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George Killick
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2020 – today
- 2024
- [c6]Zijun Long, Lipeng Zhuang, George Killick, Zaiqiao Meng, Richard McCreadie, Gerardo Aragon-Camarasa:
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. ECAI 2024: 1800-1807 - [c5]Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson:
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. ECCV (54) 2024: 435-454 - [c4]Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa:
Multiway-Adapter: Adapting Multimodal Large Language Models for Scalable Image-Text Retrieval. ICASSP 2024: 6580-6584 - [c3]Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa:
RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models. ICRA 2024: 12428-12435 - [i7]Zijun Long, George Killick, Lipeng Zhuang, Gerardo Aragon-Camarasa, Zaiqiao Meng, Richard McCreadie:
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. CoRR abs/2402.14551 (2024) - [i6]Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson:
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. CoRR abs/2403.06289 (2024) - 2023
- [c2]George Killick, Paul Henderson, Jan Paul Siebert, Gerardo Aragon-Camarasa:
Foveation in the Era of Deep Learning. BMVC 2023: 703-706 - [i5]Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng:
When hard negative sampling meets supervised contrastive learning. CoRR abs/2308.14893 (2023) - [i4]Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa:
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval. CoRR abs/2309.01516 (2023) - [i3]Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa:
RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models. CoRR abs/2310.10221 (2023) - [i2]Zijun Long, George Killick, Lipeng Zhuang, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson:
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning. CoRR abs/2311.16481 (2023) - [i1]George Killick, Paul Henderson, Paul Siebert, Gerardo Aragon-Camarasa:
Foveation in the Era of Deep Learning. CoRR abs/2312.01450 (2023) - 2022
- [c1]George Killick, Gerardo Aragon-Camarasa, J. Paul Siebert:
Monte-Carlo Convolutions on Foveated Images. VISIGRAPP (4: VISAPP) 2022: 444-451
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