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Kiana Ehsani

Allen Institute for Artificial Intelligence

29 papers hereh-index 267k citations42 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author20
  • last author2

Across the 29 of 29 papers where every author was matched, so the position is known.

fields
  • cs.CV20
  • cs.RO7
  • cs.AI1
  • cs.LG1
affiliations
  • Allen Institute for Artificial Intelligence
Homepage
same name
  • Kiana Ehsani — 3 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172024
most citedAI2-THOR: An Interactive 3D Environment for Visual AI

312 citations · 533 across the 27 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.RO2021★ 1 cited

Towards Disturbance-Free Visual Mobile Manipulation

Tianwei Ni, Kiana Ehsani, Luca Weihs +1

Deep reinforcement learning has shown promising results on an abundance of robotic tasks in simulation, including visual navigation and manipulation. Prior work generally aims to b…

cs.CV2021★ 7 cited

Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery

Samir Yitzhak Gadre, Kiana Ehsani, Shuran Song

People often use physical intuition when manipulating articulated objects, irrespective of object semantics. Motivated by this observation, we identify an important embodied task w…

cs.CV2021

ManipulaTHOR: A Framework for Visual Object Manipulation

Kiana Ehsani, Winson Han, Alvaro Herrasti +5

The domain of Embodied AI has recently witnessed substantial progress, particularly in navigating agents within their environments. These early successes have laid the building blo…

cs.CV2021

Contrasting Contrastive Self-Supervised Representation Learning Pipelines

Klemen Kotar, Gabriel Ilharco, Ludwig Schmidt +2

In the past few years, we have witnessed remarkable breakthroughs in self-supervised representation learning. Despite the success and adoption of representations learned through th…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.