Intern: Hybrid Implicit Neural Image Compression

InterDigital, Inc.; Rennes; Hybrid; EUR 11,000 - 16,000; Full time

Job summary

InterDigital, Inc. in Rennes, France is seeking a Master’s student for a hybrid internship in the SympAI team of the New Media Codecs Group within the Video Lab.

The intern will study hybrid implicit neural representations (INR) for image compression, starting from an existing framework and adapting entropy, up samplers and synthesis networks for a specific image to encode, balancing rate-distortion performance and encoding time.

Qualifications

• Master’s student in Computer Engineering, Computer Science, Software Engineering, or a closely related discipline.
• Strong proficiency in C/C++ and Python.
• Fluent in English, with excellent written and verbal communication skills.

Responsibilities

• Analyze existing technologies and identify core challenges related to Hybrid INR compression.
• Contribute to the design and development of software solutions addressing these challenges.
• Perform rigorous testing and validation, including simulation-based evaluations, to ensure functional correctness and performance in line with established protocols.
• Implement, test, and validate the proposed components and algorithms.
• Communicate technical outcomes effectively, contributing to documentation, internal reports, and potentially to publications or intellectual property filings.

Skills

C/C++

Python

English

Education

Master’s student in Computer Engineering/CS/Software Engineering or related field

Job description

InterDigital, Inc. in Rennes, France is seeking a Master’s student for a hybrid internship in the SympAI team of the New Media Codecs Group within the Video Lab.

The intern will study hybrid implicit neural representations (INR) for image compression, starting from an existing framework and adapting entropy, up samplers and synthesis networks for a specific image to encode, balancing rate-distortion performance and encoding time.