Chris G. Willcocks

Orcid: 0000-0001-6821-3924

According to our database1, Chris G. Willcocks authored at least 33 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Online presence:

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Bibliography

2024
Self-Regulated Sample Diversity in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

∞-Diff: Infinite Resolution Diffusion with Subsampled Mollified States.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Dynamic Unary Convolution in Transformers.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Megapixel Image Generation with Step-Unrolled Denoising Autoencoders.
CoRR, 2022

Multi-view Vision Transformers for Object Detection.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes.
Proceedings of the Computer Vision - ECCV 2022, 2022

AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
The relationship between curvilinear structure enhancement and ridge detection methods.
Vis. Comput., 2021

UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models.
CoRR, 2021

Unsupervised Region-Based Anomaly Detection In Brain MRI With Adversarial Image Inpainting.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Gradient Origin Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Robust 3D U-Net Segmentation of Macular Holes.
Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021

2020
Real Time Fencing Move Classification and Detection at Touch Time during a Fencing Match.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Shape tracing: An extension of sphere tracing for 3D non-convex collision in protein docking.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

Segmentation of Macular Edema Datasets with Small Residual 3D U-Net Architectures.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
Sequential graph-based extraction of curvilinear structures.
Signal Image Video Process., 2019

Interactive GPU active contours for segmenting inhomogeneous objects.
J. Real Time Image Process., 2019

Learning protein conformational space by enforcing physics with convolutions and latent interpolations.
CoRR, 2019

2018
Multi-Scale Segmentation and Surface Fitting for Measuring 3-D Macular Holes.
IEEE Trans. Medical Imaging, 2018

Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery.
IEEE Trans. Inf. Forensics Secur., 2018

TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Extracting 3D Parametric Curves from 2D Images of Helical Objects.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

2013
Sparse volumetric deformation
PhD thesis, 2013

2012
Feature-varying skeletonization - Intuitive control over the target feature size and output skeleton topology.
Vis. Comput., 2012


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