Customer-obsessed science


Research areas
-
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.
Featured news
-
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
-
2024This paper addresses the failure detection and recovery problem in visual-inertial based Simultaneous Localization and Mapping (SLAM) systems for large-scale indoor environments. Camera and Inertial Measurement Unit (IMU) are popular choices for SLAM in many robotics tasks (e.g., navigation) due to their complementary sensing capabilities and low cost. However, vision has inherent challenges even in well-lit
-
ACM SUI 20242024Point cloud annotation plays a pivotal role in computer vision and machine learning by facilitating the creation of volumetric annotations in 3D space. While prior research has explored point cloud annotation in VR environments, its practical implementation in space-constrained office settings, where data annotation is typically conducted, remains an open question. In this paper, we introduce Annorama,
-
Language Resources and Evaluation2024In Artificial Intelligence research, perspectivism is an approach to machine learning that aims at leveraging data annotated by different individuals in order to model varied perspectives that influence their opinions and world view. We present the first survey of datasets and methods relevant to perspectivism in Natural Language Processing (NLP). We review datasets in which individual annotator labels
-
RecSys 20242024An increasing number of media streaming services have expanded their offerings to include entities of multiple content types. For instance, audio streaming services that started by offering music only, now also offer podcasts, merchandise items, and videos. Ranking items across different content types into a single slate poses a significant challenge for traditional learning-to-rank (LTR) algorithms due
Academia
View allWhether you're a faculty member or student, there are number of ways you can engage with Amazon.
View all