Venue: University of Macau
AVSS 2027 is planned to be hosted at the University of Macau. The campus covers about 1.09 square kilometers, serves about 15,000 students, and includes modern academic, residential, and meeting facilities.
July 15-17, 2027 | University of Macau
AVSS 2027 is planned for July 15-17, 2027 at the University of Macau, Macau SAR. The conference provides an interdisciplinary forum for researchers, practitioners, and leaders from academia, industry, and government to exchange advances in visual and signal-based systems.
AVSS covers visual analytics, signal-based perception, multimodal sensing, intelligent systems, privacy-aware deployment, and safety-critical real-world applications. The 2027 edition will take place in Macau SAR, a compact international meeting destination in the Guangdong-Hong Kong-Macao Greater Bay Area.
Dates are based on the AVSS 2027 Macau proposal and will be updated after final confirmation.
Authors should follow the official AVSS 2027 submission guidelines once they are released. The planned submission categories include full papers, short papers, demo papers, and abstract submissions.
AVSS 2027 is planned to be hosted at the University of Macau. The campus covers about 1.09 square kilometers, serves about 15,000 students, and includes modern academic, residential, and meeting facilities.
Tentative registration categories include SPS member, IEEE member, non-member, and student rates. Final registration instructions will be announced after confirmation.
Travelers may arrive via Macau International Airport, Hong Kong International Airport, Shenzhen Bao'an International Airport, or Zhuhai Jinwan Airport, with onward travel options to the conference venue.
Accommodation options near the venue include the UM Guest House and hotels in Taipa and Cotai, such as The Venetian and The Parisian.
Travel grant information, if available, will be posted with the registration and participation instructions.
IEEE AVSS is a long-running conference series focused on advanced visual and signal-based systems, bringing together work on sensing, perception, analytics, systems, deployment, and applications.