Unconventional Sensing (IEEE ICASSP 2020)
Overview of the Session
This interdisciplinary topic covers both novel sensing hardware as well as signal processing algorithms pivoted around novel sensing modalities. In crux, we are aiming to bring together researchers and practitioners who are using signal processing related tools in unconventional ways and with unconventional applications and end goals.
Organizers: Ayush Bhandari (Imperial) and Thierry Blu (CUHK)
| P1 | Coded Illumination and Multiplexing for Lensless Imaging Yucheng Zhang, Rongjia Zheng and M. Salman Asif University of California, Riverside |
| P2 | Sparse Convolutional Beamforming for Wireless Ultrasound Alon Mamistvalov and Yonina Eldar Weizmann Institute of Science |
| P3 | Divergence-Based Adaptive Extreme Video Completion Majed El Helou, Ruofan Zhou, Frank Schmutz, Fabrice Guibert, and Sabine Süsstrunk Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| P4 | Encoding and Decoding Mixed Bandlimited Signals Using Spiking Integrate-and-Fire Neurons Karen Adam, Adam Scholefield, Martin Vetterli Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| P5 | On the Effect of Reflectance on Phasor Field Non-Line-of-Sight Imaging Ibón Guillén, Xiaochun Liu*, Andreas Velten*, Diego Gutierrez, and Adrian Jarabo Universidad de Zaragoza and *University of Wisconsin-Madison |
| P6 | Signal Sensing and Reconstruction Paradigms for a Novel Multi-Source Static Computed Tomography System Alankar Kotwal*, Avilash Cramer•, Dufan Wu#, Kai Yang#, Wolfgang Krull#, Ioannis Gkioulekas* and Rajiv Gupta# *Carnegie Mellon University, •Massachusetts General Hospital and #Massachusetts Institute of Technology |
| P7 | Sampling Classes of Non-Bandlimited Signals Using Integrate-and-Fire Devices: Average Case Analysis Roxana Alexandru*, Nguyen T. Thao•, Dominik Rzepka#, Pier Luigi Dragotti* *Imperial College London, •City College of New York and #AGH University of Science and Technology |
| P8 | Towards an Intelligent Microscope: Adaptively Learned Illumination for Optimal Sample Classification Amey Chaware, Colin Cooke, Kanghyun Kim and Roarke Horstmeyer Duke University |
| P9 | High Dynamic Range Imaging Using Deep Image Priors Gauri Jagatap and Chinmay Hegde Iowa State University |
| P10 | Kernel Computations From Large-Scale Random Features Obtained by Optical Processing Units Ruben Ohana*, Jonas Wacker•, Jonathan Dong*, Sébastien Marnin•, Florent Krzakala*, Maurizio Filippone•, Laurent Daudet# *Ecole Normale Supérieure, •EURECOM and #LightOn |
| P11 | Multi-Depth Computational Periscopy With an Ordinary Camera Charles Saunders, Rishabh Bose*, John Murray-Bruce and Vivek Goyal Boston University and *Stockdale High School |
| P12 | Super-Resolution With Noisy Measurements: Reconciling Upper and Lower Bounds Heng Qiao, Sina Shoaran and Piya Pal University of California, San Diego |