Roman Solovyev

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All published works

Action	Title	Year	Authors
+	The Sound Demixing Challenge 2023 – Music Demixing Track	2024	Giorgio Fabbro Stefan Uhlich Chieh-Hsin Lai Woosung Choi Marco A. Martínez-Ramírez Weihsiang Liao Igor Gadelha Geraldo André Raposo Ramos Eddie Hsu Hugo Rodrigues
+	Benchmarks and leaderboards for sound demixing tasks	2023	Roman Solovyev Alexander Stempkovskiy Tatiana Habruseva
+	The Sound Demixing Challenge 2023 $\unicode{x2013}$ Cinematic Demixing Track	2023	Stefan Uhlich Giorgio Fabbro Masato Hirano Shusuke Takahashi Gordon Wichern Jonathan Le Roux Dipam Chakraborty Sharada P. Mohanty Kai Li Yi Luo
+	The Sound Demixing Challenge 2023 $\unicode{x2013}$ Music Demixing Track	2023	Giorgio Fabbro Stefan Uhlich Chieh-Hsin Lai Woosung Choi Marco A. Martínez-Ramírez Weihsiang Liao Igor Gadelha Geraldo André Raposo Ramos Eddie Hsu Hugo Rodrigues
+ PDF Chat	3D convolutional neural networks for stalled brain capillary detection	2021	Roman Solovyev Alexandr A. Kalinin Tatiana Gabruseva
+	3D Convolutional Neural Networks for Stalled Brain Capillary Detection	2021	Roman Solovyev Alexandr A. Kalinin Tatiana Gabruseva
+ PDF Chat	Weighted boxes fusion: Ensembling boxes from different object detection models	2021	Roman Solovyev Weimin Wang Tatiana Gabruseva
+ PDF Chat	Roof Material Classification from Aerial Imagery	2020	Roman Solovyev
+	Roof material classification from aerial imagery	2020	Roman Solovyev
+ PDF Chat	Deep Learning Approaches for Understanding Simple Speech Commands	2020	Roman Solovyev Maxim Vakhrushev Alexander Radionov I. I. Romanova Aleksandr A. Amerikanov Vladimir Aliev Alexey A. Shvets
+ PDF Chat	Bayesian Feature Pyramid Networks for Automatic Multi-label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio	2020	Roman Solovyev Iaroslav Melekhov Timo Lesonen Elias Vaattovaara Osmo Tervonen Aleksei Tiulpin
+	Roof material classification from aerial imagery	2020	Roman Solovyev
+	Weighted Boxes Fusion: ensembling boxes for object detection models	2019	Roman Solovyev Weimin Wang
+	Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio	2019	Roman Solovyev Iaroslav Melekhov Timo Lesonen Elias Vaattovaara Osmo Tervonen Aleksei Tiulpin
+ PDF Chat	Fixed-Point Convolutional Neural Network for Real-Time Video Processing in FPGA	2019	Roman Solovyev A.G. Kustov Dmitry Telpukhov Vladimir S. Rukhlov Alexandr A. Kalinin
+	Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio	2019	Roman Solovyev Iaroslav Melekhov Timo Lesonen Elias Vaattovaara Osmo Tervonen Aleksei Tiulpin
+	Deep Learning Approaches for Understanding Simple Speech Commands	2018	Roman Solovyev Maxim Vakhrushev Alexander Radionov Vladimir Aliev Alexey A. Shvets
+	FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations.	2018	Roman Solovyev Alexandr A. Kalinin A.G. Kustov Dmitry Telpukhov Vladimir S. Ruhlov
+	Deep Learning Approaches for Understanding Simple Speech Commands	2018	Roman Solovyev Maxim Vakhrushev Alexander Radionov В. Ш. Алиев Alexey A. Shvets

