SIPL Annual Event 2020

We are delighted to invite you to the 30th SIPL Annual Event.
SIPL’s Annual Event is a technical symposium focused on signal processing and its applications.

The Signal and Image Processing Lab (SIPL) was established 45 years ago at the Electrical Engineering Faculty of the Technion. It has been since active in research and teaching in a wide range of signal processing topics with many dozens of graduate students over the years and over 50 undergraduate projects each year – many of them in collaboration with industry.
The event highlights SIPL’s activities over the past year with invited talks, presentations, posters, and demos. This year, for the first time, we are excited to announce that SIPL’s Annual Event is reimagined as a virtual symposium, bigger and better than ever.

The symposium will be held on Wednesday, July 1st , 2020.


14:00-15:30 Live event

Welcome – Prof. David Malah, Head of SIPL


Invited Talk – “Medical Imaging Research in Industry” – Ayelet Akselrod-Ballin, Director of AI, and Raouf Muhamedrahimov, Machine Learning Researcher, at Zebra Medical Vision, 

14:35 Wilk family awards
14:45 Review of teaching activity at SIPL – Nimrod Peleg, Chief engineer of SIPL
15:00 Invited Talk – “Machine Learning and Computer Vision Challenges and Opportunities in Computational Behavioral Phenotyping” – Guillermo Sapiro, Distinguished Prof. Duke University
15:30- On-demand content available:

Undergraduate student presentations:

Blood Pressure Estimation from PPG Signals (ICASSP 2020, Kasher Award 1st prize winner)
Unsupervised Abnormality Detection for Autonomous Systems (IEEE Signal Processing Cup 2020 grand prize winner)
Analysis of Skin Histopathological Images (Thomas Schwartz award winner)


Undergraduate student demos: 

Alarm Sound Detection Application
Acoustic-based Proximity Detector for Mobile Phones
An Automatic TAKI Judge
Double Date – Pedestrian Traffic Light Detection Application


More than 50 undergraduate students posters


Graduate student presentations & posters

Explorable Super Resolution – Yuval Bahat (oral @ CVPR2020)
Direct Validation of the Information Bottleneck Principle for Deep Nets – Adar Elad and Doron Haviv (ICCV 2019 Workshop)
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff – Yochai Blau (long oral @ ICML 2019)
Unique Properties of Flat Minima in Deep Networks – Rotem Mulayoff (ICML 2020)
Evaluation of Deep-learning-based Voice Activity Detectors and Room Impluse Response Models in Reverberant Environments – Amir Ivry (ICASSP 2020)
Greedy Sparse Array Design for Optimal Localization Under Spatially Prioritized Source Distribution – Yotam Gershon (ICASSP 2020)
Unsupervised Domain Adaptation Using Riemannian Geometry – Or Yair
Time Series Filtering Based on Geometric Signal Modeling – Tal Shnitzer
Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators – Tal Shnitzer


Forum for discussions

The event is virtual this year