Mehrtash Harandi, Markus Hiller, 2022, ArXiv.

Efficient Riemannian Meta-Optimization by Implicit Differentiation

Yunde Jia, Yuwei Wu, Zhi Gao, 2022, AAAI.

Learning Deep Optimal Embeddings with Sinkhorn Divergences

Mehrtash Harandi, L. Petersson, S. Roy, 2022, SSRN Electronic Journal.

On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation

T. Drummond, Mehrtash Harandi, M. Hiller, 2022, ArXiv.

Rethinking Generalization in Few-Shot Classification

T. Drummond, Mehrtash Harandi, Rongkai Ma, 2022, ArXiv.

On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation

T. Drummond, Mehrtash Harandi, M. Hiller, 2022, NeurIPS.

Rethinking Generalization in Few-Shot Classification

T. Drummond, Mehrtash Harandi, Rongkai Ma, 2022, NeurIPS.

LAVA:Label-efficient Visual Learning and Adaptation

Gholamreza Haffari, Mehrtash Harandi, Munawar Hayat, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Defense against Privacy Leakage in Federated Learning

Mehrtash Harandi, Munawar Hayat, Min Zhou, 2022, ArXiv.

Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation

Mehrtash Harandi, Munawar Hayat, Zhaolin Chen, 2022, ArXiv.

Multi-head Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction

Mehrtash Harandi, Zhaolin Chen, K. Pawar, 2022, ArXiv.

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Mehrtash Harandi, Munawar Hayat, Zhaolin Chen, 2021, MICCAI.

A Differentiable Distance Approximation for Fairer Image Classification

T. Drummond, Mehrtash Harandi, Nicholas Rosa, 2022, ACCV.

PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis

Mehrtash Harandi, N. Barnes, L. Petersson, 2022, ArXiv.

Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications

Shengping Zhang, Pong C. Yuen, Mehrtash Harandi, 2015, AAAI.

Semi-Supervised Metric Learning: A Deep Resurrection pdf

Chellu Chandra Sekhar, Mehrtash Harandi, Ujjal Kr Dutta, 2021, AAAI.

A Volumetric Transformer for Accurate 3D Tumor Segmentation pdf

Munawar Hayat, Mehrtash Harandi, Zhaolin Chen, 2021, ArXiv.

Generalized BackPropagation, Étude De Cas: Orthogonality pdf

Basura Fernando, Mehrtash Harandi, Basura Fernando, 2016, ArXiv.

Neural Collaborative Subspace Clustering pdf

Hongdong Li, Tong Zhang, Pan Ji, 2019, ICML.

Scalable Deep k-Subspace Clustering

Ian D. Reid, Richard I. Hartley, Tong Zhang, 2018, ACCV.

Dense Uncertainty Estimation pdf

Nick Barnes, Christian Walder, Peyman Moghadam, 2021, ArXiv.

On Generalizing Beyond Domains in Cross-Domain Continual Learning

Manmohan Chandraker, Mehrtash Harandi, S. Schulter, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces

Mehrtash Harandi, Sameera Ramasinghe, Christian Simon, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

On Learning the Geodesic Path for Incremental Learning

Piotr Koniusz, Mehrtash Harandi, Christian Simon, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Devon: Deformable Volume Network for Learning Optical Flow

Heng Wang, Yao Lu, Juho Kannala, 2018, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Attention in Attention Networks for Person Retrieval

Jie Zhou, Mehrtash Harandi, L. Petersson, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective

Jing Zhang, Tong Zhang, Richard I. Hartley, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning to Optimize on Riemannian Manifolds

Yunde Jia, Yuwei Wu, Zhi Gao, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Kernel Methods in Hyperbolic Spaces

Mehrtash Harandi, Pengfei Fang, L. Petersson, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Plastic and Stable Gated Classifiers for Continual Learning

Gabriela Ferraro, Hanna Suominen, Christian Walder, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Meta-Learning for Multi-Label Few-Shot Classification pdf

Piotr Koniusz, Mehrtash Harandi, Christian Simon, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Generalized Rank Pooling for Activity Recognition

Anoop Cherian, Basura Fernando, Stephen Gould, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Exploring Data Geometry for Continual Learning

Yunde Jia, Yuwei Wu, Zhi Gao, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds

Yunde Jia, Yuwei Wu, Zhi Gao, 2022, NeurIPS.

GOSS: Towards Generalized Open-set Semantic Segmentation

Mehrtash Harandi, L. Petersson, Wei-Hong Li, 2022, Vis. Comput..

Adaptive Poincaré Point to Set Distance for Few-Shot Classification

Tom Drummond, Pengfei Fang, Mehrtash Harandi, 2021, AAAI.

Geometry Aware Constrained Optimization Techniques for Deep Learning

Soumava Kumar Roy, Mehrtash Harandi, Zakaria Mhammedi, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Vector Quantized Wasserstein Auto-Encoder

Dinh Q. Phung, Trung-Nghia Le, Mehrtash Harandi, 2023, ICML.

RMAML: Riemannian meta-learning with orthogonality constraints

Mehrtash Harandi, S. Roy, Hossein Karshenas, 2023, Pattern Recognit..

