Альманах
искусственный интеллект
№4. Итоги 2019
искусственный интеллект
№4. Итоги 2019
Аналитический сборник
Список статей
CVPR 2019
Aliaksandra Shysheya; Egor Zakharov; Kara-Ali Aliev; Renat Bashirov; Egor Burkov; Karim Iskakov; Aleksei Ivakhnenko; Yury Malkov; Igor Pasechnik; Dmitry Ulyanov; Alexander Vakhitov; Victor Lempitsky. Textured Neural Avatars, CVPR, 2019 (Oral)
Artur Grigorev; Artem Sevastopolsky; Alexander Vakhitov; Victor Lempitsky. Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation, CVPR, 2019 (poster)
Sebastian Koch; Albert Matveev; Zhongshi Jiang; Francis Williams; Alexey Artemov; Evgeny Burnaev; Marc Alexa; Denis Zorin; Daniele Panozzo. ABC: A Big CAD Model Dataset for Geometric Deep Learning, CVPR, 2019 (poster)
ICML 2019
Weng, T.W., Chen, P.Y., Nguyen, L.M., Squillante, M.S., Oseledets, I. and Daniel, L., PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach. ICML 2019 (oral + poster)
ICCV
Oleg Voynov, Alexey Artemov, Vage Egiazarian, Alexander Notchenko, Gleb Bobrovskikh, Evgeny Burnaev, Denis Zorin. Perceptual Deep Depth Super-Resolution, ICCV, 2019 (poster)
Karim Iskakov, Egor Burkov, Victor Lempitsky, Yury Malkov. Learnable Triangulation of Human Pose , ICCV 2019(oral)
Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor Lempitsky Few-Shot Adversarial Learning of Realistic Neural Talking Head Models, ICCV 2019 (oral)
ICLR
Valentin Khrulkov, Oleksii Hrinchuk, Ivan Oseledets. Generalized Tensor Models for Recurrent Neural Networks. ICLR, 2019
ShahRukh Athar, Evgeny Burnaev, Victor Lempitsky, Latent Convolutional Models. ICLR, 2019
ICMV
A. Bernstein, E. Burnaev, M. Sharaev, O. Kachan, E. Kondrateva. Topological Data Analysis in Computer Vision. Proc. of ICMV, 2019
D. Volkhonskiy, I. Nazarov, E. Burnaev. Steganographic Generative Adversarial Networks. Proc. of ICMV, 2019.
Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva. Machine learning models reproducibility and validation for MR images recognition. Proc. ICMV, 2019
S. Pavlov, A. Artemov, M. Sharaev, A. Bernstein, E. Burnaev. Weakly Supervised fine tuning approach for brain tumor segmentation problem. Proc. of ICMLA, 2019
Neurips
Francis Williams, Matthew Trager, Claudio Silva, Daniele Panozzo, Denis Zorin, and JoanBruna. Gradient dynamics of shallow univariate relu networks. 2019. Neural InformationProcessing Systems (NeuroIPS)
Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko. Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs, Neurips, 2019 (Core A*)
International Conference Joint on Artificial Intelligence
Evgeny Tsymbalov, Sergey Makarychev, Alexander Shapeev and Maxim Panov "Deeper Connections between Neural Networks and Gaussian Processes Regression Speed-up Active Learning", International Conference Joint on Artificial Intelligence, 2019.
Aliaksandra Shysheya; Egor Zakharov; Kara-Ali Aliev; Renat Bashirov; Egor Burkov; Karim Iskakov; Aleksei Ivakhnenko; Yury Malkov; Igor Pasechnik; Dmitry Ulyanov; Alexander Vakhitov; Victor Lempitsky. Textured Neural Avatars, CVPR, 2019 (Oral)
Artur Grigorev; Artem Sevastopolsky; Alexander Vakhitov; Victor Lempitsky. Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation, CVPR, 2019 (poster)
Sebastian Koch; Albert Matveev; Zhongshi Jiang; Francis Williams; Alexey Artemov; Evgeny Burnaev; Marc Alexa; Denis Zorin; Daniele Panozzo. ABC: A Big CAD Model Dataset for Geometric Deep Learning, CVPR, 2019 (poster)
ICML 2019
Weng, T.W., Chen, P.Y., Nguyen, L.M., Squillante, M.S., Oseledets, I. and Daniel, L., PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach. ICML 2019 (oral + poster)
ICCV
Oleg Voynov, Alexey Artemov, Vage Egiazarian, Alexander Notchenko, Gleb Bobrovskikh, Evgeny Burnaev, Denis Zorin. Perceptual Deep Depth Super-Resolution, ICCV, 2019 (poster)
Karim Iskakov, Egor Burkov, Victor Lempitsky, Yury Malkov. Learnable Triangulation of Human Pose , ICCV 2019(oral)
Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor Lempitsky Few-Shot Adversarial Learning of Realistic Neural Talking Head Models, ICCV 2019 (oral)
ICLR
Valentin Khrulkov, Oleksii Hrinchuk, Ivan Oseledets. Generalized Tensor Models for Recurrent Neural Networks. ICLR, 2019
ShahRukh Athar, Evgeny Burnaev, Victor Lempitsky, Latent Convolutional Models. ICLR, 2019
ICMV
A. Bernstein, E. Burnaev, M. Sharaev, O. Kachan, E. Kondrateva. Topological Data Analysis in Computer Vision. Proc. of ICMV, 2019
D. Volkhonskiy, I. Nazarov, E. Burnaev. Steganographic Generative Adversarial Networks. Proc. of ICMV, 2019.
Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva. Machine learning models reproducibility and validation for MR images recognition. Proc. ICMV, 2019
S. Pavlov, A. Artemov, M. Sharaev, A. Bernstein, E. Burnaev. Weakly Supervised fine tuning approach for brain tumor segmentation problem. Proc. of ICMLA, 2019
Neurips
Francis Williams, Matthew Trager, Claudio Silva, Daniele Panozzo, Denis Zorin, and JoanBruna. Gradient dynamics of shallow univariate relu networks. 2019. Neural InformationProcessing Systems (NeuroIPS)
Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko. Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs, Neurips, 2019 (Core A*)
International Conference Joint on Artificial Intelligence
Evgeny Tsymbalov, Sergey Makarychev, Alexander Shapeev and Maxim Panov "Deeper Connections between Neural Networks and Gaussian Processes Regression Speed-up Active Learning", International Conference Joint on Artificial Intelligence, 2019.