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Articles by Hadar Averbuch-Elor
Computer Science > Computer Vision and Pattern Recognition
Internet-scale photo collections of real-world landmarks have driven progress in 3D computer vision yet remain highly challenging for modern 3D foundation models (3DFMs) that estimate scene structure in a single feed-forward pass. In this work, we introduce ArchWorld, a benchmark of 3D architectural landmarks with high geographic coverage and rich metadata.
[2310.16781] Kiki or Bouba? Sound Symbolism in Vision-and-Language Models
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[2309.02691] A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models
arXiv:2309.02691 (cs) [Submitted on 6 Sep 2023 (v1), last revised 30 May 2024 (this version, v3)] View PDF Comments: Subjects: Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV) Cite as: arXiv:2309.02691 [cs.CL] (or arXiv:2309.02691v3 [cs.CL] for this version) https://doi.org/10.48550/arXiv.2309.02691 Submission history From: Yoav Artzi [ view email] [v1] Wed, 6 Sep 2023 03:54:57 UTC (12,768 KB) [v2] Wed, 28 Feb 2024 09:44:46 UTC (31,164 KB) [v3] Thu, 30 May...
[2304.14104] Learning Human-Human Interactions in Images from Weak Textual Supervision
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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