Salman Asif

Google Scholar proflie page should have an up-to-date list of papers.

Preprints

• Gaussian is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling
  Nebiyou Yismaw, Ulugbek S Kamilov, M. Salman Asif. submitted

• MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection
  Niki Nezakati, Md Kaykobad Reza, Ameya Patil, Mashhour Solh, M. Salman Asif. submitted

• Unlearning Targeted Information via Single Layer Unlearning Gradient
  Zikui Cai, Yaoteng Tan, M Salman Asif. submitted
  Code available at https:github.com/CSIPlab/SLUG

• Transformation-Dependent Adversarial Attacks
  Yaoteng Tan, Zikui Cai, M Salman Asif. submitted

• Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
  Yash Garg, Nebiyou Yismaw, Rakib Hyder, Ashley Prater-Bennette, M. Salman Asif. submitted

2024

• Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation
  Md Kaykobad Reza, Ashley Prater-Bennette, M. Salman Asif. accepted IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024.

• Cross-Modal Safety Alignment: Is textual unlearning all you need?
  Trishna Chakraborty, Erfan Shayegani, Zikui Cai, Nael Abu-Ghazaleh, M. Salman Asif, Yue Dong, Amit K. Roy-Chowdhury, Chengyu Song. accepted EMNLP Findings 2024.

• EDformer: Transformer-Based Event Denoising Across Varied Noise Levels
  Bin Jiang, Bo Xiong, Bohan Qu, M. Salman Asif, You Zhou, and Zhan Ma. European Conference on Computer Vision (ECCV), 2024.

• DoDo: Double DOE Optical System for Multishot Spectral Imaging
  Sergio Urrea, Roman Jacome, M. Salman Asif, Henry Arguello, Hans Garcia. IEEE Journal of Selected Topics in Signal Processing, 2024.

• Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
  Shirin Shoushtari, Jiaming Liu, Edward P. Chandler, M. Salman Asif, Ulugbek S. Kamilov. International Conference on Machine Learning (ICML), July 2024

• PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos
  Qi Zhao, M. Salman Asif, and Zhan Ma. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024.

• Multimodal Transformer for Material Segmentation
  Md Kaykobad Reza, Ashley Prater-Bennette, M. Salman Asif. IEEE Open Journal of Signal Processing, 2024.

• Domain Expansion via Network Adaptation for Solving Inverse Problems
  Nebiyou Yismaw, Ulugbek S. Kamilov, M. Salman Asif. accepted to IEEE Transactions on Computational Imaging, 2024.
  

• Efficient Visual Computing with Camera RAW Snapshots
  Zhihao Li, Ming Lu, Xu Zhang, Xin Feng, M. Salman Asif, and Zhan Ma. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024.

• Disguise without Disruption: Utility-Preserving Face De-Identification
  Zikui Cai, Zhongpai Gao, Benjamin Planche, Meng Zheng, Terrence Chen, M. Salman Asif, and Ziyan Wu. AAAI Conference on Artifiicial Intelligence, February 2024.

• Parameter-Efficient Adaptation For Computational Imaging
  Nebiyou Yismaw, Ulugbek Kamilov, and M. Salman Asif. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), April 2024.

• Token-based Spatiotemporal Representation Of The Events
  Bin Jiang, Zhihao Li, M. Salman Asif, Xun Cao, and Zhan Ma, IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), April 2024.

• Continual Learning in Convolutional Neural Networks with Tensor Rank Updates
  Matt Krol, Rakib Hyder, Michael Peechatt, Ashley Prater-Bennette, M Salman Asif, Panos P Markopoulos. IEEE 13th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2024

2023

• Ensemble-based Blackbox Attacks on Dense Prediction
  Zikui Cai, Yaoteng Tan, and M. Salman Asif. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023.
  Code available at https:github.com/CSIPlab/EBAD

• DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos
  Qi Zhao, M. Salman Asif, and Zhan Ma. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023.

• Machine Learning Enhanced Optical Microscopy for the Rapid Morphology Characterization of Silver Nanoparticles
  Yaodong Xu, Da Xu, Ning Yu, Boqun Liang, Zhaoxi Yang, M. Salman Asif, Ruoxue Yan, and Ming Liu. ACS Applied Materials & Interfaces, 15 (14), 18244-18251, 2023.

