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Section: Publications & Resources
The K. S. Institute of Technology of Bengaluru, India Chapter (IEEE KSIT Chapter) conducted multiple events in March, July, September 2023 and part of 2022 on various activities such as workshops, membership drive, orphanage visit, and IEEE SPS Day.
Section: Publications & Resources
IEEE Signal Processing Society President Athina Petropulu, in her capacity as 2024-2025 Chair of the Society’s Nominations and Appointments Committee, invites nominations for the IEEE Signal Processing Society Officer position Vice President-Technical Directions for the term of 1 January 2025-31 December 2027.
Section: Publications & Resources
The Signal Processing Society (SPS) conducts webinars presented by professionals in the field of signal processing and related technologies on an ongoing basis. Webinars are also hosted periodically by SPS Technical Committees, and other network of communities. Visit the Upcoming Events page to see a list of our upcoming webinars and join us! Visit the SPS BLOG for more related content on a regular basis!
Section: Publications & Resources
The IEEE Signal Processing is proud to partner with the IEEE Computer, Power and Energy, and Communications Societies on the 2024 IEEE SustainTech Expo and Leadership Forum!
Section: Publications & Resources
The onset of any new year prompts reflection, and the IEEE Signal Processing Society (SPS) has a lot to be proud of as we approach 2024!
Section: Publications & Resources
Each year, the IEEE Board of Directors confers the grade of Fellow on up to one-tenth of one percent of the voting members. To qualify for consideration, an individual must have been a Member, normally for five years or more, and a Senior Member at the time for nomination to Fellow.
Section: Publications & Resources
Publication: IEEE Transactions on Multimedia
Domain generalization aims to reduce the vulnerability of deep neural networks in the out-of-domain distribution scenario. With the recent and increasing data privacy concerns, federated domain generalization, where multiple domains are distributed on different local clients, has become an important research problem and brings new challenges for learning domain-invariant information from separated domains.
Section: Publications & Resources
Publication: IEEE Transactions on Multimedia
Zero-shot learning (ZSL) has received extensive attention recently especially in areas of fine-grained object recognition, retrieval, and image captioning. Due to the complete lack of training samples and high requirement of defense transferability, the ZSL model learned is particularly vulnerable against adversarial attacks. Recent work also showed adversarially robust generalization requires more data.
Section: Publications & Resources
Publication: IEEE Transactions on Multimedia
Pedestrian attribute recognition (PAR) aims to generate a structured description of pedestrians and plays an important role in surveillance. Current work focusing on 2D images can achieve decent performance when there is no variation in the captured pedestrian orientation. However, the performance of these works cannot be maintained in scenarios when the orientation of pedestrians is ignored.
Section: Publications & Resources
Publication: IEEE Transactions on Multimedia
Instance-level human parsing is aimed at separately partitioning the human body into different semantic parts for each individual, which remains a challenging task due to human appearance/pose variation, occlusion and complex backgrounds. Most state-of-the-art methods follow the “parsing-by-detection” paradigm, which relies on a trained detector to localize persons and then sequentially performs single-person parsing for each person. However, this paradigm is closely related to the detector, and the runtime is proportional to the number of persons in an image.
