Luke Melas-Kyriazi
I'm a Rhodes Scholar and PhD student at Oxford University. My research spans machine learning, computer vision, and natural language processing. I am lucky to be advised by Professor Andrea Vedaldi in the Visual Geometry Group (VGG). I'm always interested in meeting new people and hearing about potential collaborations. If you'd like to get in touch with me, please email me at lukemk [at] robots [dot] ox [dot] ac [dot] uk.
~ News ~
- • One computer vision paper (↗) accepted to ICML 2024
- • Two computer vision papers (↗,↗) accepted to CVPR 2024
- • One NLP paper (↗) accepted to ICLR 2024 (as a Spotlight!)
- • Two computer vision papers (↗,↗) accepted to CVPR 2023 (one as a Spotlight!)
- • Started working as a Visiting Researcher at Meta Research (formerly Facebook AI Research) part-time while completing my PhD
- • One dataset paper accepted at NeurIPS 2023, and one CV paper at a NeurIPS Workshop
- • One NLP paper accepted at ACL Findings 2023, and one ML paper at an ACL Workshop
- • One computer vision paper accepted at CVPR 2022 (as an Oral!)
- • One NLP paper accepted at EMNLP 2022 (as an Oral!)
- • One computer vision paper accepted at ICLR 2022
- • One computer vision paper accepted at CVPR 2021
- • One medical ML paper accepted in the Journal of Aging (featured on the cover!)
- • Started PhD at Oxford under Professor Andrea Vedaldi
- • Submitted Bachelor's Thesis and graduated from Harvard!
- • One computer vision paper accepted at CVPR 2020
- • My first paper accepted at EMNLP 2019 (an extended project for CS 287)
~ Publications ~
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation
L Melas-Kyriazi, I Laina, C Rupprecht, N Neverova, A Vedaldi, O Gafni, F Kokkinos
ICML 2024
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering
A Hamdi, L Melas-Kyriazi, G Qian, J Mai, R Liu, C Vondrick, B Ghanem, A Vedaldi
CVPR 2024
A Benchmark for Learning to Translate a New Language from One Grammar Book
G Tanzer, M Suzgun, E Visser, D Jurafsky, L Melas-Kyriazi
ICLR 2024 (Spotlight)
RealFusion: 360-Degree Reconstruction of Any Object from a Single Image
L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi
CVPR 2023
PC^2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction
L Melas-Kyriazi, C Rupprecht, A Vedaldi
CVPR 2023 (Highlight)
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
M Suzgun, L Melas-Kyriazi, S Sarkar, SD Kominers, S Shieber
NeurIPS 2023 - Datasets and Benchmarks (Spotlight)
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation
P Engstler*, L Melas-Kyriazi*, C Rupprecht, I Laina
NeurIPS 2023 - Workshop on Self-Supervised Learning
Augmenting Medical Image Classifiers with Synthetic Data from Latent Diffusion Models
LW Sagers*, JA Diao*, L Melas-Kyriazi*, M Groh, P Rajpurkar, AS Adamson, V Rotemberg, R Daneshjou, AK Manrai
In Submission
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding
M Suzgun, L Melas-Kyriazi, D Jurafsky
ACL Findings 2023
Intrinsic Gradient Compression for Scalable and Efficient Federated Learning
L Melas-Kyriazi*, F Wang*
ACL 2023 - Workshop on Federated Learning for NLP
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models
M Suzgun, L Melas-Kyriazi, D Jurafsky
EMNLP 2022 (Oral)
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi
CVPR 2022 (Oral)
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models
L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi
ICLR 2022
Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet
L Melas-Kyriazi
arXiv
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
L Melas-Kyriazi, AK Manrai
CVPR 2021
Show, Edit and Tell: A Framework for Editing Image Captions
F Sammani*, L Melas-Kyriazi*
CVPR 2020
Prediction of Chronological and Biological Age from Laboratory Data
L Sagers, L Melas-Kyriazi, CJ Patel, AK Manrai
Journal on Aging, 2020
Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings
L Melas-Kyriazi, G Han, C Liang
EMNLP 2019 - Workshop on Deep Learning for Low-Resource NLP
Encoder-Agnostic Adaptation for Conditional Language Generation
ZM Ziegler, L Melas-Kyriazi, S Gehrmann, AM Rush
arXiv
Training for Diversity in Image Paragraph Captioning
L Melas-Kyriazi, G Han, AM Rush
EMNLP 2018