Mehrtash Harandi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
74
Venues
13
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
74 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | PCGS: Progressive Compression of 3D Gaussian Splatting. | Yihang Chen, Mengyao Li, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai |
| 2026 | AAAI | DIET: Machine Unlearning on a Data-Diet. | Nilakshan Kunananthaseelan, Jing Wu, Trung Le, Gholamreza Haffari, Mehrtash Harandi |
| 2026 | WACV | Subspace-Guided Knowledge Distillation for Efficient Model Transfer. | Zeeshan Hayder, Ali Cheraghian, Lars Petersson, Mehrtash Harandi |
| 2025 | CVPR | Erasing Undesirable Influence in Diffusion Models. | Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi |
| 2025 | ICCV | A Good Teacher Adapts Their Knowledge for Distillation. | Chengyao Qian, Trung Le, Mehrtash Harandi |
| 2025 | ICCV | MUNBa: Machine Unlearning Via Nash Bargaining. | Jing Wu, Mehrtash Harandi |
| 2025 | ICLR | Fast Feedforward 3D Gaussian Splatting Compression. | Yihang Chen, Qianyi Wu, Mengyao Li, Weiyao Lin, Mehrtash Harandi, Jianfei Cai |
| 2025 | WACV | SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution. | Mevan Ekanayake, Zhifeng Chen, Gary F. Egan, Mehrtash Harandi, Zhaolin Chen |
| 2024 | AAAI | LaViP: Language-Grounded Visual Prompting. | Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi |
| 2024 | AAAI | Concealing Sensitive Samples against Gradient Leakage in Federated Learning. | Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi |
| 2024 | CVPR | How Far can we Compress Instant-NGP-Based NeRF? | Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai |
| 2024 | CVPR | Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning. | Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung |
| 2024 | CVPR | 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 Q. Phung |
| 2024 | CVPR | 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 |
| 2024 | ECCV | HAC: Hash-Grid Assisted Context for 3D Gaussian Splatting Compression. | Yihang Chen, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai |
| 2024 | ECCV | Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning. | Ali Cheraghian, Zeeshan Hayder, Sameera Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi |
| 2024 | ECCV | Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks. | Jing Wu, Mehrtash Harandi |
| 2024 | IGARSS | A CNN system for segmenting tropical cyclones neighborhoods in geostationary images. | Joshua May, Mehrtash Harandi, J. Scott Tyo, Liang Hu, Elizabeth A Ritchie-Tyo |
| 2024 | WACV | Continual Test-time Domain Adaptation via Dynamic Sample Selection. | Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi |
| 2023 | CVPR | Exploring Data Geometry for Continual Learning. | Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu |
| 2023 | DICTA | Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. | Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi |
| 2023 | ICCV | 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 |
| 2023 | ICCV | Hyperbolic Audio-visual Zero-shot Learning. | Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson |
| 2023 | ICIP | Can we Distill Knowledge from Powerful Teachers Directly? | Chengyao Qian, Munawar Hayat, Mehrtash Harandi |
| 2023 | ICML | Vector Quantized Wasserstein Auto-Encoder. | Long Tung Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Q. Phung |
| 2023 | MICCAI | L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space. | Kaushik Roy, Peyman Moghadam, Mehrtash Harandi |
| 2023 | MICCAI | EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos. | Ruyi Zha, Xuelian Cheng, Hongdong Li, Mehrtash Harandi, Zongyuan Ge |
| 2023 | WACV | LAVA:Label-efficient Visual Learning and Adaptation. | Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari |
| 2022 | AAAI | Efficient Riemannian Meta-Optimization by Implicit Differentiation. | Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, Mehrtash Harandi |
| 2022 | AAAI | Adaptive Poincar Point to Set Distance for Few-Shot Classification. | Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi |
| 2022 | ACCV | A Differentiable Distance Approximation for Fairer Image Classification. | Nicholas Rosa, Tom Drummond, Mehrtash Harandi |
| 2022 | CVPR | Implicit Motion Handling for Video Camouflaged Object Detection. | Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge |
| 2022 | CVPR | 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 |
| 2022 | ECCV | 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 |
| 2022 | MICCAI | Deep Laparoscopic Stereo Matching with Transformers. | Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge |
| 2022 | MICCAI | A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation. | Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi |
| 2022 | WACV | Meta-Learning for Multi-Label Few-Shot Classification. | Christian Simon, Piotr Koniusz, Mehrtash Harandi |
