Mehrtash Harandi

218 papers A* 46A 8B 3C 1Misc 2Journal 134Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence. CoRR Quoc Minh Nguyen, Trung Le, Jing Wu, Anh Tuan Bui, Mehrtash Harandi
2026	A*	`conf`	DIET: Machine Unlearning on a Data-Diet. AAAI Nilakshan Kunananthaseelan, Jing Wu, Trung Le, Gholamreza Haffari, Mehrtash Harandi
2026	A*	`conf`	PCGS: Progressive Compression of 3D Gaussian Splatting. AAAI Yihang Chen, Mengyao Li, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai
2026	J	`jnl`	Riemannian Implicit Differentiation via a Fixed-Point Equation for Riemannian Bilevel Optimization. IEEE Trans. Neural Networks Learn. Syst. Xiaomeng Fan, Yuwei Wu, Zhi Gao, Zhipeng Lu, Feng Li, Mehrtash Harandi, Yunde Jia
2026	J	`jnl`	Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization. CoRR Haocheng Luo, Zehang Deng, Thanh-Toan Do, Mehrtash Harandi, Dinh Q. Phung, Trung Le
2026	J	`jnl`	Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling. CoRR Minh-Tuan Tran, Xuan-May Le, Quan Hung Tran, Mehrtash Harandi, Dinh Q. Phung, Trung Le
2025	J	`jnl`	A Set-to-Set Distance Measure in Hyperbolic Space. CoRR Pengxiang Li, Wei Wu, Zhi Gao, Xiaomeng Fan, Peilin Yu, Yuwei Wu, Zhipeng Lu, Yunde Jia, Mehrtash Harandi
2025	J	`jnl`	Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review. CoRR Amara Zuffer, Michael Burke, Mehrtash Harandi
2025	J	`jnl`	CL-MRI: Self-Supervised contrastive learning to improve the accuracy of undersampled MRI reconstruction. Biomed. Signal Process. Control. Mevan Ekanayake, Zhifeng Chen, Mehrtash Harandi, Gary F. Egan, Zhaolin Chen
2025	J	`jnl`	Co-Manifold learning for semi-supervised medical image segmentation. Neurocomputing Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi
2025	J	`jnl`	Curvature Learning for Generalization of Hyperbolic Neural Networks. CoRR Xiaomeng Fan, Yuwei Wu, Zhi Gao, Mehrtash Harandi, Yunde Jia
2025	J	`jnl`	Curvature Learning for Generalization of Hyperbolic Neural Networks. Int. J. Comput. Vis. Xiaomeng Fan, Yuwei Wu, Zhi Gao, Mehrtash Harandi, Yunde Jia
2025	J	`jnl`	DUAL3D-Fed: Dual Distillation for 3D Continual Federated Learning With Vision-Language Models. IEEE Access Kaushik Roy, Mehrtash Harandi, Peyman Moghadam
2025	J	`jnl`	DoubleDiffusion: Combining Heat Diffusion with Denoising Diffusion for Generative Learning on 3D Meshes. CoRR Xuyang Wang, Ziang Cheng, Zhenyu Li, Jiayu Yang, Haorui Ji, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Hongdong Li
2025	A*	`conf`	Erasing Undesirable Influence in Diffusion Models. CVPR Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi
2025	J	`jnl`	Exemplar-Free Continual Learning for State Space Models. CoRR Isaac Ning Lee, Leila Mahmoodi, Trung Le, Mehrtash Harandi
2025	J	`jnl`	Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization. CoRR Haocheng Luo, Tuan Truong, Tung Pham, Mehrtash Harandi, Dinh Q. Phung, Trung Le
2025	A*	`conf`	Fast Feedforward 3D Gaussian Splatting Compression. ICLR Yihang Chen, Qianyi Wu, Mengyao Li, Weiyao Lin, Mehrtash Harandi, Jianfei Cai
2025	J	`jnl`	Flashbacks to Harmonize Stability and Plasticity in Continual Learning. CoRR Leila Mahmoodi, Peyman Moghadam, Munawar Hayat, Christian Simon, Mehrtash Harandi
2025	J	`jnl`	Flashbacks to harmonize stability and plasticity in continual learning. Neural Networks Leila Mahmoodi, Peyman Moghadam, Munawar Hayat, Christian Simon, Mehrtash Harandi
2025	J	`jnl`	Geometry-aware Distance Measure for Diverse Hierarchical Structures in Hyperbolic Spaces. CoRR Pengxiang Li, Yuwei Wu, Zhi Gao, Xiaomeng Fan, Wei Wu, Zhipeng Lu, Yunde Jia, Mehrtash Harandi
2025	J	`jnl`	HAC++: Towards 100X Compression of 3D Gaussian Splatting. CoRR Yihang Chen, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai
2025	J	`jnl`	HAC++: Towards 100X Compression of 3D Gaussian Splatting. IEEE Trans. Pattern Anal. Mach. Intell. Yihang Chen, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai
