Blog(2)

• Achievement-based Training Progress Balancing for Multi-Task Learning

  In advanced applications like autonomous driving and surveillance systems, different vision tasks need to work together [1]-[3].

• Open Source, Open Hardware Ground Truth for Visual Odometry and SLAM Applications

  Rapid development of hand-held mobile mapping systems [53] incorporating recent advances in SLAM [59] [63] allows the creation of both accurate and precise 3D point cloud and the trajectory.

Research Areas(0)

Publications(22)

• Quality Diversity for Visual Pre-Training

  AuthorDa Li, Timothy Hospedales

  PublishedInternational Conference on Computer Vision (ICCV)

  Date2023-10-04

• FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training

  AuthorAdrian Bulat, Ricardo Guerrero, Brais Martinez, Georgios Tzimiropoulos

  PublishedInternational Conference on Computer Vision (ICCV)

  Date2023-10-04

• ReGen: A good Generative zero-shot video classifier should be Rewarded

  AuthorAdrian Bulat, Enrique Sanchez, Brais Martinez, Georgios Tzimiropoulos

  PublishedInternational Conference on Computer Vision (ICCV)

  Date2023-10-04

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News(6)

• Samsung R&D Institute China-Nanjing at the 2025 ICCV Mars2 Workshop: Advancing Multimodal Reasoning in Real-World Scenarios

  AI Vision Lab in SRC-N participated in the 2025 ICCV Mars2workshop Multimodal Reasoning Competition. In this year, there are more than 20 participating teams from top domestic and foreign institutions and universities.

• Samsung R&D Institute China – Beijing Secures First Place in ICCV 2023 SLAM Challenge

  Simultaneous Localization and Mapping (SLAM) is extensively used in Extended Reality(XR) Head Mounted Display(HMD), robots, autonomous driving, and various other fields.

• Samsung R&D Institute China – Beijing Secures First Place in ICCV 2023 SLAM Challenge

  Simultaneous Localization and Mapping (SLAM) is extensively used in Extended Reality(XR) Head Mounted Display(HMD), robots, autonomous driving, and various other fields.

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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...