Natalia Khanzhina

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Dempster Shafer

Object Detection

Top Venues

Publications

Natalia Khanzhina, Maxim Kashirin, Andrey Filchenkov
New Bayesian Focal Loss Targeting Aleatoric Uncertainty Estimate: Pollen Image Recognition. CVPR Workshops (2023)
Natalia Khanzhina, Andrey Filchenkov, Natalia Minaeva, Larisa Novoselova, Maxim V. Petukhov, Irina Kharisova, Julia Pinaeva, Georgiy Zamorin, Evgeny Putin, Elena Zamyatina, Anatoly Shalyto
Combating data incompetence in pollen images detection and classification for pollinosis prevention. Comput. Biol. Medicine 140 (2022)
Alexander Semiletov, Aleksandra Vatian, Maksim Krychkov, Natalia Khanzhina, Anton Klochkov, Aleksey Zubanenko, Roman Soldatov, Anatoly Shalyto, Natalia F. Gusarova
Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks. ICCS (3) (2021)
Natalia Khanzhina, Alexey Lapenok, Andrey Filchenkov
Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling. CoRR (2021)
Dmitry Krylov, Semen Poliakov, Natalia Khanzhina, Alexey Zabashta, Andrey Filchenkov, Aleksandr Farseev
Improving Multimodal Data Labeling with Deep Active Learning for Post Classification in Social Networks. MULL @ ACM Multimedia (2021)
Natalia Khanzhina, Maxim Kashirin, Andrey Filchenkov
Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumor Segmentation. UNSURE/PIPPI@MICCAI (2021)
Natalia Khanzhina, Ilya Osmakov
CT images GAN-based augmentation with AdaIN for lung nodules detection. ICMV (2020)
Natalia Khanzhina, Natalia Slepkova, Andrey Filchenkov
Synthetic images generation for text detection and recognition in the wild. ICMV (2019)
Natalia Khanzhina, Evgeny Putin, Andrey Filchenkov, Elena Zamyatina
Pollen grain recognition using convolutional neural network. ESANN (2018)