Elliot J. Crowley

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 36

Top Topics

Image Generation

Neural Architecture

High Resolution Color

Top Venues

ECCV Workshops (1)

Publications

Chenhongyi Yang, Anastasia Tkach, Shreyas Hampali, Linguang Zhang, Elliot J. Crowley, Cem Keskin
EgoPoseFormer: A Simple Baseline for Egocentric 3D Human Pose Estimation. CoRR (2024)
Thomas L. Lee, Sigrid Passano Hellan, Linus Ericsson, Elliot J. Crowley, Amos J. Storkey
Hyperparameter Selection in Continual Learning. CoRR (2024)
Chenhongyi Yang, Zehui Chen, Miguel Espinosa, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley
PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition. CoRR (2024)
Chenhongyi Yang, Tianwei Lin, Lichao Huang, Elliot J. Crowley
WidthFormer: Toward Efficient Transformer-based BEV View Transformation. CoRR (2024)
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 (2024)
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 (2023)
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)
Miguel Espinosa, Elliot J. Crowley
Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps. CoRR (2023)
Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation. CoRR (2022)
Chenhongyi Yang, Mateusz Ochal, Amos J. Storkey, Elliot J. Crowley
Prediction-Guided Distillation for Dense Object Detection. CoRR (2022)
Chenhongyi Yang, Lichao Huang, Elliot J. Crowley
Plug and Play Active Learning for Object Detection. CoRR (2022)
Chenhongyi Yang, Mateusz Ochal, Amos J. Storkey, Elliot J. Crowley
Prediction-Guided Distillation for Dense Object Detection. ECCV (9) (2022)
Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle
Neural Architecture Search as Program Transformation Exploration. CoRR (2021)
Chenhongyi Yang, Lichao Huang, Elliot J. Crowley
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning. CoRR (2021)
Elliot J. Crowley, Gavin Gray, Jack Turner, Amos J. Storkey
Substituting Convolutions for Neural Network Compression. IEEE Access 9 (2021)
Joe Mellor, Jack Turner, Amos J. Storkey, Elliot J. Crowley
Neural Architecture Search without Training. ICML (2021)
Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle
Neural architecture search as program transformation exploration. ASPLOS (2021)
Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos J. Storkey, Michael F. P. O'Boyle
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. CoRR (2020)
Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey
Optimizing Grouped Convolutions on Edge Devices. ASAP (2020)
Joseph Charles Mellor, Jack Turner, Amos J. Storkey, Elliot J. Crowley
Neural Architecture Search without Training. CoRR (2020)
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)
Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey
Optimizing Grouped Convolutions on Edge Devices. CoRR (2020)
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)
Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos J. Storkey, Michael F. P. O'Boyle
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. IISWC (2019)
Jack Turner, Elliot J. Crowley, Gavin Gray, Amos J. Storkey, Michael F. P. O'Boyle
BlockSwap: Fisher-guided Block Substitution for Network Compression. CoRR (2019)
Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Amos J. Storkey
Deep Kernel Transfer in Gaussian Processes for Few-shot Learning. CoRR (2019)
Gavin Gray, Elliot J. Crowley, Amos J. Storkey
Separable Layers Enable Structured Efficient Linear Substitutions. CoRR (2019)
Elliot J. Crowley, Gavin Gray, Amos J. Storkey
Moonshine: Distilling with Cheap Convolutions. NeurIPS (2018)
Luke Nicholas Darlow, Elliot J. Crowley, Antreas Antoniou, Amos J. Storkey
CINIC-10 is not ImageNet or CIFAR-10. CoRR (2018)
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 (2018)
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. IISWC (2018)
Antreas Antoniou, Agnieszka Slowik, Elliot J. Crowley, Amos J. Storkey
Dilated DenseNets for Relational Reasoning. CoRR (2018)
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 (2018)
Jack Turner, Elliot J. Crowley, Valentin Radu, José Cano, Amos J. Storkey, Michael F. P. O'Boyle
HAKD: Hardware Aware Knowledge Distillation. CoRR (2018)
Elliot J. Crowley, Gavin Gray, Amos J. Storkey
Moonshine: Distilling with Cheap Convolutions. CoRR (2017)
Elliot J. Crowley, Andrew Zisserman
The Art of Detection. ECCV Workshops (1) (2016)
Elliot J. Crowley, Omkar M. Parkhi, Andrew Zisserman
Face Painting: querying art with photos. BMVC (2015)
Elliot J. Crowley, Andrew Zisserman
In Search of Art. ECCV Workshops (1) (2014)