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The HDR Inverse Tone Mapping Grand Challenge (ICIP 2022)

Associated SPS Event: IEEE ICIP 2022 Grand Challenge

High Dynamic Range (HDR) imaging provides the ability to capture, manipulate and display real-world lighting. This is a significant upgrade from Standard Dynamic Range (SDR) which only handles up to 255 luminance values concurrently. While capture technologies have advanced significantly over the last few years, currently available HDR capturing sensors (e.g., smartphones) only improve the dynamic range by a few stops over conventional SDR. 

Postdoctoral Fellowship

A postdoctoral research position is available at Johns Hopkins University in the laboratory of Dr. Mounya Elhilali to investigate representation of complex sounds in biological and artificial networks. The position is available immediately for two years, with possibility of renewal.

The ideal applicant will have a doctoral degree in computer science, electrical engineering, applied mathematics, neuroscience, psychology, hearing or brain sciences, with strong quantitative skills.

Isao Yamada

Tokyo Institute of Technology Tokyo, Japan

IEEE SPS SAM TC Webinar: 27 January 2022, by Sundeep Rangan

The use of wireless frequencies above 100 GHz has attracted considerable interest for both massive bandwidth communication links and very high resolution RADAR and sensing. Systems in these frequencies have unique characteristics in terms of device nonlinearities, MIMO architectures and radio propagation that in turn present significant design challenges.

Industry Leaders in Signal Processing and Machine Learning: Dr. Oriol Vinyals

Dr. Oriol Vinyals is a Principal Scientist at DeepMind, and a team lead of the Deep Learning group. His work focuses on Deep Learning and Artificial Intelligence. Prior to joining DeepMind, Oriol was part of the Google Brain team. He holds a Ph.D. in EECS from the University of California, Berkeley and is a recipient of the 2016 MIT TR35 innovator award. 

SPS Webinar: 24 February 2022, by Dr. Samet Akcay - Recent Advances of Deep Learning within X-ray Security Imaging

X-ray security screening is widely utilized in aviation and transportation, and its importance has sparked interest in automated screening systems. The goal of this webinar is to explore computerized X-ray security imaging methods by classifying them into traditional machine learning and modern deep learning applications.