2025	J	`jnl`	HVQ-VAE: Variational auto-encoder with hyperbolic vector quantization. Comput. Vis. Image Underst. Shangyu Chen, Pengfei Fang, Mehrtash Harandi, Trung Le, Jianfei Cai, Dinh Q. Phung
2025	J	`jnl`	Learning from Noisy Labels with Contrastive Co-Transformer. CoRR Yan Han, Soumava Kumar Roy, Mehrtash Harandi, Lars Petersson
2025	J	`jnl`	Massive Activations are the Key to Local Detail Synthesis in Diffusion Transformers. CoRR Chaofan Gan, Zicheng Zhao, Yuanpeng Tu, Xi Chen, Ziran Qin, Tieyuan Chen, Mehrtash Harandi, Weiyao Lin
2025	J	`jnl`	Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds. CoRR Wu Wei, Xiaomeng Fan, Yuwei Wu, Zhi Gao, Pengxiang Li, Yunde Jia, Mehrtash Harandi
2025	J	`jnl`	Optimizing Specific and Shared Parameters for Efficient Parameter Tuning. CoRR Van-Anh Nguyen, Thanh-Toan Do, Mehrtash Harandi, Dinh Q. Phung, Trung Le
2025	J	`jnl`	PCGS: Progressive Compression of 3D Gaussian Splatting. CoRR Yihang Chen, Mengyao Li, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai
2025	A	`conf`	SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution. WACV Mevan Ekanayake, Zhifeng Chen, Gary F. Egan, Mehrtash Harandi, Zhaolin Chen
2025	J	`jnl`	Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations. CoRR Chaofan Gan, Yuanpeng Tu, Xi Chen, Tieyuan Chen, Yuxi Li, Mehrtash Harandi, Weiyao Lin
2025	J	`jnl`	Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise. CoRR Haocheng Luo, Mehrtash Harandi, Dinh Phung, Trung Le
2025	J	`jnl`	Why Domain Generalization Fail? A View of Necessity and Sufficiency. CoRR Long Tung Vuong, Vy Vo, Hien Dang, Van-Anh Nguyen, Thanh-Toan Do, Mehrtash Harandi, Trung Le, Dinh Q. Phung
2024	C	`conf`	A CNN system for segmenting tropical cyclones neighborhoods in geostationary images. IGARSS Joshua May, Mehrtash Harandi, J. Scott Tyo, Liang Hu, Elizabeth A Ritchie-Tyo
2024	J	`jnl`	Automated Segmentation of Tropical Cyclone Clouds in Geostationary Infrared Images. IEEE Geosci. Remote. Sens. Lett. Joshua May, Liang Hu, Elizabeth A. Ritchie, Mehrtash Harandi, J. Scott Tyo
2024	A*	`conf`	Backpropagation-free Network for 3D Test-time Adaptation. CVPR Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi
2024	J	`jnl`	Backpropagation-free Network for 3D Test-time Adaptation. CoRR Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi
2024	—	`conf`	Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning. ECCV (41) Ali Cheraghian, Zeeshan Hayder, Sameera Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi
2024	A*	`conf`	Concealing Sensitive Samples against Gradient Leakage in Federated Learning. AAAI Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi
2024	A	`conf`	Continual Test-time Domain Adaptation via Dynamic Sample Selection. WACV Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi
2024	J	`jnl`	Curved Geometric Networks for Visual Anomaly Recognition. IEEE Trans. Neural Networks Learn. Syst. Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi
2024	J	`jnl`	EraseDiff: Erasing Data Influence in Diffusion Models. CoRR Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi
2024	A*	`conf`	Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization. NeurIPS Haocheng Luo, Tuan Truong, Tung Pham, Mehrtash Harandi, Dinh Q. Phung, Trung Le
2024	A*	`conf`	FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models. NeurIPS Pengxiang Li, Zhi Gao, Bofei Zhang, Tao Yuan, Yuwei Wu, Mehrtash Harandi, Yunde Jia, Song-Chun Zhu, Qing Li
2024	J	`jnl`	FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models. CoRR Pengxiang Li, Zhi Gao, Bofei Zhang, Tao Yuan, Yuwei Wu, Mehrtash Harandi, Yunde Jia, Song-Chun Zhu, Qing Li
2024	J	`jnl`	Fast Feedforward 3D Gaussian Splatting Compression. CoRR Yihang Chen, Qianyi Wu, Mengyao Li, Weiyao Lin, Mehrtash Harandi, Jianfei Cai
2024	J	`jnl`	GOSS: towards generalized open-set semantic segmentation. Vis. Comput. Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2024	—	`conf`	HAC: Hash-Grid Assisted Context for 3D Gaussian Splatting Compression. ECCV (7) Yihang Chen, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai
2024	J	`jnl`	HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression. CoRR Yihang Chen, Qianyi Wu, Jianfei Cai, Mehrtash Harandi, Weiyao Lin
2024	J	`jnl`	How Far Can We Compress Instant-NGP-Based NeRF? CoRR Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai
2024	A*	`conf`	How Far can we Compress Instant-NGP-Based NeRF? CVPR Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai
2024	—	`conf`	Improving Deep Learning MRI Reconstruction with Contrastive Learning Pretraining. ISBI Mevan Ekanayake, Zhifeng Chen, Mehrtash Harandi, Gary F. Egan, Zhaolin Chen
2024	A*	`conf`	LaViP: Language-Grounded Visual Prompting. AAAI Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi
2024	J	`jnl`	Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation. CoRR Minh-Tuan Tran, Trung Le, Xuan-May Le, Jianfei Cai, Mehrtash Harandi, Dinh Q. Phung
2024	J	`jnl`	MUNBa: Machine Unlearning via Nash Bargaining. CoRR Jing Wu, Mehrtash Harandi
2024	J	`jnl`	McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction. Comput. Biol. Medicine Mevan Ekanayake, Kamlesh Pawar, Mehrtash Harandi, Gary F. Egan, Zhaolin Chen
2024	A*	`conf`	NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation. CVPR Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung
2024	J	`jnl`	Publisher Correction: GOSS: towards generalized open-set semantic segmentation. Vis. Comput. Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2024	—	`conf`	Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks. ECCV (47) Jing Wu, Mehrtash Harandi
2024	J	`jnl`	Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks. CoRR Jing Wu, Mehrtash Harandi
2024	J	`jnl`	SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution. CoRR Mevan Ekanayake, Zhifeng Chen, Gary F. Egan, Mehrtash Harandi, Zhaolin Chen
2024	J	`jnl`	Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming. Int. J. Comput. Integr. Manuf. Milad Ramezankhani, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
2024	A*	`conf`	Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning. CVPR Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung
2024	J	`jnl`	Text-Enhanced Data-free Approach for Federated Class-Incremental Learning. CoRR Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung
2023	J	`jnl`	CL3: Generalization of Contrastive Loss for Lifelong Learning. J. Imaging Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
2023	B	`conf`	Can we Distill Knowledge from Powerful Teachers Directly? ICIP Chengyao Qian, Munawar Hayat, Mehrtash Harandi
2023	J	`jnl`	Continual Test-time Domain Adaptation via Dynamic Sample Selection. CoRR Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi
2023	J	`jnl`	Contrastive Learning MRI Reconstruction. CoRR Mevan Ekanayake, Zhifeng Chen, Gary F. Egan, Mehrtash Harandi, Zhaolin Chen
2023	J	`jnl`	Curvature-Adaptive Meta-Learning for Fast Adaptation to Manifold Data. IEEE Trans. Pattern Anal. Mach. Intell. Zhi Gao, Yuwei Wu, Mehrtash Harandi, Yunde Jia
2023	—	`conf`	Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation. ICCV (Workshops) Jieming Zhou, Tong Zhang, Zeeshan Hayder, Lars Petersson, Mehrtash Harandi
2023	J	`jnl`	Domain Neural Adaptation. IEEE Trans. Neural Networks Learn. Syst. Sentao Chen, Zijie Hong, Mehrtash Harandi, Xiaowei Yang
2023	—	`conf`	EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos. MICCAI (9) Ruyi Zha, Xuelian Cheng, Hongdong Li, Mehrtash Harandi, Zongyuan Ge
2023	J	`jnl`	EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos. CoRR Ruyi Zha, Xuelian Cheng, Hongdong Li, Mehrtash Harandi, Zongyuan Ge
2023	A*	`conf`	Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation. ICCV Samitha Herath, Basura Fernando, Ehsan Abbasnejad, Munawar Hayat, Shahram Khadivi, Mehrtash Harandi, Hamid Rezatofighi, Gholamreza Haffari
2023	A*	`conf`	Exploring Data Geometry for Continual Learning. CVPR Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu
2023	J	`jnl`	Exploring Data Geometry for Continual Learning. CoRR Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu
