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ORCIDLuke Melas-Kyriazi
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2020 – today
- 2024
[c15]Xingjian Bai, Luke Melas-Kyriazi:
Fixed Point Diffusion Models. CVPR 2024: 9430-9440- [c14]Abdullah Hamdi, Luke Melas-Kyriazi, Jinjie Mai, Guocheng Qian, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi:
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. CVPR 2024: 19812-19822 - [c13]Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi:
A Benchmark for Learning to Translate a New Language from One Grammar Book. ICLR 2024 - [c12]Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos:
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. ICML 2024 - [i22]Xingjian Bai, Luke Melas-Kyriazi:
Fixed Point Diffusion Models. CoRR abs/2401.08741 (2024) - [i21]Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos:
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. CoRR abs/2402.08682 (2024) - [i20]Abdullah Hamdi, Luke Melas-Kyriazi, Guocheng Qian, Jinjie Mai, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi:
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. CoRR abs/2402.10128 (2024) - [i19]Garrett Tanzer, Gustaf Ahdritz, Luke Melas-Kyriazi:
Modeling Real-Time Interactive Conversations as Timed Diarized Transcripts. CoRR abs/2405.13203 (2024) - [i18]Runjia Li, Junlin Han, Luke Melas-Kyriazi, Chunyi Sun, Zhaochong An, Zhongrui Gui, Shuyang Sun, Philip Torr, Tomas Jakab:
DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transfer. CoRR abs/2409.08271 (2024) - 2023
- [c11]Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky:
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. ACL (Findings) 2023: 4265-4293 - [c10]Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
RealFusion 360° Reconstruction of Any Object from a Single Image. CVPR 2023: 8446-8455 - [c9]Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi:
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. CVPR 2023: 12923-12932 - [c8]Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber:
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications. NeurIPS 2023 - [i17]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
RealFusion: 360° Reconstruction of Any Object from a Single Image. CoRR abs/2302.10663 (2023) - [i16]Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi:
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. CoRR abs/2302.10668 (2023) - [i15]Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh
, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai:
Augmenting medical image classifiers with synthetic data from latent diffusion models. CoRR abs/2308.12453 (2023) - [i14]Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi:
A Benchmark for Learning to Translate a New Language from One Grammar Book. CoRR abs/2309.16575 (2023) - [i13]Paul Engstler, Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina:
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation. CoRR abs/2311.14665 (2023) - 2022
- [c7]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CVPR 2022: 8354-8365 - [c6]Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky:
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. EMNLP 2022: 2195-2222 - [c5]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models. ICLR 2022 - [i12]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CoRR abs/2205.07839 (2022) - [i11]Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky:
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. CoRR abs/2205.11503 (2022) - [i10]Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber:
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications. CoRR abs/2207.04043 (2022) - [i9]Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky:
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. CoRR abs/2211.07634 (2022) - 2021
- [c4]Luke Melas-Kyriazi, Arjun K. Manrai:
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training. CVPR 2021: 12435-12445 - [i8]Luke Melas-Kyriazi:
Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet. CoRR abs/2105.02723 (2021) - [i7]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models. CoRR abs/2105.08127 (2021) - [i6]Luke Melas-Kyriazi, Arjun K. Manrai:
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training. CoRR abs/2105.08128 (2021) - [i5]Luke Melas-Kyriazi, Franklyn Wang:
Intrinisic Gradient Compression for Federated Learning. CoRR abs/2112.02656 (2021) - 2020
- [c3]Fawaz Sammani, Luke Melas-Kyriazi:
Show, Edit and Tell: A Framework for Editing Image Captions. CVPR 2020: 4807-4815 - [i4]Luke Melas-Kyriazi, George Han, Celine Liang:
Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings. CoRR abs/2002.00733 (2020) - [i3]Fawaz Sammani, Luke Melas-Kyriazi:
Show, Edit and Tell: A Framework for Editing Image Captions. CoRR abs/2003.03107 (2020) - [i2]Luke Melas-Kyriazi:
The Mathematical Foundations of Manifold Learning. CoRR abs/2011.01307 (2020)
2010 – 2019
- 2019
- [c2]Luke Melas-Kyriazi, George Han, Celine Liang:
Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings. DeepLo@EMNLP-IJCNLP 2019: 124-131 - [i1]Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann, Alexander M. Rush:
Encoder-Agnostic Adaptation for Conditional Language Generation. CoRR abs/1908.06938 (2019) - 2018
- [c1]Luke Melas-Kyriazi, Alexander M. Rush, George Han:
Training for Diversity in Image Paragraph Captioning. EMNLP 2018: 757-761
Coauthor Index
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last updated on 2024-10-14 23:29 CEST by the dblp team
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