Kiana Ehsani

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Citations	1279	1264
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Ali FarhadiProfessor, Computer Science and Engineering, University of WashingtonVerified email at cs.uw.edu
Roozbeh MottaghiFAIR, Meta AIVerified email at cs.stanford.edu
Aniruddha KembhaviSenior Director of Computer Vision, Allen Institute of Artificial IntelligenceVerified email at allenai.org
Luca WeihsResearch Scientist, Allen Institute for Artificial IntelligenceVerified email at allenai.org
Matt DeitkeAllen Institute for AI; University of Washington, SeattleVerified email at allenai.org
Alvaro HerrastiResearch EngineerVerified email at allenai.org
Eli VanderBiltTechnical ArtistVerified email at allenai.org
Daniel GordonUniversity of WashingtonVerified email at cs.washington.edu
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Shuran SongColumbia UniversityVerified email at cs.columbia.edu
Samir Yitzhak GadrePh.D. Student, Columbia UniversityVerified email at columbia.edu
Mitchell WortsmanUniversity of WashingtonVerified email at cs.washington.edu
Jordi SalvadorAllen Institute for AIVerified email at allenai.org
Mohammad RastegariSenior AI/ML Manager at Apple Inc.Verified email at cs.washington.edu
Hessam BagherinezhadUniversity of WashingtonVerified email at cs.washington.edu
Ludwig SchmidtUniversity of Washington and Allen Institute for AIVerified email at cs.washington.edu
Dieter FoxUniversity of Washington and NVIDIAVerified email at cs.washington.edu
Dustin SchwenkResearch Engineer, Allen Institute for Artificial IntelligenceVerified email at allenai.org
Joseph RedmonUniversity of WashingtonVerified email at cs.washington.edu
Shubham TulsianiCarnegie Mellon UnivesityVerified email at cmu.edu

Kiana Ehsani

Research Scientist @ PRIOR, AI2

Verified email at allenai.org - Homepage

Computer vision machine learning deep learning


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Ai2-thor: An interactive 3d environment for visual ai E Kolve, R Mottaghi, W Han, E VanderBilt, L Weihs, A Herrasti, M Deitke, ... arXiv preprint arXiv:1712.05474, 2017	573	2017
Learning to learn how to learn: Self-adaptive visual navigation using meta-learning M Wortsman, K Ehsani, M Rastegari, A Farhadi, R Mottaghi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	171	2019
Segan: Segmenting and generating the invisible K Ehsani, R Mottaghi, A Farhadi Proceedings of the IEEE conference on computer vision and pattern …, 2018	130	2018
Watching the world go by: Representation learning from unlabeled videos D Gordon, K Ehsani, D Fox, A Farhadi arXiv preprint arXiv:2003.07990, 2020	74	2020
Manipulathor: A framework for visual object manipulation K Ehsani, W Han, A Herrasti, E VanderBilt, L Weihs, E Kolve, A Kembhavi, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	65	2021
Who let the dogs out? modeling dog behavior from visual data K Ehsani, H Bagherinezhad, J Redmon, R Mottaghi, A Farhadi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	64	2018
Use the force, luke! learning to predict physical forces by simulating effects K Ehsani, S Tulsiani, S Gupta, A Farhadi, A Gupta Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	36	2020
Contrasting contrastive self-supervised representation learning pipelines K Kotar, G Ilharco, L Schmidt, K Ehsani, R Mottaghi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	35	2021
Procthor: Large-scale embodied ai using procedural generation M Deitke, E VanderBilt, A Herrasti, L Weihs, J Salvador, K Ehsani, W Han, ... arXiv preprint arXiv:2206.06994, 2022	32	2022
Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery S Yitzhak Gadre, K Ehsani, S Song arXiv e-prints, arXiv: 2105.01047, 2021	24*	2021
Learning generalizable visual representations via interactive gameplay L Weihs, A Kembhavi, K Ehsani, SM Pratt, W Han, A Herrasti, E Kolve, ... arXiv preprint arXiv:1912.08195, 2019	20	2019
Continuous scene representations for embodied AI SY Gadre, K Ehsani, S Song, R Mottaghi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	15	2022
Retrospectives on the embodied ai workshop M Deitke, D Batra, Y Bisk, T Campari, AX Chang, DS Chaplot, C Chen, ... arXiv preprint arXiv:2210.06849, 2022	14	2022
Objaverse: A universe of annotated 3d objects M Deitke, D Schwenk, J Salvador, L Weihs, O Michel, E VanderBilt, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	12	2023
Towards disturbance-free visual mobile manipulation T Ni, K Ehsani, L Weihs, J Salvador Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023	4	2023
Structure from Action: Learning Interactions for Articulated Object 3D Structure Discovery N Nie, SY Gadre, K Ehsani, S Song arXiv preprint arXiv:2207.08997, 2022	4	2022
Phone2proc: Bringing robust robots into our chaotic world M Deitke, R Hendrix, A Farhadi, K Ehsani, A Kembhavi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	2	2023
Object Manipulation via Visual Target Localization K Ehsani, A Farhadi, A Kembhavi, R Mottaghi Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022	2	2022
Deconstructing the Structure of Sparse Neural Networks M Van Gelder, M Wortsman, K Ehsani arXiv preprint arXiv:2012.00172, 2020	1	2020
What can you learn from your muscles? Learning visual representation from human interactions K Ehsani, D Gordon, T Nguyen, R Mottaghi, A Farhadi arXiv preprint arXiv:2010.08539, 2020	1	2020

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