• Coded Illumination for Improved Lensless Imaging
  Yucheng Zheng and M. Salman Asif. IEEE Transactions on Computational Imaging, 2023.
  Code available at https:github.com/CSIPlab/codedcam

• Spatial and Axial Resolution Limits for Mask-based Lensless Cameras
  Yi Hua, M. Salman Asif, and Aswin Sankaranarayanan. Optics Express, vol. 31, pp. 2538–2551, 2023.

• GCNDepth: Self-supervised monocular depth estimation based on graph convolutional network
  Armin Masoumian, Hatem Rashwan, Saddam Abdulwahab, Julian Cristiano, M. Salman Asif, and Domenec Puig. Neurocomputing, vol 517, pp. 81–92, 2023.

• Overcoming Distribution Shifts in Plug-and-Play Methods with Test- Time Training
  Edward Chandler, Shirin Shoushtari, Jiaming Liu, M. Salman Asif, and Ulugbek S. Kamilov. EEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), December 2023

• Compressive Sensing with Tensorized Autoencoder
  Rakib Hyder and M. Salman Asif. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), June 2023.

• Privacy Preserving Face Recognition with Lensless Camera
  Chris Henry, M. Salman Asif, and Zhu Li. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), June 2023.

• Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks
  Abhishek Aich, Shasha Li, Chengyu Song, M. Salman Asif, Srikanth V. Krishnamurthy, and Amit K. Roy-Chowdhury. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2023.

2022

• Blackbox Attacks via Surrogate Ensemble Search
  Zikui Cai, Chengyu Song, Srikanth Krishnamurthy, Amit Roy-Chowdhury, and M. Salman Asif. Conference on Neural Information Processing Systems (NeurIPS), December 2022.

• GAMA: Generative Adversarial Multi-Object Scene Attacks
  Abhishek Aich, Calvin Khang-Ta, Akash Gupta, Chengyu Song, Srikanth V. Krishnamurthy, M. Salman Asif, and Amit K. Roy-Chowdhury. Conference on Neural Information Processing Systems (NeurIPS), December 2022.

• Incremental Task Learning with Incremental Rank Updates
  Rakib Hyder, Ken Shao, Boyu Hou, Panagiotis Markopoulos, Ashley Prater-Bennette, and M. Salman Asif. European Conference on Computer Vision (ECCV), October 2022.
  Code available at https://github.com/CSIPlab/task-increment-rank-update.git

• Coded Illumination for 3D Lensless Imaging
  Yucheng Zheng and M. Salman Asif. IEEE Open Journal of Signal Processing, vol. 3, pp. 432–439, 2022.

• Optimization Algorithms for MR Reconstruction
  Jiamming Liu, Rakib Hyder, M. Salman Asif, and Ulugbek Kamilov. in Magnetic Resonance Image Reconstruction Theory, Methods, and Applications, vol. 7, pp. 59-72, 2022. Editors M. Akcakaya, M. Doneva, and C. Prieto.

• Learning to Sense for Coded Diffraction Imaging
  Rakib Hyder, Zikui Cai, and M. Salman Asif. Sensors 22(24), 9964; 2022.

• Monocular Depth Estimation Using Deep Learning: A Review
  Armin Masoumian, Hatem Rashwan, Julian Cristiano, M. Salman Asif, and Domenec Puig. Sensors, 22(14), 5353; 2022.

• H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System
  Ming Cheng, Yiling Xu, Wang Shen, M. Salman Asif, Chao Ma, Jun Sun, and Zhan Ma. IEEE Transactions on Broadcasting, 68 (4), pp. 886–903, 2022.

• Low-Light Color Imaging Via Cross-Camera Synthesis
  Peiyao Guo, M. Salman Asif, and Zhan Ma. IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2022.

• Physics-Guided Neural-Network-Based Inverse Design of a Photonic-Plasmonic Nanodevice for Superfocusing
  Boqun Liang, Da Xu, Ning Yu, Yaodong Xu, Xuezhi Ma, Qiushi Liu, M. Salman Asif, Ruoxue Yan, and Ming Liu. ACS Applied Materials & Interfaces, 14 (23), 27397-27404, 2022.

• Zero-Query Transfer Attacks on Context-Aware Object Detectors
  Zikui Cai, Shantanu Rane, Alejandro Brito, Srikanth Krishnamurthy, Chengyu Song, Amit Roy-Chowdhury, and M. Salman Asif. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.

• Context-Aware Transfer Attacks for Object Detection
  Zikui Cai, Xinxin Xie, Shasha Li, Mingjun Yin, Chengyu Song, Srikanth Krishnamurthy, Amit Roy-Chowdhury, and M. Salman Asif. AAAI Conference on Artifiicial Intelligence, February 2022.
  Code available at https://github.com/CSIPlab/context-aware-attacks.

