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Found 7 papers, 1 papers with code
A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction
Gaze following and social gaze prediction are fundamental tasks providing insights into human communication behaviors, intent, and social interactions.
Sharingan: A Transformer-based Architecture for Gaze Following
In this paper, we introduce a novel transformer-based architecture for 2D gaze prediction.
A Modular Multimodal Architecture for Gaze Target Prediction: Application to Privacy-Sensitive Settings
to detect obstructions in the line of sight or apply attention priors that humans typically have when observing others.
ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour
Furthermore, all publicly available gaze target prediction benchmarks mostly contain instances of adults, which makes models trained on them less applicable to scenarios with young children.
Prediction of $\textrm{CO}_2$ Adsorption in Nano-Pores with Graph Neural Networks
We investigate the graph-based convolutional neural network approach for predicting and ranking gas adsorption properties of crystalline Metal-Organic Framework (MOF) adsorbents for application in post-combustion capture of $\textrm{CO}_2$.
End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints
Inferring the 6DoF pose of an object from a single RGB image is an important but challenging task, especially under heavy occlusion.
Ranked #8 on
6D Pose Estimation using RGB
on Occlusion LineMOD
Font Identification in Historical Documents Using Active Learning
Identifying the type of font (e. g., Roman, Blackletter) used in historical documents can help optical character recognition (OCR) systems produce more accurate text transcriptions.
