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Microsoft (United States)

United States

26 papers here31 citations across 26
fields
  • quant-ph5
  • cs.AI2
  • cs.CR2
  • cs.CY2
  • cs.DB2
  • cs.DC2
  • cs.IR2
  • cs.LG2
ROR 00d0nc645OpenAlex

affiliations via OpenAlex

most citedApproximating local properties by tensor network states with constant bond dimension

11 citations

researchers with a paper here
  • Brad Lackey2 profiles2 · h 14
  • Daniel Rodríguez-Cárdenas2 · h 6
  • David N. Palacio2 · h 9
  • Denys Poshyvanyk2 · h 9
  • Guang Hao Low2 · h 3
  • Yuan Su2 · h 2
  • Aadil Mallick1 · h 0
  • Aarthi Sundaram1 · h 12
  • A. Buvanesh1 · h 3
  • AI GoogleQuantum1 · h 2
  • Alejandro Velasco1 · h 4
  • Alexandra Chouldechova1 · h 7
collaborating institutions
  • Microsoft Research (United Kingdom)GB4 papers
  • Carnegie Mellon UniversityUS2 papers
  • Google (United States)US2 papers
  • Microsoft Research Asia (China)CN2 papers
  • Microsoft Research (India)IN2 papers
  • Microsoft Research New York City (United States)2 papers
  • Princeton UniversityUS2 papers
  • The University of Texas at AustinUS2 papers
  • Tsinghua UniversityCN2 papers
  • University of ChicagoUS2 papers
  • William & MaryUS2 papers
  • Allergan (India)IN1 paper
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2026

GOT-JEPA: Generic Object Tracking with Model Adaptation and Occlusion Handling using Joint-Embedding Predictive Architecture

Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo +1

The human visual system tracks objects by integrating current observations with previously observed information, adapting to target and scene changes, and reasoning about occlusion…

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