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1. The Deep Weight Prior Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitry Vetrov, Max Welling 2. Computationally Efficient Algorithms of Image Recognition Based on Sequential Analysis of Deep Neural Network Features Anastasiia Sokolova, Andrey Savchenko 3. Style transfer with adjustable stylization strength Victor Kitov 4. Depth-preserving real-time arbitrary style transfer Konstantin Kozlovtsev, Victor Kitov 5. Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning Sergey Zagoruyko, Yann Labbé, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic 6. Towards Fast and Accurate Object Detection Denis Rybalchenko, Ivan Marzhanovskij, Alexander Chigorin 7. Person Re-Identification and Multi-Target Multi-Camera Tracking Victor Chigrinsky, Daniil Kireev 8. Recognizing Multi-modal Face Spoofing with Face Recognition Networks Aleksandr Parkin, Oleg Grinchuk 9. Visual Product Recommendation Using Neural Aggregation Kirill Demochkin, Andrey Savchenko 10. Automatic salt deposits segmentation: A deep learning approach Mikhail Karchevskiy, Insaf Ashrapov, Leonid Kozinkin 11. Computer vision application for maritime research Pavel Golubev, Dmitriy Bleklov, Olga Ivanova, Daria Lukash, Artem Zolkin, Andrey Mitrofanov 12. Computer Vision tool accelerating annotation of digital images and video Nikita Manovich, Boris Sekachev, Andrey Zhavoronkov 13. Intel® RealSense™ Depth Sensing Technology Ksenia Simakova, Vladimir Slinko 14. Intel® Distribution of OpenVINO™ toolkit for CNN-based deep learning inference Anna Belova 15. Artificial intelligence. Technology and investment trends: VC insights. Sistema_VC team Posters

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1. TheDeepWeightPrior  AndreiAtanov,ArseniiAshukha,KirillStruminsky,DmitryVetrov,MaxWelling

2. ComputationallyEfficientAlgorithmsofImageRecognitionBasedonSequentialAnalysis ofDeepNeuralNetworkFeatures AnastasiiaSokolova,AndreySavchenko

3. Styletransferwithadjustablestylizationstrength VictorKitov

4. Depth-preservingreal-timearbitrarystyletransfer  KonstantinKozlovtsev,VictorKitov

5. Monte-CarloTreeSearchforEfficientVisuallyGuidedRearrangementPlanning  SergeyZagoruyko,YannLabbé,IgorKalevatykh,IvanLaptev,JustinCarpentier, MathieuAubry,JosefSivic

6. TowardsFastandAccurateObjectDetection DenisRybalchenko,IvanMarzhanovskij,AlexanderChigorin

7. PersonRe-IdentificationandMulti-TargetMulti-CameraTracking VictorChigrinsky,DaniilKireev

8. RecognizingMulti-modalFaceSpoofingwithFaceRecognitionNetworks AleksandrParkin,OlegGrinchuk

9. VisualProductRecommendationUsingNeuralAggregation KirillDemochkin,AndreySavchenko

10. Automaticsaltdepositssegmentation:Adeeplearningapproach MikhailKarchevskiy,InsafAshrapov,LeonidKozinkin

11. Computervisionapplicationformaritimeresearch  PavelGolubev,DmitriyBleklov,OlgaIvanova,DariaLukash,ArtemZolkin,AndreyMitrofanov

12. ComputerVisiontoolacceleratingannotationofdigitalimagesandvideo  NikitaManovich,BorisSekachev,AndreyZhavoronkov

13. Intel®RealSense™DepthSensingTechnology KseniaSimakova,VladimirSlinko

14. Intel®DistributionofOpenVINO™toolkitforCNN-baseddeeplearninginference  AnnaBelova

15. Artificialintelligence.Technologyandinvestmenttrends:VCinsights. Sistema_VCteam

Posters
1. Objectdetectiontechnologyforconstructionsitemonitoring  TraceairTechnologies

2. ObjectGraspingUsingKey-PointsandDeepLearning  SberbankRoboticsLaboratory

3. ComputerVisiontoolacceleratingannotationofdigitalimagesandvideo  Intel

4. Intel®RealSense™DepthSensingTechnology Intel

5. Intel®DistributionofOpenVINO™toolkitforCNN-baseddeeplearninginference  Intel

6. Video-analyticsFPGAaccelerationCard(Russiandesignandmanufacturing) withIntelOpenVINOsupport  ALMAZ-SPJSC

Demos