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Elliot Crowley
Person information
- affiliation: University of Edinburgh, School of Engineering, UK
- affiliation (PhD 2016): University of Oxford, UK
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2020 – today
- 2024
- [j2]Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle:
Neural Architecture Search as Program Transformation Exploration. Commun. ACM 67(10): 92-100 (2024) - [c17]Chenhongyi Yang, Lichao Huang, Elliot J. Crowley:
Plug and Play Active Learning for Object Detection. CVPR 2024: 17784-17793 - [c16]Chenhongyi Yang, Anastasia Tkach, Shreyas Hampali, Linguang Zhang, Elliot J. Crowley, Cem Keskin:
EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation. ECCV (55) 2024: 401-417 - [i24]Chenhongyi Yang, Tianwei Lin, Lichao Huang, Elliot J. Crowley:
WidthFormer: Toward Efficient Transformer-based BEV View Transformation. CoRR abs/2401.03836 (2024) - [i23]Chenhongyi Yang, Zehui Chen, Miguel Espinosa, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley:
PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition. CoRR abs/2403.17695 (2024) - [i22]Chenhongyi Yang, Anastasia Tkach, Shreyas Hampali, Linguang Zhang, Elliot J. Crowley, Cem Keskin:
EgoPoseFormer: A Simple Baseline for Egocentric 3D Human Pose Estimation. CoRR abs/2403.18080 (2024) - [i21]Thomas L. Lee, Sigrid Passano Hellan, Linus Ericsson, Elliot J. Crowley, Amos J. Storkey:
Hyperparameter Selection in Continual Learning. CoRR abs/2404.06466 (2024) - [i20]Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley:
einspace: Searching for Neural Architectures from Fundamental Operations. CoRR abs/2405.20838 (2024) - 2023
- [c15]Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang:
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation. ICLR 2023 - [i19]Miguel Espinosa, Elliot J. Crowley:
Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps. CoRR abs/2308.16648 (2023) - [i18]Perry Gibson, José Cano, Elliot J. Crowley, Amos J. Storkey, Michael F. P. O'Boyle:
DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack. CoRR abs/2311.08909 (2023) - 2022
- [c14]Chenhongyi Yang, Mateusz Ochal
, Amos J. Storkey, Elliot J. Crowley:
Prediction-Guided Distillation for Dense Object Detection. ECCV (9) 2022: 123-138 - [i17]Chenhongyi Yang, Mateusz Ochal
Prediction-Guided Distillation for Dense Object Detection. CoRR abs/2203.05469 (2022) - [i16]Chenhongyi Yang, Lichao Huang, Elliot J. Crowley:
Plug and Play Active Learning for Object Detection. CoRR abs/2211.11612 (2022) - [i15]Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang:
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation. CoRR abs/2212.06795 (2022) - 2021
- [j1]Elliot J. Crowley
Substituting Convolutions for Neural Network Compression. IEEE Access 9: 83199-83213 (2021) - [c13]Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle
Neural architecture search as program transformation exploration. ASPLOS 2021: 915-927 - [c12]Joe Mellor, Jack Turner, Amos J. Storkey, Elliot J. Crowley:
Neural Architecture Search without Training. ICML 2021: 7588-7598 - [i14]Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle:
Neural Architecture Search as Program Transformation Exploration. CoRR abs/2102.06599 (2021) - [i13]Chenhongyi Yang, Lichao Huang, Elliot J. Crowley:
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning. CoRR abs/2111.13651 (2021) - 2020
- [c11]Perry Gibson
Optimizing Grouped Convolutions on Edge Devices. ASAP 2020: 189-196 - [c10]Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey, Gavin Gray:
BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget. ICLR 2020 - [c9]Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey:
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels. NeurIPS 2020 - [i12]Valentin Radu, Kuba Kaszyk
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. CoRR abs/2002.08697 (2020) - [i11]Joseph Charles Mellor, Jack Turner, Amos J. Storkey, Elliot J. Crowley:
Neural Architecture Search without Training. CoRR abs/2006.04647 (2020) - [i10]Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey:
Optimizing Grouped Convolutions on Edge Devices. CoRR abs/2006.09791 (2020)
2010 – 2019
- 2019
- [c8]Valentin Radu
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. IISWC 2019: 24-34 - [i9]Gavin Gray, Elliot J. Crowley, Amos J. Storkey:
Separable Layers Enable Structured Efficient Linear Substitutions. CoRR abs/1906.00859 (2019) - [i8]Jack Turner, Elliot J. Crowley, Gavin Gray, Amos J. Storkey, Michael F. P. O'Boyle:
BlockSwap: Fisher-guided Block Substitution for Network Compression. CoRR abs/1906.04113 (2019) - [i7]Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Amos J. Storkey:
Deep Kernel Transfer in Gaussian Processes for Few-shot Learning. CoRR abs/1910.05199 (2019) - 2018
- [c7]Jack Turner, José Cano
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. IISWC 2018: 101-110 - [c6]Elliot J. Crowley, Gavin Gray, Amos J. Storkey:
Moonshine: Distilling with Cheap Convolutions. NeurIPS 2018: 2893-2903 - [i6]Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey:
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. CoRR abs/1809.07196 (2018) - [i5]Luke Nicholas Darlow, Elliot J. Crowley, Antreas Antoniou, Amos J. Storkey:
CINIC-10 is not ImageNet or CIFAR-10. CoRR abs/1810.03505 (2018) - [i4]Elliot J. Crowley, Jack Turner, Amos J. Storkey, Michael F. P. O'Boyle:
Pruning neural networks: is it time to nip it in the bud? CoRR abs/1810.04622 (2018) - [i3]Jack Turner, Elliot J. Crowley, Valentin Radu, José Cano, Amos J. Storkey, Michael F. P. O'Boyle:
HAKD: Hardware Aware Knowledge Distillation. CoRR abs/1810.10460 (2018) - [i2]Antreas Antoniou, Agnieszka Slowik
Dilated DenseNets for Relational Reasoning. CoRR abs/1811.00410 (2018) - 2017
- [i1]Elliot J. Crowley, Gavin Gray, Amos J. Storkey:
Moonshine: Distilling with Cheap Convolutions. CoRR abs/1711.02613 (2017) - 2016
- [b1]Elliott Joseph Crowley:
Visual recognition in art using machine learning. University of Oxford, UK, 2016 - [c5]Elliot J. Crowley, Andrew Zisserman:
The Art of Detection. ECCV Workshops (1) 2016: 721-737 - 2015
- [c4]Elliot J. Crowley, Omkar M. Parkhi, Andrew Zisserman:
Face Painting: querying art with photos. BMVC 2015: 65.1-65.13 - 2014
- [c3]Elliot Crowley, Andrew Zisserman:
The State of the Art: Object Retrieval in Paintings using Discriminative Regions. BMVC 2014 - [c2]Elliot J. Crowley, Andrew Zisserman:
In Search of Art. ECCV Workshops (1) 2014: 54-70 - 2013
- [c1]Elliot Crowley, Andrew Zisserman:
Of Gods and Goats: Weakly Supervised Learning of Figurative Art. BMVC 2013
Coauthor Index
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last updated on 2024-12-11 20:46 CET by the dblp team
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