Harandi, Mehrtash

75 publications

ICCV 2025 A Good Teacher Adapts Their Knowledge for Distillation Chengyao Qian, Trung Le, Mehrtash Harandi

CVPR 2025 Erasing Undesirable Influence in Diffusion Models Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi

ICLR 2025 Fast Feedforward 3D Gaussian Splatting Compression Yihang Chen, Qianyi Wu, Mengyao Li, Weiyao Lin, Mehrtash Harandi, Jianfei Cai

NeurIPS 2025 Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency Van-Anh Nguyen, Trung Le, Mehrtash Harandi, Ehsan Abbasnejad, Thanh-Toan Do, Dinh Phung

ICCV 2025 MUNBa: Machine Unlearning via Nash Bargaining Jing Wu, Mehrtash Harandi

WACV 2025 SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution Mevan Ekanayake, Zhifeng Chen, Gary Egan, Mehrtash Harandi, Zhaolin Chen

NeurIPS 2025 Token-Level Self-Play with Importance-Aware Guidance for Large Language Models Tue Le, Hoang Tran Vuong, Quyen Tran, Linh Ngo Van, Mehrtash Harandi, Trung Le

NeurIPS 2025 Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations Chaofan Gan, Yuanpeng Tu, Xi Chen, Tieyuan Chen, Yuxi Li, Mehrtash Harandi, Weiyao Lin

NeurIPS 2025 Unveiling M-Sharpness Through the Structure of Stochastic Gradient Noise Haocheng Luo, Mehrtash Harandi, Dinh Phung, Trung Le

CVPR 2024 Backpropagation-Free Network for 3D Test-Time Adaptation Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi

ECCV 2024 Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning Ali Cheraghian, Zeeshan Hayder, Sameeea Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi

AAAI 2024 Concealing Sensitive Samples Against Gradient Leakage in Federated Learning Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi

WACV 2024 Continual Test-Time Domain Adaptation via Dynamic Sample Selection Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi

NeurIPS 2024 Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization Haocheng Luo, Tuan Truong, Tung Pham, Mehrtash Harandi, Dinh Phung, Trung Le

NeurIPS 2024 FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models Pengxiang Li, Zhi Gao, Bofei Zhang, Tao Yuan, Yuwei Wu, Mehrtash Harandi, Yunde Jia, Song-Chun Zhu, Qing Li

ECCV 2024 HAC: Hash-Grid Assisted Context for 3D Gaussian Splatting Compression Yihang Chen, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai

CVPR 2024 How Far Can We Compress Instant-NGP-Based NeRF? Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai

AAAI 2024 LaViP: Language-Grounded Visual Prompting Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi

CVPR 2024 NAYER: Noisy Layer Data Generation for Efficient and Effective Data-Free Knowledge Distillation Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Quan Hung Tran, Dinh Phung

ECCV 2024 Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks Jing Wu, Mehrtash Harandi

CVPR 2024 Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung

ICCVW 2023 Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation Jieming Zhou, Tong Zhang, Zeeshan Hayder, Lars Petersson, Mehrtash Harandi

ICCV 2023 Energy-Based Self-Training and Normalization for Unsupervised Domain Adaptation Samitha Herath, Basura Fernando, Ehsan Abbasnejad, Munawar Hayat, Shahram Khadivi, Mehrtash Harandi, Hamid Rezatofighi, Gholamreza Haffari

CVPR 2023 Exploring Data Geometry for Continual Learning Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu

ICCVW 2023 Flashback for Continual Learning Leila Mahmoodi, Mehrtash Harandi, Peyman Moghadam

ICCV 2023 Hyperbolic Audio-Visual Zero-Shot Learning Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson

WACV 2023 LAVA: Label-Efficient Visual Learning and Adaptation Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari

ICML 2023 Vector Quantized Wasserstein Auto-Encoder Long Tung Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Phung

AAAI 2022 Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi

AAAI 2022 Efficient Riemannian Meta-Optimization by Implicit Differentiation Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, Mehrtash Harandi

NeurIPS 2022 Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi

CVPR 2022 Implicit Motion Handling for Video Camouflaged Object Detection Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge

ECCV 2022 Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond, Mehrtash Harandi

WACV 2022 Meta-Learning for Multi-Label Few-Shot Classification Christian Simon, Piotr Koniusz, Mehrtash Harandi

NeurIPS 2022 On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller, Mehrtash Harandi, Tom Drummond

CVPR 2022 On Generalizing Beyond Domains in Cross-Domain Continual Learning Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker

