| Empnet: Neural localisation and mapping using embedded memory points G Avraham, Y Zuo, T Dharmasiri, T Drummond Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 24 | 2019 |
| Fast residual forests: Rapid ensemble learning for semantic segmentation Y Zuo, T Drummond Conference on Robot Learning, 27-36, 2017 | 24 | 2017 |
| Learning instance and task-aware dynamic kernels for few-shot learning R Ma, P Fang, G Avraham, Y Zuo, T Zhu, T Drummond, M Harandi European Conference on Computer Vision, 257-274, 2022 | 17 | 2022 |
| Parallel optimal transport GAN G Avraham, Y Zuo, T Drummond Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 17 | 2019 |
| Generative adversarial forests for better conditioned adversarial learning Y Zuo, G Avraham, T Drummond arXiv preprint arXiv:1805.05185, 2018 | 16 | 2018 |
| Viewfusion: Towards multi-view consistency via interpolated denoising X Yang, Y Zuo, S Ramasinghe, L Bazzani, G Avraham, A van den Hengel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 11 | 2024 |
| Machine-learning assisted optimisation during heterogeneous photocatalytic degradation utilising a static mixer under continuous flow TM Kohl, Y Zuo, BW Muir, CH Hornung, A Polyzos, Y Zhu, X Wang, ... Reaction Chemistry & Engineering 9 (4), 872-882, 2024 | 8 | 2024 |
| Improved Training of Generative Adversarial Networks Using Decision Forests Y Zuo, G Avraham, T Drummond Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 7 | 2021 |
| Traversing latent space using decision ferns Y Zuo, G Avraham, T Drummond Asian Conference on Computer Vision, 593-608, 2018 | 6 | 2018 |
| Protocol Models: Scaling Decentralized Training with Communication-Efficient Model Parallelism S Ramasinghe, T Ajanthan, G Avraham, Y Zuo, A Long arXiv preprint arXiv:2506.01260, 2025 | 3 | 2025 |
| Nesterov Method for Asynchronous Pipeline Parallel Optimization T Ajanthan, S Ramasinghe, Y Zuo, G Avraham, A Long arXiv preprint arXiv:2505.01099, 2025 | 3 | 2025 |
| Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals Y Zuo, A Dezfouli, I Chades, D Alexander, BW Muir arXiv preprint arXiv:2202.04832, 2022 | 2 | 2022 |
| Localising In Complex Scenes Using Balanced Adversarial Adaptation G Avraham, Y Zuo, T Drummond International Conference on 3D Vision (3DV), 2020 | 2 | 2020 |
| Residual Likelihood Forests Y Zuo, T Drummond British Machine Vision Conference, 2020 | 2 | 2020 |
| Beyond Top-K: Structured Sparsification for Compression in Pipeline Parallel S Ramasinghe, T Ajanthan, G Avraham, Y Zuo, A Long ICLR 2025 Workshop on Modularity for Collaborative, Decentralized, and …, 0 | 2 | |
| Advances in decision forests and ferns with applications in deep representation learning for computer vision Y Zuo Monash University, 2019 | 1 | 2019 |
| Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields R Ma, L Lebrat, RS Cruz, G Avraham, Y Zuo, C Fookes, O Salvado arXiv preprint arXiv:2401.16144, 2024 | | 2024 |
| Mixed-variable black-box optimisation using value proposal trees Y Zuo, V Nguyen, A Dezfouli, D Alexander, BW Muir, I Chades Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11506 …, 2023 | | 2023 |
| Momentum Look-Ahead for Asynchronous Distributed Low-Communication Training T Ajanthan, S Ramasinghe, G Avraham, Y Zuo, A Long ICLR 2025 Workshop on Modularity for Collaborative, Decentralized, and …, 0 | | |
| Exploring Asynchronism in SWARM Parallelism Y Zuo, G Avraham, T Ajanthan, S Ramasinghe, A Long ICLR 2025 Workshop on Modularity for Collaborative, Decentralized, and …, 0 | | |
Gil AvrahamPluralis ResearchVerified email at pluralis.ai
