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Mehrtash Harandi

Monash University, Clayton, VIC, Australia

23 papers at tracked venues · 18 at CORE A* · active 2024–2026

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Venues

NeurIPS ×6CVPR ×5AAAI ×4ECCV ×3ICCV ×2WACV ×2ICLR ×1

Frequent coauthors

Yihang Chen
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Jing Wu
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Nilakshan Kunananthaseelan
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Haocheng Luo
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Minh-Tuan Tran
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Zeeshan Hayder
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Chengyao Qian
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Van-Anh Nguyen
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Mevan Ekanayake
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Tue Le
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Chaofan Gan
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Yanshuo Wang
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Papers

  1. DIET: Machine Unlearning on a Data-Diet
    AAAI 2026 ·
    Nilakshan Kunananthaseelan
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  2. PCGS: Progressive Compression of 3D Gaussian Splatting
    AAAI 2026 ·
    Yihang Chen
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  3. Subspace-Guided Knowledge Distillation for Efficient Model Transfer
    WACV 2026 ·
    Zeeshan Hayder
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  4. A Good Teacher Adapts Their Knowledge for Distillation
    ICCV 2025 ·
    Chengyao Qian
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  5. Erasing Undesirable Influence in Diffusion Models
    CVPR 2025 ·
    Jing Wu
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  6. Fast Feedforward 3D Gaussian Splatting Compression
    ICLR 2025 ·
    Yihang Chen
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  7. Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
    NeurIPS 2025 ·
    Van-Anh Nguyen
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  8. MUNBa: Machine Unlearning Via Nash Bargaining
    ICCV 2025 ·
    Jing Wu
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  9. SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution
    WACV 2025 ·
    Mevan Ekanayake
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  10. Token-Level Self-Play with Importance-Aware Guidance for Large Language Models
    NeurIPS 2025 ·
    Tue Le
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  11. Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations
    NeurIPS 2025 ·
    Chaofan Gan
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  12. Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise
    NeurIPS 2025 ·
    Haocheng Luo
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  13. Backpropagation-free Network for 3D Test-time Adaptation
    CVPR 2024 ·
    Yanshuo Wang
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  14. Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning
    ECCV 2024 ·
    Ali Cheraghian
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  15. Concealing Sensitive Samples against Gradient Leakage in Federated Learning
    AAAI 2024 ·
    Jing Wu
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  16. Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
    NeurIPS 2024 ·
    Haocheng Luo
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  17. FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models
    NeurIPS 2024 ·
    Pengxiang Li
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  18. HAC: Hash-Grid Assisted Context for 3D Gaussian Splatting Compression
    ECCV 2024 ·
    Yihang Chen
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  19. How Far can we Compress Instant-NGP-Based NeRF?
    CVPR 2024 ·
    Yihang Chen
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  20. LaViP: Language-Grounded Visual Prompting
    AAAI 2024 ·
    Nilakshan Kunananthaseelan
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  21. NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
    CVPR 2024 ·
    Minh-Tuan Tran
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  22. Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks
    ECCV 2024 ·
    Jing Wu
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  23. Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning
    CVPR 2024 ·
    Minh-Tuan Tran
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