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(9)

• Clustering-driven Memory Compression for On-device Large Language Models

  AuthorOndrej Bohdal, Mete Ozay

  PublishedIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

  Date2026-05-04

• FedP2EFT: Federated Learning to Personalize Parameter Efficient Fine-Tuning for Multilingual LLMs

  AuthorRoyson Lee, Minyoung Kim, Rui Li, Stylianos I. Venieris, Timothy Hospedales

  PublishedConference on Artificial Intelligence (AAAI)

  Date2026-01-20

• LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation

  AuthorOndrej Bohdal, Mete Ozay

  PublishedIEEE/CVF International Conference on Computer Vision (ICCV)

  Date2025-10-19

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News(3)

• Samsung R&D Institute UK Wins Best Paper Award at ICCV 2025 Personalization in Generative AI Workshop

  Researchers from Samsung R&D Institute UK (SRUK) win the Best Paper Award at ICCV 2025 Personalization in Generative AI Workshop

• [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.

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