Vladimir Iglovikov

According to our database, Vladimir Iglovikov authored at least 19 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

TernausNet.

Vladimir I. Iglovikov, Alexey A. Shvets

Proceedings of the Computer-Aided Analysis of Gastrointestinal Videos, 2021

2020

Albumentations: Fast and Flexible Image Augmentations.

Alexander Buslaev, Vladimir I. Iglovikov, Eugene Khvedchenya, Alex Parinov, Mikhail Druzhinin, Alexandr A. Kalinin

Inf., 2020

One Thousand and One Hours: Self-driving Motion Prediction Dataset.

John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye, Ashesh Jain, Sammy Omari, Vladimir Iglovikov, Peter Ondruska

CoRR, 2020

2018 Robotic Scene Segmentation Challenge.

Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado, Evangello Flouty, Ahmed Kedir Mohammed, Marius Pedersen, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel

CoRR, 2020

One Thousand and One Hours: Self-driving Motion Prediction Dataset.

John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye, Long Chen, Ashesh Jain, Sammy Omari, Vladimir Iglovikov, Peter Ondruska

Proceedings of the 4th Conference on Robot Learning, 2020

2019

2017 Robotic Instrument Segmentation Challenge.

Max Allan, Alexey Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, Luis C. García-Peraza, Wenqi Li, Vladimir Iglovikov, Huoling Luo, Jian Yang, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel, Mahdi Azizian

CoRR, 2019

Breast Tumor Cellularity Assessment Using Deep Neural Networks.

Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets, Alexandr A. Kalinin, Vladimir I. Iglovikov, Sergey I. Nikolenko

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Albumentations: fast and flexible image augmentations.

Alexander V. Buslaev, Alex Parinov, Eugene Khvedchenya, Vladimir I. Iglovikov, Alexandr A. Kalinin

CoRR, 2018

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation.

Vladimir Iglovikov, Alexey Shvets

CoRR, 2018

Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks.

Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey A. Shvets

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning.

Alexey A. Shvets, Alexander Rakhlin, Alexandr A. Kalinin, Vladimir I. Iglovikov

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks.

Alexey A. Shvets, Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis.

Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Feature Pyramid Network for Multi-Class Land Segmentation.

Selim S. Seferbekov, Vladimir Iglovikov, Alexander Buslaev, Alexey Shvets

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

TernausNetV2: Fully Convolutional Network for Instance Segmentation.

Vladimir Iglovikov, Selim S. Seferbekov, Alexander Buslaev, Alexey Shvets

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Fully Convolutional Network for Automatic Road Extraction From Satellite Imagery.

Alexander Buslaev, Selim S. Seferbekov, Vladimir Iglovikov, Alexey Shvets

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Camera Model Identification Using Convolutional Neural Networks.

Artur Kuzin, Artur Fattakhov, Ilya Kibardin, Vladimir I. Iglovikov, Ruslan Dautov

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks.

Vladimir Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey Shvets

CoRR, 2017

Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition.

Vladimir Iglovikov, Sergey Mushinskiy, Vladimir Osin

CoRR, 2017