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Alexander W. Bergman
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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
6442020
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
242020
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
122021
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
102020
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
62022
Optimal data shaping code design
Y Liu, P Huang, AW Bergman, PH Siegel
Proc. 9th Annu. Non-Volatile Memories Workshop (NVMW), 1-35, 2018
22018
Factorized Convolution Kernels in Image Processing
AW Bergman, DB Lindell
Stanford University: Stanford, CA, USA, 2019
12019
Generative Neural Articulated Radiance Fields
AW Bergman, P Kellnhofer, Y Wang, ER Chan, DB Lindell, G Wetzstein
arXiv preprint arXiv:2206.14314, 2022
2022
IEEE VR 2022 TVCG Special Issue
W Zhang, B Han, P Hui, W Li, H Huang, T Solomon, B Esmaeili, LF Yu, ...
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