Elliot Crowley

According to our database, Elliot Crowley authored at least 34 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Neural Architecture Search as Program Transformation Exploration.

Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle

Commun. ACM, October, 2024

einspace: Searching for Neural Architectures from Fundamental Operations.

Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley

CoRR, 2024

Hyperparameter Selection in Continual Learning.

Thomas L. Lee, Sigrid Passano Hellan, Linus Ericsson, Elliot J. Crowley, Amos J. Storkey

CoRR, 2024

EgoPoseFormer: A Simple Baseline for Egocentric 3D Human Pose Estimation.

Chenhongyi Yang, Anastasia Tkach, Shreyas Hampali, Linguang Zhang, Elliot J. Crowley, Cem Keskin

CoRR, 2024

PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition.

Chenhongyi Yang, Zehui Chen, Miguel Espinosa, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley

CoRR, 2024

WidthFormer: Toward Efficient Transformer-based BEV View Transformation.

Chenhongyi Yang, Tianwei Lin, Lichao Huang, Elliot J. Crowley

CoRR, 2024

Plug and Play Active Learning for Object Detection.

Chenhongyi Yang, Lichao Huang, Elliot J. Crowley

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack.

Perry Gibson, José Cano, Elliot J. Crowley, Amos J. Storkey, Michael F. P. O'Boyle

CoRR, 2023

Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps.

Miguel Espinosa, Elliot J. Crowley

CoRR, 2023

GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation.

Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Prediction-Guided Distillation for Dense Object Detection.

Chenhongyi Yang, Mateusz Ochal, Amos J. Storkey, Elliot J. Crowley

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning.

Chenhongyi Yang, Lichao Huang, Elliot J. Crowley

CoRR, 2021

Substituting Convolutions for Neural Network Compression.

Elliot J. Crowley, Gavin Gray, Jack Turner, Amos J. Storkey

IEEE Access, 2021

Neural Architecture Search without Training.

Joe Mellor, Jack Turner, Amos J. Storkey, Elliot J. Crowley

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Neural Architecture Search without Training.

Joseph Charles Mellor, Jack Turner, Amos J. Storkey, Elliot J. Crowley

CoRR, 2020

Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels.

Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget.

Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey, Gavin Gray

Proceedings of the 8th International Conference on Learning Representations, 2020

Optimizing Grouped Convolutions on Edge Devices.

Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey

Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020

2019

Deep Kernel Transfer in Gaussian Processes for Few-shot Learning.

Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Amos J. Storkey

CoRR, 2019

BlockSwap: Fisher-guided Block Substitution for Network Compression.

Jack Turner, Elliot J. Crowley, Gavin Gray, Amos J. Storkey, Michael F. P. O'Boyle

CoRR, 2019

Separable Layers Enable Structured Efficient Linear Substitutions.

Gavin Gray, Elliot J. Crowley, Amos J. Storkey

CoRR, 2019

Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs.

Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos J. Storkey, Michael F. P. O'Boyle

Proceedings of the IEEE International Symposium on Workload Characterization, 2019

2018

Dilated DenseNets for Relational Reasoning.

Antreas Antoniou, Agnieszka Slowik, Elliot J. Crowley, Amos J. Storkey

CoRR, 2018

HAKD: Hardware Aware Knowledge Distillation.

Jack Turner, Elliot J. Crowley, Valentin Radu, José Cano, Amos J. Storkey, Michael F. P. O'Boyle

CoRR, 2018

Pruning neural networks: is it time to nip it in the bud?

Elliot J. Crowley, Jack Turner, Amos J. Storkey, Michael F. P. O'Boyle

CoRR, 2018

CINIC-10 is not ImageNet or CIFAR-10.

Luke Nicholas Darlow, Elliot J. Crowley, Antreas Antoniou, Amos J. Storkey

CoRR, 2018

Moonshine: Distilling with Cheap Convolutions.

Elliot J. Crowley, Gavin Gray, Amos J. Storkey

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks.

Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey

Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

2016

Visual recognition in art using machine learning.

Elliott Joseph Crowley

PhD thesis, 2016

The Art of Detection.

Elliot J. Crowley, Andrew Zisserman

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

Face Painting: querying art with photos.

Elliot J. Crowley, Omkar M. Parkhi, Andrew Zisserman

Proceedings of the British Machine Vision Conference 2015, 2015

2014

In Search of Art.

Elliot J. Crowley, Andrew Zisserman

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

The State of the Art: Object Retrieval in Paintings using Discriminative Regions.

Elliot Crowley, Andrew Zisserman

Proceedings of the British Machine Vision Conference, 2014

2013

Of Gods and Goats: Weakly Supervised Learning of Figurative Art.

Elliot Crowley, Andrew Zisserman

Proceedings of the British Machine Vision Conference, 2013