• Spatial Temporal Video Enhancement Using Alternating Exposures
  Wang Shen, Ming Cheng, Guo Lu, Guangtao Zhai, Li Chen, M Salman Asif, and Zhiyong Gao. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 32, no. 8, pp. 4912-4926, 2022.

• Sparse Tracking State Estimation for Low-ObservablePower Distribution Systems Using D-PMUs
  Alireza Akrami, M. Salman Asif, and Hamed Mohsenian-Rad. IEEE Trans. on Power Systems, 37 (1), pp. 551-564, 2022.

• ADC: Adversarial attacks against object Detection that evade Context consistency checks
  Mingjun Yin, Shasha Li, Chengyu Song, M. Salman Asif, Amit K Roy-Chowdhury, and Srikanth Krishnamurthy. Winter Conference on Applications of Computer Vision (WACV), January 2022.

• Provable and Efficient Continual Representation Learning
  Yingcong Li, Mingchen Li, M. Salman Asif, and Samet Oymak. Preprint 2022.

2021

• Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition
  Jiaming Liu, M. Salman Asif, Brendt Wohlberg, and Ulugbek Kamilov. Conference on Neural Information Processing Systems (NeurIPS), December 2021.

• Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
  Shasha Li, Abhishek Aich, Shitong Zhu, M. Salman Asif, Chengyu Song, Amit Roy-Chowdhury, and Srikanth Krishnamurthy. Conference on Neural Information Processing Systems (NeurIPS), December 2021.

• A Simple Framework for 3D Lensless Imaging with Programmable Masks
  Yucheng Zheng, Yi Hua, Aswin C. Sankaranarayanan, and M. Salman Asif. International Conference on Computer Vision (ICCV), October 2021.
  Code available at https://github.com/CSIPlab/Programmable3Dcam

• Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes
  Mingjun Yin, Shasha Li, Zikui Cai, Chengyu Song, M. Salman Asif, Amit Roy-Chowdhury, and Srikanth Krishnamurthy. International Conference on Computer Vision (ICCV), October 2021.

• A Dual Camera System for High Spatiotemporal Resolution Video Acquisition
  Ming Cheng, Zhan Ma, M. Salman Asif, Yiling Xu, Haojie Liu, Wenbo Bao, and Jun Sun. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 43 (10), pp. 3275-3291, 2021.

• Toward simple, generalizable neural networks with universal training for low-SWaP hybrid vision
  Baurzhan Muminov, Altai Perry, Rakib Hyder, M. Salman Asif, and Luat Vuong. Photonics Research, 9 (7), pp. B253-B261, 2021.

• Convolutional Auto-Encoder with Tensor-Train Factorization
  Manish Sharma, Panos Markopoulos, Eli Saber, M. Salman Asif, and A. Prater-Bennette. IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021.

• Solving Fourier Phase Retrieval With a Reference Image as a Sequence of Linear Inverse Problems
  Fahimeh Arab and M. Salman Asif. International Conference on Image Processing (ICIP), 2021.

• Data-Driven Illumination Patterns for Coded Diffraction Imaging
  Zikui Cai, Rakib Hyder, and M. Salman Asif. International Conference on Image Processing (ICIP), 2021.

• The benefits of side information for structured phase retrieval
  M. Salman Asif and Chinmay Hegde. European Conference on Signal Processing and Communication (EUSIPCO), January 2021.

• Learning Illumination Patterns for Coded Diffraction Phase Retrieval
  Zikui Cai, Rakib Hyder, and M. Salman Asif. likely to stay an arXiv preprint, 2021.

• Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models
  Viraj Shah, Rakib Hyder, M. Salman Asif, and Chinmay Hegde. likely to stay an arXiv preprint, 2021.

2020

• Joint Image and Depth Estimation with Mask-Based Lensless Cameras
  Yucheng Zheng and M. Salman Asif, in IEEE Trans. on Computational Imaging, vol. 6, pp. 1167-1178, 2020.
  Code available at https://github.com/CSIPlab/flatcamRBG-D

• Generative Models for Low-Dimensional Video Representation and Reconstruction
  Rakib Hyder and M. Salman Asif, in IEEE Trans. on Signal Processing, vol. 68, pp. 1688-1701, 2020.
  Available online at arxiv.orgabs1902.11132.
  Code available at https://github.com/CSIPlab/gmlr.