| 2022 | WACV | Towards a Robust Differentiable Architecture Search under Label Noise. | Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi |
| 2021 | AAAI | Semi-Supervised Metric Learning: A Deep Resurrection. | Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar |
| 2021 | AAAI | Learning a Gradient-free Riemannian Optimizer on Tangent Spaces. | Xiaomeng Fan, Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi |
| 2021 | AAAI | Learning to Continually Learn Rapidly from Few and Noisy Data. | Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen |
| 2021 | CVPR | Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. | Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi |
| 2021 | CVPR | Reinforced Attention for Few-Shot Learning and Beyond. | Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson |
| 2021 | CVPR | Plastic and Stable Gated Classifiers for Continual Learning. | Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen |
| 2021 | CVPR | On Learning the Geodesic Path for Incremental Learning. | Christian Simon, Piotr Koniusz, Mehrtash Harandi |
| 2021 | ICCV | 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 |
| 2021 | ICCV | Kernel Methods in Hyperbolic Spaces. | Pengfei Fang, Mehrtash Harandi, Lars Petersson |
| 2021 | ICCV | Curvature Generation in Curved Spaces for Few-Shot Learning. | Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi |
| 2021 | IJCNN | Learning Online for Unified Segmentation and Tracking Models. | Tianyu Zhu, Mehrtash Harandi, Rongkai Ma, Tom Drummond |
| 2021 | MICCAI | Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation. | Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi |
| 2021 | WACV | Set Augmented Triplet Loss for Video Person Re-Identification. | Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi |
| 2020 | AAAI | Unsupervised Metric Learning with Synthetic Examples. | Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar |
| 2020 | AAAI | Revisiting Bilinear Pooling: A Coding Perspective. | Zhi Gao, Yuwei Wu, Xiaoxun Zhang, Jindou Dai, Yunde Jia, Mehrtash Harandi |
| 2020 | ACCV | Channel Recurrent Attention Networks for Video Pedestrian Retrieval. | Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi |
| 2020 | CVPR | Learning to Optimize on SPD Manifolds. | Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi |
| 2020 | CVPR | M | Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen |
| 2020 | CVPR | Adaptive Subspaces for Few-Shot Learning. | Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi |
| 2020 | ECCV | On Modulating the Gradient for Meta-learning. | Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi |
| 2020 | IJCNN | An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. | Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen |
| 2020 | WACV | Learning from Noisy Labels via Discrepant Collaborative Training. | Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi |
| 2020 | WACV | Devon: Deformable Volume Network for Learning Optical Flow. | Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr |
| 2019 | CVPR | Min-Max Statistical Alignment for Transfer Learning. | Samitha Herath, Mehrtash Harandi, Basura Fernando, Richard Nock |
| 2019 | ICCV | Bilinear Attention Networks for Person Retrieval. | Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi |
| 2019 | ICCV | Siamese Networks: The Tale of Two Manifolds. | Soumava Kumar Roy, Mehrtash Harandi, Richard Nock, Richard I. Hartley |
| 2019 | ICML | Neural Collaborative Subspace Clustering. | Tong Zhang, Pan Ji, Mehrtash Harandi, Wen-bing Huang, Hongdong Li |
| 2018 | ACCV | Scalable Deep k-Subspace Clustering. | Tong Zhang, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Ian D. Reid |
| 2018 | CVPR | Geometry Aware Constrained Optimization Techniques for Deep Learning. | Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi |
| 2018 | CVPR | Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective. | Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley |
| 2018 | ECCV | Devon: Deformable Volume Network for Learning Optical Flow. | Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr |
| 2017 | CVPR | Generalized Rank Pooling for Activity Recognition. | Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould |
| 2017 | DICTA | Constrained Stochastic Gradient Descent: The Good Practice. | Soumava Kumar Roy, Mehrtash Harandi |
| 2017 | ICCV | Learning Discriminative αβ-Divergences for Positive Definite Matrices. | Anoop Cherian, Panagiotis Stanitsas, Mehrtash Harandi, Vassilios Morellas, Nikos Papanikolopoulos |
| 2016 | CVPR | Sparse Coding and Dictionary Learning with Linear Dynamical Systems. | Wen-bing Huang, Fuchun Sun, Le-le Cao, Deli Zhao, Huaping Liu, Mehrtash Harandi |
| 2015 | AAAI | Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications. | Shengping Zhang, Shiva Prasad Kasiviswanathan, Pong C. Yuen, Mehrtash Harandi |