Salman Asif

M. Salman Asif Assistant Professor Department of Electrical and Computer Engineering Cooperating Faculty Department of Computer Science and Engineering University of California, Riverside Email: sasif@ece.ucr.edu Phone: (951) 827-2385 Office: 4126 Multidisciplinary Research Building (MRB) Mail: 900 University Ave., Riverside, CA 92521 Web: www.ece.ucr.edu/~sasif Google Scholar profile

I am currently an Assistant Professor in the Department of Electrical and Computer Engineering at the University of California, Riverside.

My research interests broadly lie in the areas of computational imaging, signal/image processing, computer vision, and machine learning. I design algorithms to learn and exploit latent signal structures for fast and efficient information recovery. Recently, I have been working on some projects in computational imaging, adversarial computer vision, multi-modal machine learning, and soft, wearable robotics.

News and updates

• March 2022: One paper accepted to CVPR 2022. Congratulations to Zikui and all the collaborators!

  • Zero-Query Transfer Attacks on Context-Aware Object Detectors (joint work with Zikui Cai, Shantanu Rane, Alejandro Brito, Srikanth Krishnamurthy, Chengyu Song, and Amit Roy-Chowdhury)

• December 2021: Two papers on adversarial attacks accepted (one in AAAI 2022 and one in WACV 2022). Congratulations to all the students and collaborators!

  • Context-Aware Transfer Attacks for Object Detection in AAAI 2022 (joint work with Zikui Cai, Xinxin Xie, Shasha Li, Mingjun Yin, Chengyu Song, Srikanth Krishnamurthy, and Amit Roy-Chowdhury)

  • ADC: Adversarial attacks against object Detection that evade Context consistency checks in WACV 2022 (joint work with Mingjun Yin, Shasha Li, Chengyu Song, Amit K Roy-Chowdhury, and Srikanth Krishnamurthy)

• November 2021: Invited talk on Lensless Imaging with Programmable Masks and Illuminations at IEEE SPS SPACE Webinar. Video available via YouTube video link.
  The talk is based on recent papers on lensless imaging:

  • Coded Illumination for Improved Lensless Imaging

  • A Simple Framework for 3D Lensless Imaging with Programmable Masks
    

  • SweepCam – Depth-Aware Lensless Imaging Using Programmable Masks

  • Joint Image and Depth Estimation with Mask-Based Lensless Cameras

• September 2021: Two papers accepted to NeurIPS 2021. Congratulations all the students and collaborators!

  • Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition (joint work with Jiaming Liu, Brendt Wohlberg, and Ulugbek Kamilov)

  • Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations (joint work with Shasha Li, Abhishek Aich, Shitong Zhu, Chengyu Song, Amit Roy-Chowdhury, and Srikanth Krishnamurthy)

• August 2021: We received an NSF NRI award on integrated visual sensing and actuation for soft wearable robots with Konstantinos Karydis, Philip Brisk, William Grover, and Elena Kokkoni.

• August 2021: Received an AFOSR grant on multimodal sensing and learning!

• July 2021: Two papers accepted to ICCV 2021

  • A Simple Framework for 3D Lensless Imaging with Programmable Masks (joint work with Yucheng Zheng, Yi Hua, and Aswin C. Sankaranarayanan)

  • Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes (joint work with Mingjun Yin, Shasha Li, Zikui Cai, Chengyu Song, Amit Roy-Chowdhury, and Srikanth Krishnamurthy)

• June 2021: A journal paper accepted to to IEEE Trans. on Power Systems: Sparse Tracking State Estimation for Low-ObservablePower Distribution Systems Using D-PMUs (joint work with Alireza Akrami and Hamed Mohsenian-Rad)

• May 2021: Two papers accepted to ICIP 2021

  • Solving Fourier Phase Retrieval With a Reference Image as a Sequence of Linear Inverse Problems (joint work with Fahimeh Arab)

  • Data-Driven Illumination Patterns for Coded Diffraction Imaging (joint work with Zikui Cai and Rakib Hyder)

• January 2021: Received NSF CAREER Award!

• more news