Blog(1)

• Object-Conditioned Bag Of Instances For Few-shot Personalized Instance Recognition

  Smart devices are beginning to become ubiquitous in everyday life and their users are demanding for instance-level personalized detection of vision systems mounted on such devices [2].

Research Areas(0)

Publications(5)

• A New Frontier of AI: On-Device AI Training and Personalization

  AuthorJijoong Moon, Hyun Suk Lee, Jiho Chu, Donghak Park, Seungbaek Hong, Hyungjun Seo, Donghyeon Jeong, Sungsik Kong, MyungJoo Ham

  PublishedInternational Conference on Software Engineering (ICSE)

  Date2024-04-14

• Object-Conditioned Bag of Instances for Few-Shot Personalized Instance Recognition

  AuthorUmberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay

  PublishedInternational Conference on Acoustics, Speech and Signal Processing (ICASSP)

  Date2024-03-18

• FedL2P: Federated Learning to Personalize 

  AuthorRoyson Lee, Minyoung Kim, Da Li, Timothy Hospedales

  PublishedNeural Information Processing Systems (NeurIPS)

  Date2023-12-11

View More

News(2)

• [Blog] Speaker Personalization for Automatic Speech Recognition using Weight-Decomposed Low-Rank Adaptation

  Personalizing automated speech recognition (ASR) for voice assistant systems is often considered the holy grail, requiring meticulous attention to detail in model optimization.

• [Blog] Resolving Privacy-Personalization Paradox

  The advent of technical breakthroughs in communication, the Internet followed by increasing digitisation and proliferation of personal devices such as mobiles, smart appliances, etc. have made it possible to connect and digitize many human activities. This empowered the industries to collect large data of their users with consent, which is used for offering personalised services and products to enhance customer experience.

Others(0)