Salman Asif
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!
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:
September 2021: Two papers accepted to NeurIPS 2021. Congratulations all the students and collaborators!
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
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
January 2021: Received NSF CAREER Award!
more news
Research interests
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.
|