2023	Misc	`conf`	Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. DICTA Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi
2023	—	`conf`	Flashback for Continual Learning. ICCV (Workshops) Leila Mahmoodi, Mehrtash Harandi, Peyman Moghadam
2023	J	`jnl`	Guest Editorial : Learning with Manifolds in Computer Vision. Image Vis. Comput. Mohamed Daoudi, Mehrtash Harandi, Vittorio Murino
2023	A*	`conf`	Hyperbolic Audio-visual Zero-shot Learning. ICCV Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2023	J	`jnl`	Hyperbolic Audio-visual Zero-shot Learning. CoRR Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2023	J	`jnl`	Hyperbolic Geometry in Computer Vision: A Survey. CoRR Pengfei Fang, Mehrtash Harandi, Trung Le, Dinh Q. Phung
2023	—	`conf`	L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space. MICCAI (2) Kaushik Roy, Peyman Moghadam, Mehrtash Harandi
2023	J	`jnl`	L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space. CoRR Kaushik Roy, Peyman Moghadam, Mehrtash Harandi
2023	A	`conf`	LAVA:Label-efficient Visual Learning and Adaptation. WACV Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari
2023	J	`jnl`	LaViP: Language-Grounded Visual Prompts. CoRR Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi
2023	J	`jnl`	Learning to Optimize on Riemannian Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. Zhi Gao, Yuwei Wu, Xiaomeng Fan, Mehrtash Harandi, Yunde Jia
2023	J	`jnl`	Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-Label Proxy Metric Learning. IEEE Access Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi, Tom Drummond, Zongyuan Ge
2023	J	`jnl`	Poincaré Kernels for Hyperbolic Representations. Int. J. Comput. Vis. Pengfei Fang, Mehrtash Harandi, Zhenzhong Lan, Lars Petersson
2023	J	`jnl`	RMAML: Riemannian meta-learning with orthogonality constraints. Pattern Recognit. Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi
2023	J	`jnl`	RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization. CoRR Tuan Truong, Hoang-Phi Nguyen, Tung Pham, Minh-Tuan Tran, Mehrtash Harandi, Dinh Phung, Trung Le
2023	J	`jnl`	Real-time Neonatal Chest Sound Separation using Deep Learning. CoRR Yang Yi Poh, Ethan Grooby, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Mehrtash Harandi, Faezeh Marzbanrad
2023	J	`jnl`	Subspace Distillation for Continual Learning. CoRR Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
2023	J	`jnl`	Subspace distillation for continual learning. Neural Networks Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
2023	J	`jnl`	Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation. Nat. Mac. Intell. Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi
2023	J	`jnl`	Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation. CoRR Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung
2023	A*	`conf`	Vector Quantized Wasserstein Auto-Encoder. ICML Long Tung Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Q. Phung
2023	J	`jnl`	Vector Quantized Wasserstein Auto-Encoder. CoRR Tung-Long Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Q. Phung
2022	—	`conf`	A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. ICPS Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
2022	J	`jnl`	A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. CoRR Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
2022	—	`conf`	A Differentiable Distance Approximation for Fairer Image Classification. ACCV (6) Nicholas Rosa, Tom Drummond, Mehrtash Harandi
2022	J	`jnl`	A Differentiable Distance Approximation for Fairer Image Classification. CoRR Nicholas Rosa, Tom Drummond, Mehrtash Harandi
2022	—	`conf`	A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation. MICCAI (5) Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi
2022	A*	`conf`	Adaptive Poincaré Point to Set Distance for Few-Shot Classification. AAAI Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi
2022	J	`jnl`	Attention in Attention Networks for Person Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Pan Ji, Lars Petersson, Mehrtash Harandi