Common Coauthors

Coauthor	Papers Together
Tatiana Habruseva	4
Alexander Stempkovskiy	4
Alexandr A. Kalinin	4
Timo Lesonen	3
Giorgio Fabbro	3
Osmo Tervonen	3
Alexey A. Shvets	3
Tatiana Gabruseva	3
Stefan Uhlich	3
Aleksei Tiulpin	3
Jianwei Yu	3
Yuki Mitsufuji	3
Elias Vaattovaara	3
Iaroslav Melekhov	3
Sharada P. Mohanty	3
Dipam Chakraborty	3
Woosung Choi	2
Geraldo André Raposo Ramos	2
Marco A. Martínez-Ramírez	2
Igor Gadelha	2
Alexander Radionov	2
Weimin Wang	2
Tatsuya Harada	2
Dmitry Telpukhov	2
Chieh-Hsin Lai	2
Nabarun Goswami	2
Fabian-Robert Stöter	2
Vladimir Aliev	2
Alexandre Défossez	2
Maxim Vakhrushev	2
A.G. Kustov	2
Weihsiang Liao	2
Minseok Kim	2
Xinran Zhang	2
Jiafeng Liu	2
Jun Hyung Lee	2
Yuanliang Dong	2
Hugo Rodrigues	2
Eddie Hsu	2
Mikhail Sukhovei	1
Vladimir S. Rukhlov	1
Kai Li	1
Shusuke Takahashi	1
Aleksandr A. Amerikanov	1
Yi Luo	1
Vladimir S. Ruhlov	1
Yi Luo	1
Yi Luo	1
Jonathan Le Roux	1
I. I. Romanova	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	11
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	7
+ PDF Chat	Squeeze-and-Excitation Networks	2019	Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu	4
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	4
+ PDF Chat	Feature Pyramid Network for Multi-class Land Segmentation	2018	Selim Seferbekov Vladimir I. Iglovikov Alexander V. Buslaev Alexey A. Shvets	4
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	4
+ PDF Chat	TernausNetV2: Fully Convolutional Network for Instance Segmentation	2018	Vladimir I. Iglovikov Selim Seferbekov Alexander V. Buslaev Alexey A. Shvets	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+ PDF Chat	Breast Tumor Cellularity Assessment using Deep Neural Networks	2019	Alexander Rakhlin Aleksei Tiulpin Alexey A. Shvets Alexandr A. Kalinin Vladimir I. Iglovikov Sergey Nikolenko	4
+ PDF Chat	Deep Learning for Automatic Pneumonia Detection	2020	Tatiana Gabruseva Dmytro Poplavskiy Alexandr A. Kalinin	3
+ PDF Chat	Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning	2018	Alexey A. Shvets Alexander Rakhlin Alexandr A. Kalinin Vladimir I. Iglovikov	3
+ PDF Chat	Albumentations: Fast and Flexible Image Augmentations	2020	Alexander V. Buslaev Vladimir I. Iglovikov Eugene Khvedchenya Alex Parinov Mikhail Druzhinin Alexandr A. Kalinin	3
+ PDF Chat	Array programming with NumPy	2020	C. R. Harris K. Jarrod Millman Stéfan van der Walt Ralf Gommers Pauli Virtanen David Cournapeau Eric Wieser Julian Taylor Sebastian Berg Nathaniel J. Smith	2
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	2
+ PDF Chat	ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases	2017	Xiaosong Wang Yifan Peng Le Lü Zhiyong Lu Mohammadhadi Bagheri Ronald M. Summers	2
+ PDF Chat	PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition	2020	Qiuqiang Kong Yin Cao Turab Iqbal Yuxuan Wang Wenwu Wang Mark D. Plumbley	2
+	Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography	2020	Mohammad Eslami Solale Tabarestani Shadi Albarqouni Ehsan Adeli Nassir Navab Malek Adjouadi	2
+ PDF Chat	Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis	2018	Alexander Rakhlin Alexey A. Shvets Vladimir I. Iglovikov Alexandr A. Kalinin	2
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	2
+ PDF Chat	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2017	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	2
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	2
+ PDF Chat	Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity	2019	Ethan Manilow Gordon Wichern Prem Seetharaman Jonathan Le Roux	2
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	2
+ PDF Chat	LSTM: A Search Space Odyssey	2016	Klaus Greff Rupesh K. Srivastava Jan Koutník Bas R. Steunebrink Jürgen Schmidhuber	2
+ PDF Chat	Squeeze-and-Excitation Networks	2018	Jie Hu Li Shen Gang Sun	2
+ PDF Chat	Deep learning in neural networks: An overview	2014	Jürgen Schmidhuber	2
+	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	2015	Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper Bryan Catanzaro Jingdong Chen Mike Chrzanowski Adam Coates Greg Diamos	2
+ PDF Chat	Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models	2019	Mohammad Haft‐Javaherian Linjing Fang Victorine Muse Chris B. Schaffer Nozomi Nishimura Mert R. Sabuncu	2
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	2
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	2
+ PDF Chat	Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data	2019	Aleksei Tiulpin Stefan Klein Sita M.A. Bierma‐Zeinstra Jérôme Thevenot Esa Rahtu Joyce B. J. van Meurs Edwin H. G. Oei Simo Saarakkala	2
+ PDF Chat	Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery	2018	Alexander V. Buslaev Selim Seferbekov Vladimir I. Iglovikov Alexey A. Shvets	2
+	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation	2016	Yonghui Wu Mike Schuster Zhifeng Chen Quoc V. Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey	2
+ PDF Chat	Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio	2018	Nanqing Dong Michael Kampffmeyer Xiaodan Liang Zeya Wang Wei Dai Eric P. Xing	2
+	Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding	2017	Alex Kendall Vijay Badrinarayanan Roberto Cipolla	2
+	WaveNet: A Generative Model for Raw Audio	2016	Aäron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alexander Graves Nal Kalchbrenner Andrew Senior Koray Kavukcuoglu	2
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	2
+	Instance Normalization: The Missing Ingredient for Fast Stylization	2016	Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky	2
+ PDF Chat	Panoptic Feature Pyramid Networks	2019	Alexander Kirillov Ross Girshick Kaiming He Piotr Dollár	2
+ PDF Chat	Pyramid Scene Parsing Network	2017	Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia	2
+	Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition	2018	Pete Warden	2
+ PDF Chat	SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays	2018	Wei Dai Nanqing Dong Zeya Wang Xiaodan Liang Hao Zhang Eric P. Xing	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	A survey on deep learning in medical image analysis	2017	Geert Litjens Thijs Kooi Babak Ehteshami Bejnordi Arnaud Arindra Adiyoso Setio Francesco Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken Clara I. Sá‎nchez	2
+ PDF Chat	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	2018	Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam	2
+ PDF Chat	Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation	2018	Cheng Chen Qi Dou Hao Chen Pheng‐Ann Heng	2
+ PDF Chat	Bayesian Feature Pyramid Networks for Automatic Multi-label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio	2020	Roman Solovyev Iaroslav Melekhov Timo Lesonen Elias Vaattovaara Osmo Tervonen Aleksei Tiulpin	2
+	Techniques for Feature Extraction In Speech Recognition System : A Comparative Study	2013	Urmila Shrawankar V. M. Thakare	2
+ PDF Chat	Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks	2018	Vladimir I. Iglovikov Alexander Rakhlin Alexandr A. Kalinin Alexey A. Shvets	2