Of Gods and Goats: Weakly Supervised Learning of Figurative Art. - Elliot Crowley; Andrew Zisserman (BMVC, 2013)

The State of the Art: Object Retrieval in Paintings using Discriminative Regions. - Elliot Crowley; Andrew Zisserman (BMVC, 2014)

In Search of Art. - Elliot J. Crowley; Andrew Zisserman (ECCV Workshops (1), 2014)

Face Painting: querying art with photos. - Elliot J. Crowley; Omkar M. Parkhi; Andrew Zisserman (BMVC, 2015)

The Art of Detection. - Elliot J. Crowley; Andrew Zisserman (ECCV Workshops (1), 2016)

Visual recognition in art using machine learning. - Elliott Joseph Crowley (2016)

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. - Jack Turner; José Cano 001; Valentin Radu; Elliot J. Crowley; Michael F. P. O'Boyle; Amos J. Storkey (IISWC, 2018)

Moonshine: Distilling with Cheap Convolutions. - Elliot J. Crowley; Gavin Gray; Amos J. Storkey (NeurIPS, 2018)

CINIC-10 is not ImageNet or CIFAR-10. - Luke Nicholas Darlow; Elliot J. Crowley; Antreas Antoniou; Amos J. Storkey (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)

HAKD: Hardware Aware Knowledge Distillation. - Jack Turner; Elliot J. Crowley; Valentin Radu; José Cano 001; Amos J. Storkey; Michael F. P. O'Boyle (CoRR, 2018)

Dilated DenseNets for Relational Reasoning. - Antreas Antoniou; Agnieszka Slowik; Elliot J. Crowley; Amos J. Storkey (CoRR, 2018)

Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. - Valentin Radu; Kuba Kaszyk; Yuan Wen; Jack Turner; José Cano 001; Elliot J. Crowley; Björn Franke; Amos J. Storkey; Michael F. P. O'Boyle (IISWC, 2019)

Separable Layers Enable Structured Efficient Linear Substitutions. - Gavin Gray; 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)

Deep Kernel Transfer in Gaussian Processes for Few-shot Learning. - Massimiliano Patacchiola; Jack Turner; Elliot J. Crowley; Amos J. Storkey (CoRR, 2019)

Optimizing Grouped Convolutions on Edge Devices. - Perry Gibson; José Cano 001; Jack Turner; Elliot J. Crowley; Michael F. P. O'Boyle; Amos J. Storkey (ASAP, 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 (ICLR, 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 (NeurIPS, 2020)

Neural Architecture Search without Training. - Joseph Charles Mellor; Jack Turner; Amos J. Storkey; Elliot J. Crowley (CoRR, 2020)

Neural Architecture Search without Training. - Joe Mellor; Jack Turner; Amos J. Storkey; Elliot J. Crowley (ICML, 2021)

Substituting Convolutions for Neural Network Compression. - Elliot J. Crowley; Gavin Gray; Jack Turner; Amos J. Storkey (IEEE Access, 2021)

Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning. - Chenhongyi Yang; Lichao Huang; Elliot J. Crowley (CoRR, 2021)

Prediction-Guided Distillation for Dense Object Detection. - Chenhongyi Yang; Mateusz Ochal; Amos J. Storkey; Elliot J. Crowley (ECCV (9), 2022)

GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation. - Chenhongyi Yang; Jiarui Xu; Shalini De Mello; Elliot J. Crowley; Xiaolong Wang 004 (ICLR, 2023)

Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps. - Miguel Espinosa; Elliot J. Crowley (CoRR, 2023)

DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack. - Perry Gibson; José Cano 001; Elliot J. Crowley; Amos J. Storkey; Michael F. P. O'Boyle (CoRR, 2023)

PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition. - Chenhongyi Yang; Zehui Chen; Miguel Espinosa; Linus Ericsson; Zhenyu Wang; Jiaming Liu; Elliot J. Crowley (BMVC, 2024)

Plug and Play Active Learning for Object Detection. - Chenhongyi Yang; Lichao Huang; Elliot J. Crowley (CVPR, 2024)

EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation. - Chenhongyi Yang; Anastasia Tkach; Shreyas Hampali; Linguang Zhang; Elliot J. Crowley; Cem Keskin (ECCV (55), 2024)

WidthFormer: Toward Efficient Transformer-based BEV View Transformation. - Chenhongyi Yang; Tianwei Lin; Lichao Huang; Elliot J. Crowley (IROS, 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 (NeurIPS, 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)

Hyperparameter Selection in Continual Learning. - Thomas L. Lee; Sigrid Passano Hellan; Linus Ericsson; Elliot J. Crowley; Amos J. Storkey (CoRR, 2024)

There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks. - Miguel Espinosa; Chenhongyi Yang; Linus Ericsson; Steven McDonagh; Elliot J. Crowley (CoRR, 2024)

Neural Architecture Search as Program Transformation Exploration. - Jack Turner; Elliot J. Crowley; Michael F. P. O'Boyle (Commun. ACM, 2024)

COP-GEN-Beta: Unified Generative Modelling of COPernicus Imagery Thumbnails. - Miguel Espinosa; Valerio Marsocci; Yuru Jia; Elliot Crowley; Mikolaj Czerkawski (CVPR Workshops, 2025)

DLAS: A Conceptual Model for Across-Stack Deep Learning Acceleration. - Perry Gibson; José Cano 001; Elliot Crowley; Amos J. Storkey; Michael F. P. O'Boyle (ACM Trans. Archit. Code Optim., 2025)

Transferrable Surrogates in Expressive Neural Architecture Search Spaces. - Shiwen Qin; Gabriela Kadlecová; Martin Pilát; Shay B. Cohen; Roman Neruda; Elliot J. Crowley; Jovita Lukasik; Linus Ericsson (CoRR, 2025)

No time to train! Training-Free Reference-Based Instance Segmentation. - Miguel Espinosa; Chenhongyi Yang; Linus Ericsson; Steven McDonagh; Elliot J. Crowley (CoRR, 2025)