2022	J	`jnl`	Curved Geometric Networks for Visual Anomaly Recognition. CoRR Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi
2022	—	`conf`	Deep Laparoscopic Stereo Matching with Transformers. MICCAI (8) Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge
2022	J	`jnl`	Deep Laparoscopic Stereo Matching with Transformers. CoRR Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge
2022	J	`jnl`	Defense against Privacy Leakage in Federated Learning. CoRR Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi
2022	A*	`conf`	Efficient Riemannian Meta-Optimization by Implicit Differentiation. AAAI Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, Mehrtash Harandi
2022	J	`jnl`	GOSS: Towards Generalized Open-set Semantic Segmentation. CoRR Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2022	—	`conf`	Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation. BrainLes@MICCAI (2) Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi
2022	J	`jnl`	Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation. CoRR Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi
2022	A*	`conf`	Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds. NeurIPS Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi
2022	A*	`conf`	Implicit Motion Handling for Video Camouflaged Object Detection. CVPR Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge
2022	J	`jnl`	Implicit Motion Handling for Video Camouflaged Object Detection. CoRR Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge
2022	J	`jnl`	LAVA: Label-efficient Visual Learning and Adaptation. CoRR Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari
2022	J	`jnl`	Learning Deep Optimal Embeddings with Sinkhorn Divergences. CoRR Soumava Kumar Roy, Yan Han, Mehrtash Harandi, Lars Petersson
2022	—	`conf`	Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning. ECCV (20) Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond, Mehrtash Harandi
2022	J	`jnl`	Learning Log-Determinant Divergences for Positive Definite Matrices. IEEE Trans. Pattern Anal. Mach. Intell. Anoop Cherian, Panagiotis Stanitsas, Jue Wang, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos
2022	A	`conf`	Meta-Learning for Multi-Label Few-Shot Classification. WACV Christian Simon, Piotr Koniusz, Mehrtash Harandi
2022	J	`jnl`	Multi-head Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction. CoRR Mevan Ekanayake, Kamlesh Pawar, Mehrtash Harandi, Gary F. Egan, Zhaolin Chen
2022	J	`jnl`	Multimorbidity Content-Based Medical Image Retrieval Using Proxies. CoRR Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi, Tom Drummond, Zongyuan Ge
2022	A*	`conf`	On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation. NeurIPS Markus Hiller, Mehrtash Harandi, Tom Drummond
2022	J	`jnl`	On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation. CoRR Markus Hiller, Mehrtash Harandi, Tom Drummond
2022	A*	`conf`	On Generalizing Beyond Domains in Cross-Domain Continual Learning. CVPR Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker
2022	J	`jnl`	On Generalizing Beyond Domains in Cross-Domain Continual Learning. CoRR Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker
2022	J	`jnl`	PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis. CoRR Jie Hong, Shi Qiu, Weihao Li, Saeed Anwar, Mehrtash Harandi, Nick Barnes, Lars Petersson
2022	J	`jnl`	Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. CoRR Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi
2022	A*	`conf`	Rethinking Generalization in Few-Shot Classification. NeurIPS Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond
2022	J	`jnl`	Rethinking Generalization in Few-Shot Classification. CoRR Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond
2022	A	`conf`	Towards a Robust Differentiable Architecture Search under Label Noise. WACV Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
2021	J	`jnl`	A Volumetric Transformer for Accurate 3D Tumor Segmentation. CoRR Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi
