Elena Sizikova
Cited by
Cited by
Frnakenstein: multiple target inverse RNA folding
RB Lyngsř, JWJ Anderson, E Sizikova, A Badugu, T Hyland, J Hein
BMC bioinformatics 13 (1), 1-12, 2012
Enhancing place recognition using joint intensity-depth analysis and synthetic data
E Sizikova, VK Singh, B Georgescu, M Halber, K Ma, T Chen
European Conference on Computer Vision, 901-908, 2016
TRAPP webserver: predicting protein binding site flexibility and detecting transient binding pockets
A Stank, DB Kokh, M Horn, E Sizikova, R Neil, J Panecka, S Richter, ...
Nucleic acids research 45 (W1), W325-W330, 2017
IsoMatch: Creating informative grid layouts
O Fried, S DiVerdi, M Halber, E Sizikova, A Finkelstein
Computer graphics forum 34 (2), 155-166, 2015
Wall painting reconstruction using a genetic algorithm
E Sizikova, T Funkhouser
Journal on Computing and Cultural Heritage (JOCCH) 11 (1), 1-17, 2017
Structure-aware shape synthesis
E Balashova, V Singh, J Wang, B Teixeira, T Chen, T Funkhouser
2018 International Conference on 3D Vision (3DV), 140-149, 2018
Skelneton 2019: Dataset and challenge on deep learning for geometric shape understanding
I Demir, C Hahn, K Leonard, G Morin, D Rahbani, A Panotopoulou, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Generating synthetic x-ray images of a person from the surface geometry
B Teixeira, V Singh, T Chen, K Ma, B Tamersoy, Y Wu, E Balashova, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Learning A Stroke‐Based Representation for Fonts
E Balashova, AH Bermano, VG Kim, S DiVerdi, A Hertzmann, ...
Computer Graphics Forum 38 (1), 429-442, 2019
On large-scale dynamic topic modeling with nonnegative cp tensor decomposition
M Ahn, N Eikmeier, J Haddock, L Kassab, A Kryshchenko, K Leonard, ...
arXiv preprint arXiv:2001.00631, 2020
Learning to infer semantic parameters for 3D shape editing
F Wei, E Sizikova, A Sud, S Rusinkiewicz, T Funkhouser
2020 International Conference on 3D Vision (3DV), 434-442, 2020
Anytime prediction as a model of human reaction time
O Kumbhar, E Sizikova, N Majaj, DG Pelli
arXiv preprint arXiv:2011.12859, 2020
WiCV 2019: The Sixth Women In Computer Vision Workshop
I Amerini, E Balashova, S Ebrahimi, K Leonard, A Nagrani, A Salvador
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Automatically Assembling Frescos from Noisy Pairwise Fragment Measurements
E Sizikova, T Funkhouser
Computer Applications and Quantitative Methods in Archaeology, 0
SATBench: A Benchmark of the Human Speed-Accuracy Tradeoff in Recognizing Objects
A Subramanian, E Sizikova, O Kumbhar, NJ Majaj, D Pelli
Large-Scale Unsupervised Object Discovery
HV Vo, E Sizikova, C Schmid, P Pérez, J Ponce
arXiv preprint arXiv:2106.06650, 2021
Using Dynamic Neural Networks to Model the Speed-Accuracy Trade-Off in People
A Subramanian, O Kumbhar, E Sizikova, NJ Majaj, D Pelli
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning
T Chu, X Li, HV Vo, RM Summers, E Sizikova
Medical Imaging with Deep Learning, 2021
Comparing Word Recognition by Humans and Deep Neural Networks
E Sizikova, C Long, O Kumbhar, N Majaj, D Pelli
Journal of Vision 20 (11), 1489-1489, 2020
Semi-supervised NMF Models for Topic Modeling in Learning Tasks
J Haddock, L Kassab, S Li, A Kryshchenko, R Grotheer, E Sizikova, ...
arXiv preprint arXiv:2010.07956, 2020
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