A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study

Mehrtash Harandi, A. Milani, Apurva Narayan, 2022, 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS).

Using temporal information for recognizing actions from still images

Basura Fernando, Mehrtash Harandi, Samitha Herath, 2019, Pattern Recognit..

Subspace Distillation for Continual Learning

Mehrtash Harandi, Peyman Moghadam, Christian Simon, 2023, 2307.16419.

Reinforced Attention for Few-Shot Learning and Beyond

Lars Petersson, Pengfei Fang, Tong Zhang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-Label Proxy Metric Learning

Benjamin J. Meyer, T. Drummond, ZongYuan Ge, 2023, IEEE Access.

L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space

Mehrtash Harandi, Peyman Moghadam, Kaushik Roy, 2023, 2307.16459.

Subspace Distillation for Continual Learning

Mehrtash Harandi, Peyman Moghadam, Christian Simon, 2023, Neural networks : the official journal of the International Neural Network Society.

Feature Correlation Aggregation: on the Path to Better Graph Neural Networks pdf

Lars Petersson, Pengfei Fang, Tong Zhang, 2021, ArXiv.

EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos

ZongYuan Ge, Mehrtash Harandi, Xuelian Cheng, 2023, ArXiv.

Learning Log-Determinant Divergences for Positive Definite Matrices

Vassilios Morellas, Anoop Cherian, Panagiotis Stanitsas, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Hyperbolic Audio-visual Zero-shot Learning

Mehrtash Harandi, Zeeshan Hayder, L. Petersson, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Poincaré Kernels for Hyperbolic Representations

Zhenzhong Lan, Mehrtash Harandi, Pengfei Fang, 2023, International Journal of Computer Vision.

Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version)

N. Papanikolopoulos, V. Morellas, A. Cherian, 2017, ArXiv.

PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning

Mehrtash Harandi, N. Barnes, L. Petersson, 2022, 2212.02011.

Towards a Robust Differentiable Architecture Search under Label Noise pdf

Lars Petersson, Piotr Koniusz, Mehrtash Harandi, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Discrepant collaborative training by Sinkhorn divergences

Lars Petersson, Soumava Kumar Roy, Mehrtash Harandi, 2021, Image Vis. Comput..

RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization

Dinh Q. Phung, Mehrtash Harandi, Tuan Truong, 2023, ArXiv.

Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation pdf

Mehrtash Harandi, Gary Egan, Zhaolin Chen, 2021, MICCAI.

PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning

Mehrtash Harandi, N. Barnes, L. Petersson, 2022, 2212.02011.

L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space

Mehrtash Harandi, Peyman Moghadam, Kaushik Roy, 2023, MICCAI.

Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation

Mehrtash Harandi, Zeeshan Hayder, Jieming Zhou, 2023, 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks

Mehrtash Harandi, Jing Wu, 2024, 2401.06187.

Concealing Sensitive Samples against Gradient Leakage in Federated Learning

Mehrtash Harandi, Munawar Hayat, Min Zhou, 2022, 2209.05724.

EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos

ZongYuan Ge, Mehrtash Harandi, Xuelian Cheng, 2023, MICCAI.

Semi-supervised segmentation for construction and demolition waste recognition in-the-wild: Adversarial dual-view networks

Mehrtash Harandi, M. Arashpour, Diani Sirimewan, 2024, Resources, Conservation and Recycling.

Domain Neural Adaptation

Zijie Hong, Mehrtash Harandi, Sentao Chen, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Block Mean Approximation for Efficient Second Order Optimization pdf

Razvan Pascanu, Yao Lu, Richard I. Hartley, 2018, ArXiv.

CL3: Generalization of Contrastive Loss for Lifelong Learning

Mehrtash Harandi, Christian Simon, Kaushik Roy, 2023, J. Imaging.

Learning Online for Unified Segmentation and Tracking Models

Tom Drummond, Mehrtash Harandi, Rongkai Ma, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

EraseDiff: Erasing Data Influence in Diffusion Models

Mehrtash Harandi, Munawar Hayat, Jing Wu, 2024, ArXiv.

Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation

Mehrtash Harandi, Munawar Hayat, Zhaolin Chen, 2023, Nature Machine Intelligence.

Backpropagation-free Network for 3D Test-time Adaptation

Mehrtash Harandi, Zeeshan Hayder, Sameera Ramasinghe, 2024, ArXiv.

Subspace Distillation for Continual Learning

Mehrtash Harandi, Peyman Moghadam, Christian Simon, 2023, Neural Networks.

Flashback for Continual Learning

Mehrtash Harandi, Peyman Moghadam, Leila Mahmoodi, 2023, 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions pdf

Ce Zhu, Mehrtash Harandi, Li Li, 2021, ArXiv.

Can we Distill Knowledge from Powerful Teachers Directly?

Mehrtash Harandi, Munawar Hayat, Chengyao Qian, 2023, 2023 IEEE International Conference on Image Processing (ICIP).

Rethinking Generalization in Few-Shot Classification

T. Drummond, Mehrtash Harandi, Markus Hiller, 2022, NeurIPS.

Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming

Mehrtash Harandi, R. Seethaler, Milad Ramezankhani, 2023, International journal of computer integrated manufacturing (Print).