2021	J	`jnl`	Adaptive Poincaré Point to Set Distance for Few-Shot Classification. CoRR Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi
2021	A*	`conf`	Curvature Generation in Curved Spaces for Few-Shot Learning. ICCV Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi
2021	J	`jnl`	Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model. CoRR Jing Zhang, Yuchao Dai, Mehrtash Harandi, Yiran Zhong, Nick Barnes, Richard Hartley
2021	J	`jnl`	Dense Uncertainty Estimation. CoRR Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes
2021	J	`jnl`	Discrepant collaborative training by Sinkhorn divergences. Image Vis. Comput. Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
2021	J	`jnl`	Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation. CoRR Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi
2021	—	`conf`	Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation. MICCAI (2) Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi
2021	J	`jnl`	Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. CoRR Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi
2021	J	`jnl`	Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation. CoRR Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, Zongyuan Ge
2021	A*	`conf`	Kernel Methods in Hyperbolic Spaces. ICCV Pengfei Fang, Mehrtash Harandi, Lars Petersson
2021	J	`jnl`	Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning. CoRR Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tom Drummond, Mehrtash Harandi
2021	J	`jnl`	Learning Log-Determinant Divergences for Positive Definite Matrices. CoRR Anoop Cherian, Panagiotis Stanitsas, Jue Wang, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos
2021	B	`conf`	Learning Online for Unified Segmentation and Tracking Models. IJCNN Tianyu Zhu, Mehrtash Harandi, Rongkai Ma, Tom Drummond
2021	J	`jnl`	Learning Online for Unified Segmentation and Tracking Models. CoRR Tianyu Zhu, Rongkai Ma, Mehrtash Harandi, Tom Drummond
2021	J	`jnl`	Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Jing Zhang, Yuchao Dai, Tong Zhang, Mehrtash Harandi, Nick Barnes, Richard Hartley
2021	A*	`conf`	Learning a Gradient-free Riemannian Optimizer on Tangent Spaces. AAAI Xiaomeng Fan, Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi
2021	—	`conf`	Learning to Continually Learn Rapidly from Few and Noisy Data. MetaDL@AAAI Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
2021	J	`jnl`	Learning to Continually Learn Rapidly from Few and Noisy Data. CoRR Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
2021	J	`jnl`	Meta-Learning for Multi-Label Few-Shot Classification. CoRR Christian Simon, Piotr Koniusz, Mehrtash Harandi
2021	A*	`conf`	On Learning the Geodesic Path for Incremental Learning. CVPR Christian Simon, Piotr Koniusz, Mehrtash Harandi
2021	J	`jnl`	On Learning the Geodesic Path for Incremental Learning. CoRR Christian Simon, Piotr Koniusz, Mehrtash Harandi
2021	J	`jnl`	Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions. CoRR Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li
2021	—	`conf`	Plastic and Stable Gated Classifiers for Continual Learning. CVPR Workshops Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
2021	—	`conf`	Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. BrainLes@MICCAI (1) Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi
2021	A*	`conf`	Reinforced Attention for Few-Shot Learning and Beyond. CVPR Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson
2021	J	`jnl`	Reinforced Attention for Few-Shot Learning and Beyond. CoRR Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson
2021	A*	`conf`	Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CVPR Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
2021	J	`jnl`	Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CoRR Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
2021	J	`jnl`	Semi-Supervised Domain Adaptation via Asymmetric Joint Distribution Matching. IEEE Trans. Neural Networks Learn. Syst. Sentao Chen, Mehrtash Harandi, Xiaona Jin, Xiaowei Yang
