Brian McWilliams - Concepedia

Author

Brian McWilliams

ETH Zurich ORCID

Also Known As

B. McWilliams, Brian McWilliams, Brian Mcwilliams, McWilliams, Brian, McWilliams, Brian Victor Parulian

Publications

4.1K

Citations

H-Index

103

Concepts

All Affiliations

ETH Zurich Walt Disney (United States)Google DeepMind (United Kingdom)Imperial College London University of Illinois Urbana-Champaign

About

Brian McWilliams is an author at ETH Zurich specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	23	3.7K
2	Business	3	3	41
3	Language Studies	2	2	64
4	Arts	1	1	11
5	Public Health	1	1	41

Brian McWilliams

Publications

3.8K

Citations

H-Index

Page 1

	Year	Citations
A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Scene AnalysisEngineeringMachine LearningNew Benchmark DatasetImage Sequence Analysis	2016	2K
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results Radu Timofte, Shuhang Gu, Jiqing Wu, Super-resolution ImagingMachine VisionImage AnalysisMedical ImagingNtire Challenge	2018	364
Kernel-predicting convolutional networks for denoising Monte Carlo renderings Steve Bako, Thijs Vogels, Brian McWilliams, ACM Transactions on Graphics Local Weighting KernelsConvolutional Neural NetworkMachine VisionMachine LearningData Science	2017	315
A Fully Progressive Approach to Single-Image Super-Resolution Yifan Wang, Federico Perazzi, Brian McWilliams, EngineeringMachine LearningNtire2018 Sisr ChallengeUpsampling FactorsSuper-resolution Imaging	2018	270
Denoising with kernel prediction and asymmetric loss functions Thijs Vogels, Fabrice Rousselle, Brian McWilliams, ACM Transactions on Graphics Convolutional Neural NetworkEngineeringMachine LearningImage AnalysisData Science	2018	178
The Shattered Gradients Problem: If resnets are the answer, then what is the question? David Balduzzi, Marcus Frean, Lennox Leary, arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkDeep Neural NetworksEngineeringMachine Learning	2017	107
Deep scattering Simon Kallweit, Thomas Müller, Brian McWilliams, ACM Transactions on Graphics	2017	78
Subspace clustering of high-dimensional data: a predictive approach Brian McWilliams, Giovanni Montana Data Mining and Knowledge Discovery EngineeringHigh-dimensional MethodData ScienceData MiningPattern Recognition	2013	77
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter Xinyang Zhang, Yury Malkov, Omar U. Florez, EngineeringCross-lingual RepresentationCommunicationMultilingual PretrainingSocial Network	2023	47
Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks Simon Kallweit, Thomas Müller, Brian McWilliams, arXiv (Cornell University)	2017	44

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