Customer-obsessed science


Research areas
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June 25, 2025With large datasets, directly generating data ID codes from query embeddings is much more efficient than performing pairwise comparisons between queries and candidate responses.
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In recent years, Vision Language Models (VLMs) have achieved significant advancements due to the success of large language models. The common strategy for aligning vision and language models involves a two-step process: an alignment (or pretraining) stage and an instruction tuning stage. During the alignment stage, a projection module is trained to map image embeddings into the language space using a paired
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2024Suction cups are popular for picking and transporting packages in warehouse applications. To maximize throughput, high transport speeds are desired. Many packages are deformable and may detach from the suction cups due to inertial loading if trajectories use excessive velocities. This paper introduces a novel methodology that analyzes package deformation through its curvature at the package-suction cup
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OOPSLA 20242024Access control policies are programs used to secure cloud resources. These polices should only grant the necessary permissions that a given application needs. However, it is challenging to write and maintain policies as applications and their required permissions change over time. In this paper, we focus on the Amazon Web Services (AWS) IAM policy language and present an approach that, given a policy, synthesizes
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Journal of Applied Instructional Design2024Innovations in digital, interactive learning resources are increasingly being produced for online learning or e-learning. One area that is growing as a result of the increase in learning resources is computer-based simulations. Interactive computer simulations and simulators for education can offer similar traditional hands-on opportunities for learners to engage in learning activities. However, less is
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BMVC 20242024Understanding product dimensions can be challenging, hindering individuals from accurately visualizing how items will fit and look within their spaces. Addressing this, we present a novel automated approach to overlay dimensional lines onto product images, empowering users to understand each subcomponent’s size and scale. Our proposed multi-stage approach uses 3 key components: 3DBoundDetector to identify
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