Skanda Koppula
Scholar

Skanda Koppula

Google Scholar ID: hlC76YUAAAAJ
Google DeepMind
Embedded SystemsComputer VisionSpeech RecognitionBioinformatics
Citations & Impact
All-time
Citations
2,454
 
H-index
16
 
i10-index
19
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published several papers including but not limited to: TAPNext: Tracking Any Point (TAP) as Next Token Prediction, SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications, TAPVid-3D: A Benchmark for Tracking Any Point in 3D, Scaling 4D Representations, etc.
Research Experience
  • Worked on new versions of PilotNet with NVIDIA's Autonomous Driving Team; in 2017, worked with the Google Acoustic Modeling research team under Prof. Khe Chai Sim; previously interned at Yahoo and Square.
Education
  • Was a Fulbright researcher at ETH Zürich in 2019 working with Prof. Onur Mutlu; completed MEng at MIT in 2018, advised by Professor Anantha Chandrakasan and Dr. Jim Glass; received B.S. in Computer Science from MIT in 2016.
Background
  • Currently a research engineer at Google DeepMind and part of the PRISM vision research group at University College London. Works on dynamic 3D vision, visual representation learning, and video understanding. Research background includes computer vision, natural language understanding, computer security, and computer architecture.
Miscellany
  • Loves painting and building racecars.
Co-authors
0 total
Co-authors: 0 (list not available)