| 2026 | AAAI | ViCToR: Improving Visual Comprehension via Token Reconstruction for Pretraining LMMs. | Yin Xie, Kaicheng Yang, Peirou Liang, Xiang An, Yongle Zhao, Yumeng Wang, Ziyong Feng, Roy Miles, Ismail Elezi, Jiankang Deng |
| 2025 | ICCV | Region-based Cluster Discrimination for Visual Representation Learning. | Yin Xie, Kaicheng Yang, Xiang An, Kun Wu, Yongle Zhao, Weimo Deng, Zimin Ran, Yumeng Wang, Ziyong Feng, Roy Miles, Ismail Elezi, Jiankang Deng |
| 2024 | AAAI | Understanding the Role of the Projector in Knowledge Distillation. | Roy Miles, Krystian Mikolajczyk |
| 2024 | BMVC | Learning to Project for Cross-Task Knowledge Distillation. | Dylan Auty, Roy Miles, Benedikt Kolbeinsson, Krystian Mikolajczyk |
| 2024 | CVPR | $V_{k}D$: Improving Knowledge Distillation Using Orthogonal Projections. | Roy Miles, Ismail Elezi, Jiankang Deng |
| 2023 | CVPR | MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation. | Roy Miles, Mehmet Kerim Yucel, Bruno Manganelli, Albert Sa-Garriga |
| 2022 | BMVC | Information Theoretic Representation Distillation. | Roy Miles, Adrin Lpez Rodrguez, Krystian Mikolajczyk |
| 2021 | ICASSP | Compressing Local Descriptor Models for Mobile Applications. | Roy Miles, Krystian Mikolajczyk |
| 2020 | BMVC | Cascaded channel pruning using hierarchical self-distillation. | Roy Miles, Krystian Mikolajczyk |