• SweepCam – Depth-Aware Lensless Imaging Using Programmable Masks
  Yi Hua, Shigeki Nakamura, M. Salman Asif, and Aswin C. Sankaranarayanan. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 42 (7), pp. 1606-1617, 2020.
  Video presentation available on youtube

• Robust High Dynamic Range (HDR) Imaging with Complex Motion and Parallax
  Zhiyuan Pu, Peiyao Guo, M Salman Asif, and Zhan Ma. Asian Conference on Computer Vision (ACCV), December 2020.

• Solving Phase Retrieval with a Learned Reference
  Rakib Hyder, Zikui Cai, and M. Salman Asif. European Conference on Computer Vision (ECCV), August 2020.

• Non- Adversarial Video Synthesis with Learned Priors
  Abhishek Aich, Aakash Gupta, Rameswar Panda, Rakib Hyder, M. Salman Asif, and Amit Roy-Chowdhury. Computer Vison and Pattern Recognition (CVPR), Seattle, Washington, June 2020.
  Project webpage, Code

• Low-rank tensor ring model for completing missing visual data
  M. Salman Asif and Ashley Prater-Bennette. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020.

• Fourier phase retrieval with arbitrary reference signal
  Fahimeh Arab and M. Salman Asif. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020.

• Coded illumination and multiplexing for lensless imaging
  Yucheng Zheng, Rongjia Zhang,and M. Salman Asif. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020.

• Sparse Distribution System State Esti- mation: An Approximate Solution Against Low Observability
  Alireza Akrami, M. Salman Asif and Hamed Mohsenian-Rad. IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC 2020.

2019

• Generative Models for Low-Dimensional Video Representation and Compressive Sensing
  Rakib Hyder and M. Salman Asif. Deep Inverse Workshop, NeurIPS, Vancouver, Canada, December 2019.

• Image and depth estimation with mask-based lensless cameras
  Yucheng Zheng and M. Salman Asif. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Guadeloupe, West Indies, December 2019.

• 3D imaging from distributed mask-based line cameras
  Yucheng Zheng and M. Salman Asif. Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, California, November 2019.

• Fourier phase retrieval with side information using generative prior
  Rakib Hyder, Chinmay Hegde, and M. Salman Asif. Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, California, November 2019.

• Generative models for low-rank video Representation and Reconstruction from compressive measurements
  Rakib Hyder and M. Salman Asif. IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), Pittsburgh, Pennsylvania, October 2019.

• Multilinear compressive sensing with tensor ring factorization
  M. Salman Asif and Ashley Prater-Bennette. IEEE Int. Conf. on Image Processing (ICIP), Taipei, Taiwan, September 2019.

• Alternating phase projected gradient descent with generative priors for solving compressive phase retrieval
  Rakib Hyder, Viraj Shah, Chinmay Hegde, and M. Salman Asif. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.

• Exactly decoding a vector through Relu activation
  Samet Oymak and M. Salman Asif. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.

2018

• Phase retrieval for signals in union of subspaces
  M. Salman Asif and Chinmay Hegde. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Anaheim, California, November 2018.

• Lensless 3D imaging using mask-based cameras
  M. Salman Asif. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 2018.

2017

• FlatCam: Thin, bare-sensor cameras using coded aperture and computation
  M. Salman Asif, Ali Ayremlou, Aswin Sankaranarayanan, Ashok Veeraraghavan, and Richard Baraniuk. IEEE Transactions on Computational Imaging, 3 (3) pp. 384–397, September 2017.
  Available online at arXiv:1509.00116, (supplemental videos)

• Low-rank matrix recovery of dynamic events
  M. Salman Asif. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Montreal, Canada, November 2017.

• Toward depth estimation using mask-based lensless cameras
  M. Salman Asif. Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, California, November 2017.

2016

• Lensless Imaging: A computational renaissance
  Vivek Boominathan, Jesse Adams, M. Salman Asif, Ben Avants, Jacob Robinson, Richard Baraniuk, Aswin Sankaranarayanan, and Ashok Veeraraghavan. IEEE Signal Processing Magazine, 33 (5), pp. 23–35, September 2016.
  

