Sujeong Kim — accepted AI-conference papers

2023

Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos

Rohit Gupta, Anirban Roy, Claire Christensen, Sujeong Kim, Sarah Gerard, Madeline Cincebeaux +3

CVPR 2023poster

The recent growth in the consumption of online media by children during early childhood necessitates data-driven tools enabling educators to filter out appropriate educational content for young learners. This paper presents an approach for detecting educational content in online videos. We focus on…

Cited by 20 Source ↗PDF ↗code ↗Scholar ↗

2016

GLMP- realtime pedestrian path prediction using global and local movement patterns

Aniket Bera, Sujeong Kim, Tanmay Randhavane, Srihari Pratapa, Dinesh Manocha

ICRA 2016

We present a novel real-time algorithm to predict the path of pedestrians in cluttered environments. Our approach makes no assumption about pedestrian motion or crowd density, and is useful for short-term as well as long-term prediction. We interactively learn the characteristics of pedestrian motio

Cited by 75 Source ↗Scholar ↗