SA

Salman Asif

Also known as: Muhammad Salman Asif

University of California Riverside, Rice University, Georgia Institute of Technology, University of Engineering and Technology, Samsung Research America

ORCID iD 0000-0001-5993-3903

Employment

  • University of California Riverside Assistant Professor
    2016 - Present
  • Rice University Postdoctoral research associate
    2014 - 2016
  • Samsung Research America Senior Research Engineer
    2012 - 2014

Education

  • Georgia Institute of Technology M.Sc.
    2006 - 2008
  • University of Engineering and Technology B.Sc.
    2000 - 2004

Projects & Funding

Projects & funding information is unavailable.

Publications (336)

  • Covariance-Corrected Diffusion Models for Solving Inverse Problems
    2025 IEEE Statistical Signal Processing Workshop (SSP) 2025
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  • Gaussian is all you need: A unified framework for solving inverse problems via diffusion posterior sampling
    IEEE Transactions on Computational Imaging 2025
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  • Reno: Real-time neural compression for 3d lidar point clouds
    Proceedings of the Computer Vision and Pattern Recognition Conference 2025
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  • Robust Multimodal Learning via Cross-Modal Proxy Tokens
    arXiv preprint arXiv:2501.17823 2025
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  • STRIDE: Single-Video Based Temporally Continuous Occlusion-Robust 3D Pose Estimation
    2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025
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  • Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models
    arXiv preprint arXiv:2505.11482 2025
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  • VOccl3D: A Video Benchmark Dataset for 3D Human Pose and Shape Estimation under real Occlusions
    arXiv preprint arXiv:2508.06757 2025
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  • Can Textual Unlearning Solve Cross-Modality Safety Alignment?
    Findings of the Association for Computational Linguistics: EMNLP 2024 2024
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  • Continual Learning in Convolutional Neural Networks with Tensor Rank Updates
    2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM) 2024
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  • Cross-modal safety alignment: Is textual unlearning all you need?
    arXiv preprint arXiv:2406.02575 2024
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