NeurIPS 2022 Rethinking Generalization in Few-Shot Classification Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond

WACV 2022 Towards a Robust Differentiable Architecture Search Under Label Noise Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi

ICCV 2021 Curvature Generation in Curved Spaces for Few-Shot Learning Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi

ICCV 2021 Kernel Methods in Hyperbolic Spaces Pengfei Fang, Mehrtash Harandi, Lars Petersson

AAAI 2021 Learning a Gradient-Free Riemannian Optimizer on Tangent Spaces Xiaomeng Fan, Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi

CVPR 2021 On Learning the Geodesic Path for Incremental Learning Christian Simon, Piotr Koniusz, Mehrtash Harandi

CVPRW 2021 Plastic and Stable Gated Classifiers for Continual Learning Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

CVPR 2021 Reinforced Attention for Few-Shot Learning and Beyond Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson

CVPR 2021 Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi

AAAI 2021 Semi-Supervised Metric Learning: A Deep Resurrection Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar

WACV 2021 Set Augmented Triplet Loss for Video Person Re-Identification Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi

ICCV 2021 Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Pengfei Fang, Christian Simon, Lars Petersson, Mehrtash Harandi

WACV 2020 Devon: Deformable Volume Network for Learning Optical Flow Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip Torr

NeurIPS 2020 Hierarchical Neural Architecture Search for Deep Stereo Matching Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, Zongyuan Ge

WACV 2020 Learning from Noisy Labels via Discrepant Collaborative Training Yan Han, Soumava Roy, Lars Petersson, Mehrtash Harandi

CVPRW 2020 M2SGD: Learning to Learn Important Weights Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

ECCV 2020 On Modulating the Gradient for Meta-Learning Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi

AAAI 2020 Revisiting Bilinear Pooling: A Coding Perspective Zhi Gao, Yuwei Wu, Xiaoxun Zhang, Jindou Dai, Yunde Jia, Mehrtash Harandi

AAAI 2020 Unsupervised Metric Learning with Synthetic Examples Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar

ICML 2019 Neural Collaborative Subspace Clustering Tong Zhang, Pan Ji, Mehrtash Harandi, Wenbing Huang, Hongdong Li

ECCVW 2018 Devon: Deformable Volume Network for Learning Optical Flow Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr

ECCV 2018 Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Harandi, Fatih Porikli, Rui Zhang

NeurIPS 2017 Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding Wenbing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun, Junzhou Huang

CVPR 2017 Generalized Rank Pooling for Activity Recognition Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould

ICML 2017 Joint Dimensionality Reduction and Metric Learning: A Geometric Take Mehrtash Harandi, Mathieu Salzmann, Richard Hartley

ICCV 2017 Learning Discriminative Ab-Divergences for Positive Definite Matrices Anoop Cherian, Panagiotis Stanitsas, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos

CVPR 2017 Learning an Invariant Hilbert Space for Domain Adaptation Samitha Herath, Mehrtash Harandi, Fatih Porikli

JMLR 2016 Distribution-Matching Embedding for Visual Domain Adaptation Mahsa Baktashmotlagh, Mehrtash Harandi, Mathieu Salzmann

CVPR 2016 Sparse Coding and Dictionary Learning with Linear Dynamical Systems Wenbing Huang, Fuchun Sun, Lele Cao, Deli Zhao, Huaping Liu, Mehrtash Harandi

CVPR 2016 When VLAD Met Hilbert Mehrtash Harandi, Mathieu Salzmann, Fatih Porikli

ICCV 2015 Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs Mehrtash Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh

AAAI 2015 Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications Shengping Zhang, Shiva Prasad Kasiviswanathan, Pong C. Yuen, Mehrtash Harandi

CVPR 2015 Riemannian Coding and Dictionary Learning: Kernels to the Rescue Mehrtash Harandi, Mathieu Salzmann

CVPR 2014 Bregman Divergences for Infinite Dimensional Covariance Matrices Mehrtash Harandi, Mathieu Salzmann, Fatih Porikli

CVPR 2014 Optimizing over Radial Kernels on Compact Manifolds Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

ICCV 2013 A Framework for Shape Analysis via Hilbert Space Embedding Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

ICCV 2013 Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution Mehrtash Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell

CVPR 2013 Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

ICML 2013 Non-Linear Stationary Subspace Analysis with Application to Video Classification Mahsa Baktashmotlagh, Mehrtash Harandi, Abbas Bigdeli, Brian Lovell, Mathieu Salzmann