Luke Melas-Kyriazi

According to our database, Luke Melas-Kyriazi authored at least 23 papers between 2018 and 2024.

Collaborative distances:

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

2024

DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transfer.

Runjia Li, Junlin Han, Luke Melas-Kyriazi, Chunyi Sun, Zhaochong An, Zhongrui Gui, Shuyang Sun, Philip Torr, Tomas Jakab

CoRR, 2024

Modeling Real-Time Interactive Conversations as Timed Diarized Transcripts.

Garrett Tanzer, Gustaf Ahdritz, Luke Melas-Kyriazi

CoRR, 2024

IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation.

Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Benchmark for Learning to Translate a New Language from One Grammar Book.

Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering.

Abdullah Hamdi, Luke Melas-Kyriazi, Jinjie Mai, Guocheng Qian, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi

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

Fixed Point Diffusion Models.

Xingjian Bai, Luke Melas-Kyriazi

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

2023

Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation.

Paul Engstler, Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina

CoRR, 2023

Augmenting medical image classifiers with synthetic data from latent diffusion models.

Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai

CoRR, 2023

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications.

Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RealFusion 360° Reconstruction of Any Object from a Single Image.

Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Andrea Vedaldi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PC²: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction.

Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding.

Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Finding an Unsupervised Image Segmenter in each of your Deep Generative Models.

Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi

Proceedings of the Tenth International Conference on Learning Representations, 2022

Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models.

Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization.

Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Intrinisic Gradient Compression for Federated Learning.

Luke Melas-Kyriazi, Franklyn Wang

CoRR, 2021

Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet.

Luke Melas-Kyriazi

CoRR, 2021

PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training.

Luke Melas-Kyriazi, Arjun K. Manrai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

The Mathematical Foundations of Manifold Learning.

Luke Melas-Kyriazi

CoRR, 2020

Show, Edit and Tell: A Framework for Editing Image Captions.

Fawaz Sammani, Luke Melas-Kyriazi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Encoder-Agnostic Adaptation for Conditional Language Generation.

Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann, Alexander M. Rush

CoRR, 2019

Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings.

Luke Melas-Kyriazi, George Han, Celine Liang

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018

Training for Diversity in Image Paragraph Captioning.

Luke Melas-Kyriazi, Alexander M. Rush, George Han

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018