Monte-Carlo Convolutions on Foveated Images. - George Killick; Gerardo Aragon-Camarasa; J. Paul Siebert (VISIGRAPP (4: VISAPP), 2022)

Foveation in the Era of Deep Learning. - George Killick; Paul Henderson; Jan Paul Siebert; Gerardo Aragon-Camarasa (BMVC, 2023)

When hard negative sampling meets supervised contrastive learning. - Zijun Long; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa; Zaiqiao Meng (CoRR, 2023)

MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval. - Zijun Long; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa (CoRR, 2023)

Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning. - Zijun Long; George Killick; Lipeng Zhuang; Richard McCreadie; Gerardo Aragon-Camarasa; Paul Henderson (CoRR, 2023)

CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. - Zijun Long; Lipeng Zhuang; George Killick; Zaiqiao Meng; Richard McCreadie; Gerardo Aragon-Camarasa (ECAI, 2024)

Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. - Zijun Long; Lipeng Zhuang; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa; Paul Henderson (ECCV (54), 2024)

Multiway-Adapter: Adapting Multimodal Large Language Models for Scalable Image-Text Retrieval. - Zijun Long; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa (ICASSP, 2024)

RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models. - Zijun Long; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa (ICRA, 2024)