Vladimir Tankovich

Vladimir Tankovich is a prominent researcher in the field of computer vision with extensive experience at leading technology companies. He is currently a Researcher at Waymo, focusing on computer vision and machine learning applications for autonomous vehicles.31

Career Highlights

Google:: Tankovich worked as an Applied Researcher at Google from 2017 to 2021.2 During his time there, he made significant contributions to various computer vision projects, particularly in areas such as:

• 3D reconstruction
• Depth sensing
• Stereo matching
• Real-time tracking

Facebook:: After his tenure at Google, Tankovich briefly worked as a Researcher at Facebook in 2021-2022.2

Waymo:: Since 2022, he has been employed as a Researcher at Waymo, Alphabet's autonomous driving technology company.23

Research Contributions

Tankovich has authored numerous influential papers in the field of computer vision. Some of his notable works include:

• "HitNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching" (2021)1
• "Holoportation: Virtual 3D Teleportation in Real-time" (2016)1
• "Fusion4D: Real-time Performance Capture of Challenging Scenes" (2016)1

His research has been widely cited, with several papers receiving hundreds of citations, demonstrating the impact of his work in the field.1

Expertise

Tankovich's areas of expertise include:

• Deep learning applied to computer vision
• 3D reconstruction
• Depth sensing and stereo matching
• Real-time tracking and performance capture
• Computational imaging

His work often combines deep learning techniques with geometric methods to solve complex computer vision problems.

Vladimir Tankovich's LinkedIn username is indeed vtankovich, as mentioned in the query.3 His profile on the platform reflects his extensive experience and contributions to the field of computer vision and machine learning.