Blog(8)

• [CVPR 2022 Series #6] Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders

  Variational Autoencoder (VAE) [5,6] is one of the most popular deep latent variable models in modern machine learning. In VAE, we have a rich representational capacity to model a complex generative process of synthesizing images (x) from the latent variables (z).

• [CVPR 2022 Series #5] P>M>F: The Pre-Training, Meta-Training and Fine-Tuning Pipeline for Few-Shot Learning

  Many technical challenges must be overcome to provide excellent AI experience to users of Samsung devices. The Cambridge AI Center focuses on 'multimodal AI' technology, 'data efficient AI' and 'On-device AI technology that makes AI models work efficiently and robustly on Samsung's devices'. First, it is essential to handle multimodality for a natural interaction experience with users.

• [CVPR 2022 Series #4] Stereo Magnification with Multi-Layer Images

  Representing scenes with multiple semi-transparent colored layers has been a popular and successful choice for real-time novel view synthesis. Existing approaches infer colors and transparency values over regularly-spaced layers of planar or spherical shape.

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Research Achievements(50)

• P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision

  AuthorHe Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson

  PublishedComputer Vision and Pattern Recognition (CVPR)

  Date2022-06-21

• Representing 3D Shapes with Probabilistic Directed Distance Fields

  AuthorTristan Aumentado-Armstrong, Stavros Tsogkas, Sven Dickinson, Allan Jepson

  PublishedComputer Vision and Pattern Recognition (CVPR)

  Date2022-06-21

• Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut

  AuthorYangtao Wang, Xi Shen, Shell hu, Yuan Yuan, James Crowley, Dorminique Vaufreydaz

  PublishedComputer Vision and Pattern Recognition (CVPR)

  Date2022-06-21

News(26)

• SRC-B Ranks 3rd in the MIPI at ECCV 2022

  The European Conference on Computer Vision (ECCV) is a biennial research conference with its proceedings published by Springer Science + Business Media. It is considered to be one of the top conferences in computer vision, alongside the Computer Vision and Pattern Recognition (CVPR) and International Conference on Computer Vision (ICCV).

• SRC-B Wins Awards in Prominent AI Challenges at CVPR 2022

  The Conference on Computer Vision and Pattern Recognition (CVPR) is a world-renowned conference in the field of artificial intelligence (AI) and machine learning. Samsung R&D Institute China - Beijing (SRC-B) achieved excellent results in the New Trends in Image Restoration and Enhancement (NTIRE) workshop and Action Learning From Realistic Environments and Directives (ALFRED) workshop at CVPR 2022.

• [Blog] [CVPR 2022 Series #6] Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders

  Variational Autoencoder (VAE) [5,6] is one of the most popular deep latent variable models in modern machine learning. In VAE, we have a rich representational capacity to model a complex generative process of synthesizing images (x) from the latent variables (z).

Others(1)

• Samsung AI Center - Moscow

  About Us Papers Play Samsung AI Center – Moscow is the first institution in Russia focused directly on artificial intelligence (AI), where Russia’s strengths and capabilities in fundamental sciences, especially mathematics and physics, are brought together with Samsung global R&D strategy. Samsung AI Center - Moscow is led by Dr. Anton Konushin who is world-known AI Computer Vision expert and associate professor at Moscow State University and Higher School of Econo...