3 papers
cs.CV2022
Dense but Efficient VideoQA for Intricate Compositional Reasoning
Jihyeon Lee, Wooyoung Kang, Eun-Sol Kim
It is well known that most of the conventional video question answering (VideoQA) datasets consist of easy questions requiring simple reasoning processes. However, long videos inev…
cs.CV2020
Predicting Livelihood Indicators from Community-Generated Street-Level Imagery
Jihyeon Lee, Dylan Grosz, Burak Uzkent +4
Major decisions from governments and other large organizations rely on measurements of the populace's well-being, but making such measurements at a broad scale is expensive and thu…
cs.CV2019
A Free Lunch in Generating Datasets: Building a VQG and VQA System with Attention and Humans in the Loop
Jihyeon Lee, Sho Arora
Despite their importance in training artificial intelligence systems, large datasets remain challenging to acquire. For example, the ImageNet dataset required fourteen million labe…