• Toward long distance, sub-diffraction imaging using coherent camera arrays
  Jason Holloway, M. Salman Asif, Manoj Sharma, Nathan Matsuda, Roarke Horstmeyer, Oliver Cossairt, and Ashok Veeraraghavan. IEEE Trans. on Computational Imaging, 2 (3) pp. 251–265, September 2016.
  Available online at arXiv:1510.08470, (project webpage)

2015 and earlier

• Sparse recovery of streaming signals using -homotopy
  M. Salman Asif and Justin Romberg. IEEE Transactions on Signal Processing, 62 (16) pp. 4209–4223, August 2014.
  (arXiv), (-homotopy project webpage), (github)

• Motion-adaptive spatio-temporal regularization (MASTeR) for accelerated dynamic MRI
  M. Salman Asif, Lei Hamilton, Marijn Brummer, and Justin Romberg. Magnetic Resonance in Medicine, 70:800–821, September 2013.
  (code)

• Fast and accurate algorithms for re-weighted -norm minimization
  M. Salman Asif and Justin Romberg. IEEE Transactions on Signal Processing, 61 (2) pp. 5905–5916, September 2013.
  (arXiv), (-homotopy project page), (github)

• Dynamic updating for minimization
  M. Salman Asif and Justin Romberg. IEEE Journal of Selected Topics in Signal Processing, 4 (2) pp. 421–434, April 2010.
  (arXiv)

• FPA-CS: Focal plane array-based compressive imaging in short-wave infrared
  Huajin Chen, M. Salman Asif, Aswin Sankaranarayanan, and Ashok Veeraraghavan. Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, June 2015.
  (ext. abstract) (Project webpage)

• FlatCam: Replacing lenses with masks and computation
  M. Salman Asif, Ali Ayremlou, Aswin Sankaranarayanan, Ashok Veeraraghavan, and Richard Baraniuk. Extreme Imaging Workshop, ICCV, Santiago, Chile, December 2015.
  

• Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery
  M. Salman Asif, Justin Romberg, and Richard Baraniuk. SPARS Workshop, Cambridge, UK, July 2015.
  

• Low-complexity video compression and compressive sensing
  M. Salman Asif, Felix Fernandes, and Justin Romberg. Asilomar Conference on Signals, Systems and Computers 2013.
  (poster), (code)

• Estimating and dynamic updating of time-varying signals with sparse variations
  M. Salman Asif, Adam Charles, Justin Romberg, and Chris Rozell. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, May 2011.
  

• Sparse penalties in dynamical system estimation
  Adam Charles, M. Salman Asif, Justin Romberg, and Chris Rozell. Conference on Information Sciences and Systems (CISS), Baltimore, MD, March 2011.

• Sparse signal recovery and dynamic update of the underdetermined system
  M. Salman Asif and Justin Romberg. Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2010.

• Compressive sensing for streaming signals using the streaming greedy pursuit
  Petros Boufounos and M. Salman Asif. Military Communications Conference (MILCOM), San Jose, CA, November 2010.

• Streaming compressive sensing for high-speed periodic videos
  M. Salman Asif, Dikpal Reddy, Petros Boufounos and Ashok Veeraraghavan. International Conference on Image Processing (ICIP), Hong Kong, September 2010.
  (videos)

• On the LASSO and Dantzig selector equivalence
  M. Salman Asif and Justin Romberg. Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 2010.

• Compressive sampling for streaming signals with sparse frequency content
  Petros Boufounos and M. Salman Asif. Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 2010.

• Basis pursuit with sequential measurements and time varying signals
  M. Salman Asif and Justin Romberg. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Aruba, December 2009.

• Random channel coding and blind deconvolution
  M. Salman Asif, William Mantzel and Justin Romberg. Allerton Conference on Communication, Control, and Computing, Monticello, IL, October 2009.

• Channel protection: Random coding meets sparse channels
  M. Salman Asif, William Mantzel and Justin Romberg. Information Theory Workshop, Taormina, Italy, October 2009.

• Dynamic updating for sparse time varying signals
  M. Salman Asif and Justin Romberg. Conference on Information Sciences and Systems (CISS), Baltimore, MD, March 2009.

• Dantzig selector homotopy with dynamic measurements
  M. Salman Asif and Justin Romberg. IS&T SPIE Computational Imaging VII, San Jose, CA, February 2009.

• Streaming measurements in compressive sensing: filtering
  M. Salman Asif and Justin Romberg. Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA,. October 2008.

Theses

• Dynamic Compressive Sensing: Sparse recovery algorithms for streaming signals and videos
  Ph.D. Thesis, Georgia Institute of Technology, 2013.
  (slides) (GT repository)

• Primal Dual Pursuit: A homotopy based algorithm for the Dantzig selector
  M.S. Thesis, Georgia Institute of Technology, 2008.
  (slides)