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Stanislav Pidhorskyi
Stanislav Pidhorskyi
Reality Labs, Meta
Verified email at meta.com - Homepage
Title
Cited by
Cited by
Year
Generative probabilistic novelty detection with adversarial autoencoders
S Pidhorskyi, R Almohsen, G Doretto
Advances in neural information processing systems 31, 2018
4202018
Adversarial latent autoencoders
S Pidhorskyi, DA Adjeroh, G Doretto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
3142020
syGlass: Interactive exploration of multidimensional images using virtual reality head-mounted displays
S Pidhorskyi, M Morehead, Q Jones, G Spirou, G Doretto
arXiv preprint arXiv:1804.08197, 2018
332018
URhand: Universal relightable hands
Z Chen, G Moon, K Guo, C Cao, S Pidhorskyi, T Simon, R Joshi, Y Dong, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
82024
Depth of field aware differentiable rendering
S Pidhorskyi, T Bagautdinov, S Ma, J Saragih, G Schwartz, Y Sheikh, ...
ACM Transactions on Graphics (TOG) 41 (6), 1-18, 2022
72022
Распределение температуры в активном слое оксидного катода при непрерывном и импульсном токоотборах
АП Кислицын, СЮ Подгорский, АА Таран
ХАИ, 2012
42012
Feasibility and acceptability of guided imagery to sequentially address multiple health behaviors during pregnancy
P Giacobbi Jr, D Symons Downs, T Haggerty, S Pidhorskyi, DL Long, ...
Journal of midwifery & women's health 66 (5), 664-670, 2021
32021
Deep supervised hashing with spherical embedding
S Pidhorskyi, Q Jones, S Motiian, D Adjeroh, G Doretto
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
32019
Rasterized Edge Gradients: Handling Discontinuities Differentiably
S Pidhorskyi, T Simon, G Schwartz, H Wen, Y Sheikh, J Saragih
European Conference on Computer Vision, 335-352, 2025
12025
LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space
E Aksan, S Ma, A Caliskan, S Pidhorskyi, A Richard, SE Wei, J Saragih, ...
European Conference on Computer Vision, 92-110, 2022
12022
Unsupervised Learning of Paired Style Statistics for Unpaired Image Translation.
S Motiian, Q Jones, S Pidhorskyi, G Doretto
CVPR Workshops, 112-121, 2019
12019
The Lips, the Teeth, the tip of the Tongue: LTT Tracking
F Rasras, S Pidhorskyi, T Simon, H Paz, H Wen, J Saragih, J Romero
SIGGRAPH Asia 2024 Conference Papers, 1-11, 2024
2024
syGlass software: Applying immersive virtual reality to visualising and educating 3D reality
L Marshall, N Spencer, Q Wang, S Spirou, D Scatterday, J Mora, C Korea, ...
JOURNAL OF ANATOMY 239 (4), 934-934, 2021
2021
Representation Learning with Adversarial Latent Autoencoders
S Pidhorskyi
West Virginia University, 2020
2020
Evaluation of Guided Imagery Delivered Through a Mobile Health Application to Address Multiple Health Behaviors With Pregnant Women
P Giacobbi, T Haggerty, S Pidhorskyi, D Symons-Downs, DL Long, ...
APHA's 2019 Annual Meeting and Expo (Nov. 2-Nov. 6), 2019
2019
Open-set Recognition with Adversarial Autoencoders
R Almohsen, S Pidhorskyi, G Doretto
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