| MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation R Miles, MK Yucel, B Manganelli, A Saa-Garriga CVPR, 2023 | 22 | 2023 |
| Information Theoretic Representation Distillation R Miles, AL Rodríguez, K Mikolajczyk BMVC, 2022 | 20 | 2022 |
| Understanding the Role of the Projector in Knowledge Distillation R Miles, K Mikolajczyk AAAI, 2024 | 8* | 2024 |
| Cascaded Channel Pruning using Hierarchical Self-Distillation R Miles, K Mikolajczyk BMVC, 2020 | 8 | 2020 |
| Compression of Descriptor Models for Mobile Applications R Miles, K Mikolajczyk ICASSP, 2021 | 7* | 2021 |
| VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections R Miles, P Reddy, I Elezi, J Deng arXiv preprint, 2024 | 2 | 2024 |
| Improving Knowledge Distillation using Orthogonal Projections R Miles, I Elezi, J Deng CVPR, 2024 | 2 | 2024 |
| Reconstructing Pruned Filters using Cheap Spatial Transformations R Miles, K Mikolajczyk ICCV Workshops, 2023 | 2 | 2023 |
| Learning to Project for Cross-Task Knowledge Distillation D Auty, R Miles, B Kolbeinsson, K Mikolajczyk BMVC, 2024 | 1 | 2024 |
| Towards Resource Efficient Vision Models R Miles Imperial College London, 2024 | | 2024 |
Krystian MikolajczykProfessor, Imperial College LondonVerified email at imperial.ac.uk