2021	A*	`conf`	Semi-Supervised Metric Learning: A Deep Resurrection. AAAI Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar
2021	J	`jnl`	Semi-Supervised Metric Learning: A Deep Resurrection. CoRR Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar
2021	A	`conf`	Set Augmented Triplet Loss for Video Person Re-Identification. WACV Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi
2021	A*	`conf`	Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces. ICCV Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Pengfei Fang, Christian Simon, Lars Petersson, Mehrtash Harandi
2021	J	`jnl`	Towards a Robust Differentiable Architecture Search under Label Noise. CoRR Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
2020	J	`jnl`	A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold. IEEE Trans. Neural Networks Learn. Syst. Zhi Gao, Yuwei Wu, Mehrtash Harandi, Yunde Jia
2020	A*	`conf`	Adaptive Subspaces for Few-Shot Learning. CVPR Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi
2020	J	`jnl`	Affinity guided Geometric Semi-Supervised Metric Learning. CoRR Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar
2020	B	`conf`	An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. IJCNN Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
2020	J	`jnl`	Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation. CoRR Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, C. Paul Bonnington, Tom Drummond, Zongyuan Ge
2020	—	`conf`	Channel Recurrent Attention Networks for Video Pedestrian Retrieval. ACCV (6) Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi
2020	J	`jnl`	Channel Recurrent Attention Networks for Video Pedestrian Retrieval. CoRR Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi
2020	J	`jnl`	Cross-Correlated Attention Networks for Person Re-Identification. CoRR Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2020	J	`jnl`	Cross-Correlated Attention Networks for Person Re-Identification. Image Vis. Comput. Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2020	A	`conf`	Devon: Deformable Volume Network for Learning Optical Flow. WACV Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr
2020	J	`jnl`	Domain Adaptation by Joint Distribution Invariant Projections. IEEE Trans. Image Process. Sentao Chen, Mehrtash Harandi, Xiaona Jin, Xiaowei Yang
2020	A*	`conf`	Hierarchical Neural Architecture Search for Deep Stereo Matching. NeurIPS Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, Zongyuan Ge
2020	J	`jnl`	Hierarchical Neural Architecture Search for Deep Stereo Matching. CoRR Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Tom Drummond, Hongdong Li, Zongyuan Ge
2020	A	`conf`	Learning from Noisy Labels via Discrepant Collaborative Training. WACV Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
2020	A*	`conf`	Learning to Optimize on SPD Manifolds. CVPR Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi
2020	—	`conf`	M CVPR Workshops Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
2020	J	`jnl`	MTL2L: A Context Aware Neural Optimiser. CoRR Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
2020	—	`conf`	On Modulating the Gradient for Meta-learning. ECCV (8) Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi
2020	A*	`conf`	Revisiting Bilinear Pooling: A Coding Perspective. AAAI Zhi Gao, Yuwei Wu, Xiaoxun Zhang, Jindou Dai, Yunde Jia, Mehrtash Harandi
2020	J	`jnl`	Set Augmented Triplet Loss for Video Person Re-Identification. CoRR Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi
2020	J	`jnl`	Uncertainty-Aware Deep Calibrated Salient Object Detection. CoRR Jing Zhang, Yuchao Dai, Xin Yu, Mehrtash Harandi, Nick Barnes, Richard I. Hartley
2020	J	`jnl`	Unsupervised Deep Metric Learning via Orthogonality Based Probabilistic Loss. IEEE Trans. Artif. Intell. Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar
2020	J	`jnl`	Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss. CoRR Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar
2020	A*	`conf`	Unsupervised Metric Learning with Synthetic Examples. AAAI Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar
2019	J	`jnl`	A Probabilistic approach for Learning Embeddings without Supervision. CoRR Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar
2019	A*	`conf`	Bilinear Attention Networks for Person Retrieval. ICCV Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
2019	A*	`conf`	Min-Max Statistical Alignment for Transfer Learning. CVPR Samitha Herath, Mehrtash Harandi, Basura Fernando, Richard Nock
2019	A*	`conf`	Neural Collaborative Subspace Clustering. ICML Tong Zhang, Pan Ji, Mehrtash Harandi, Wen-bing Huang, Hongdong Li
2019	J	`jnl`	Neural Collaborative Subspace Clustering. CoRR Tong Zhang, Pan Ji, Mehrtash Harandi, Wen-bing Huang, Hongdong Li
2019	A*	`conf`	Siamese Networks: The Tale of Two Manifolds. ICCV Soumava Kumar Roy, Mehrtash Harandi, Richard Nock, Richard I. Hartley
2019	J	`jnl`	Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks. IEEE Trans. Image Process. Wen-bing Huang, Lijie Fan, Mehrtash Harandi, Lin Ma, Huaping Liu, Wei Liu, Chuang Gan
2019	J	`jnl`	Using temporal information for recognizing actions from still images. Pattern Recognit. Samitha Herath, Basura Fernando, Mehrtash Harandi
2018	J	`jnl`	Block Mean Approximation for Efficient Second Order Optimization. CoRR Yao Lu, Mehrtash Harandi, Richard I. Hartley, Razvan Pascanu
2018	A*	`conf`	Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective. CVPR Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley
2018	J	`jnl`	Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective. CoRR Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley
2018	—	`conf`	Devon: Deformable Volume Network for Learning Optical Flow. ECCV Workshops (6) Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr
2018	J	`jnl`	Devon: Deformable Volume Network for Learning Optical Flow. CoRR Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr
2018	A*	`conf`	Geometry Aware Constrained Optimization Techniques for Deep Learning. CVPR Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi
2018	—	`conf`	Scalable Deep k-Subspace Clustering. ACCV (5) Tong Zhang, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Ian D. Reid
2018	J	`jnl`	Scalable Deep k-Subspace Clustering. CoRR Tong Zhang, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Ian D. Reid
2017	Misc	`conf`	Constrained Stochastic Gradient Descent: The Good Practice. DICTA Soumava Kumar Roy, Mehrtash Harandi
2017	—	`conf`	Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding. NIPS Wen-bing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun, Junzhou Huang
2017	A*	`conf`	Generalized Rank Pooling for Activity Recognition. CVPR Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould
2017	J	`jnl`	Generalized Rank Pooling for Activity Recognition. CoRR Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould
2017	J	`jnl`	Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version). CoRR Anoop Cherian, Panagiotis Stanitsas, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos
2017	A*	`conf`	Learning Discriminative αβ-Divergences for Positive Definite Matrices. ICCV Anoop Cherian, Panagiotis Stanitsas, Mehrtash Harandi, Vassilios Morellas, Nikos Papanikolopoulos
2016	J	`jnl`	Analyzing Linear Dynamical Systems: From Modeling to Coding and Learning. CoRR Wen-bing Huang, Fuchun Sun, Le-le Cao, Mehrtash Harandi
2016	J	`jnl`	Executable thematic special issue on pattern recognition techniques for indirect immunofluorescence images analysis. Pattern Recognit. Lett. Mehrtash Harandi, Brian C. Lovell, Gennaro Percannella, Alessia Saggese, Mario Vento, Arnold Wiliem
2016	J	`jnl`	Generalized BackPropagation, Étude De Cas: Orthogonality. CoRR Mehrtash Harandi, Basura Fernando
2016	A*	`conf`	Sparse Coding and Dictionary Learning with Linear Dynamical Systems. CVPR Wen-bing Huang, Fuchun Sun, Le-le Cao, Deli Zhao, Huaping Liu, Mehrtash Harandi
2015	A*	`conf`	Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications. AAAI Shengping Zhang, Shiva Prasad Kasiviswanathan, Pong C. Yuen, Mehrtash Harandi