Raymond A. Yeh
@RaymondYeh
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Assistant Professor @PurdueCS; Working on Computer Vision and Machine Learning; PhD from @ECEILLINOIS
Joined October 2011
RT @haomengz99: We are excited to share our #NeurIPS2024 work "Multi-Object 3D Grounding with Dynamic Modules and Language Informed Spatial…
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RT @AnimaAnandkumar: Excited to present our work on CoDA-NO at #NeurIPS2024 We develop a novel neural operator architecture designed to sol…
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RT @unnatjain2010: Excited to share that I'll be joining University of California at Irvine as a CS faculty in '25!🌟 Faculty apps: @_krish…
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@sirbayes Agree! Similar reasoning from the CVPR template, "It is important for readers to be able to refer to any particular equation. Just because you did not refer to it in the text does not mean some future reader might not need to refer to it."
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@eccvconf @maharajamihir To confirm. Suppose two authors (and one is a student) share two papers, then two full onsite registrations are required.
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We will be presenting "Making Vision Transformers Truly Shift-Equivariant" in the afternoon session poster #70. Come and learn more from @renanrojasg! #CVPR2024
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RT @AmberYZheng: I will be giving an oral presentation on "Towards Safer AI Content Creation by Immunizing Text-to-Image Models" at #AI4CC…
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RT @Ashiq_Rahman_s: Excited to share our work at #NeurIPS2023🧠 on scale equivariance! 🚀 We introduce an end-to-end scale-equivariant deep n…
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We are excited to share our latest work AmbiGen! We distill pre-trained diffusion model to generate Ambigrams, i.e., fonts that can be read from different orientations. Project page: Joint work with Bohen Zhang, @RanaHanocka
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RT @YijiaZoeZheng: Recent works have shown that harmful concepts can be erased from diffusion models, however, they can be easily re-learne…
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RT @sirbayes: The trilogy is complete! My "Advanced Topics" book is officially released today. Buy it on Amazon, or get it for free at http…
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RT @JyotiAneja: We're looking for motivated PhD interns to work in the multi-modal deep learning domain @ Microsoft Research Redmond, for S…
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@nothal9000 I haven't thought about it. Newer models have come out, e.g., GLIPV2, that could be extended to object segmentation.
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