Alexander W. Bergman

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Gordon WetzsteinStanford University, Electrical Engineering DepartmentVerified email at stanford.edu
David LindellAssistant Professor, University of TorontoVerified email at cs.toronto.edu
Vincent SitzmannAssistant Professor at MIT CSAILVerified email at mit.edu
Julien N.P. MartelPostdoctoral Research Fellow, Computational Imaging Lab @ Stanford UniversityVerified email at stanford.edu
Petr KellnhoferTU DelftVerified email at tudelft.nl
Paul SiegelProfessor of Electrical and Computer Engineering, UC San DiegoVerified email at eng.ucsd.edu
Pengfei HuangWestern Digital CorporationVerified email at wdc.com
Eric Ryan ChanStanford UniversityVerified email at stanford.edu
Wang YifanPostdoc at Stanford UniversityVerified email at stanford.edu

Alexander W. Bergman

Verified email at stanford.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Implicit neural representations with periodic activation functions V Sitzmann, J Martel, A Bergman, D Lindell, G Wetzstein Advances in Neural Information Processing Systems 33, 7462-7473, 2020	928	2020
Deep adaptive lidar: End-to-end optimization of sampling and depth completion at low sampling rates AW Bergman, DB Lindell, G Wetzstein 2020 IEEE international conference on computational photography (ICCP), 1-11, 2020	31	2020
Fast training of neural lumigraph representations using meta learning A Bergman, P Kellnhofer, G Wetzstein Advances in Neural Information Processing Systems 34, 172-186, 2021	25	2021
Generative neural articulated radiance fields AW Bergman, P Kellnhofer, Y Wang, ER Chan, DB Lindell, G Wetzstein arXiv preprint arXiv:2206.14314, 2022	12	2022
Scangan360: A generative model of realistic scanpaths for 360 images D Martin, A Serrano, AW Bergman, G Wetzstein, B Masia IEEE Transactions on Visualization and Computer Graphics 28 (5), 2003-2013, 2022	11	2022
Rate-constrained shaping codes for structured sources Y Liu, P Huang, AW Bergman, PH Siegel IEEE Transactions on Information Theory 66 (8), 5261-5281, 2020	11	2020
Optimal data shaping code design Y Liu, P Huang, AW Bergman, PH Siegel Proc. 9th Annu. Non-Volatile Memories Workshop (NVMW), 1-35, 2018	2	2018
Factorized Convolution Kernels in Image Processing AW Bergman, DB Lindell Stanford University: Stanford, CA, USA, 2019	1	2019

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