126 citations · 182 across the 10 of their papers we have counts for
10 papers
Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents
Yunseok Jang, Yeda Song, Sungryull Sohn +5
Recent advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs) have sparked significant interest in developing GUI visual agents. We introduce MONDAY (Mobile…
YTCommentQA: Video Question Answerability in Instructional Videos
Saelyne Yang, Sunghyun Park, Yunseok Jang +1
Instructional videos provide detailed how-to guides for various tasks, with viewers often posing questions regarding the content. Addressing these questions is vital for comprehend…
Multimodal Subtask Graph Generation from Instructional Videos
Yunseok Jang, Sungryull Sohn, Lajanugen Logeswaran +3
Real-world tasks consist of multiple inter-dependent subtasks (e.g., a dirty pan needs to be washed before it can be used for cooking). In this work, we aim to model the causal dep…
Unsupervised Task Graph Generation from Instructional Video Transcripts
Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang +2
This work explores the problem of generating task graphs of real-world activities. Different from prior formulations, we consider a setting where text transcripts of instructional…
RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects
Yunseok Jang, Ruben Villegas, Jimei Yang +3
There have been remarkable successes in computer vision with deep learning. While such breakthroughs show robust performance, there have still been many challenges in learning in-d…
On the Virality of Animated GIFs on Tumblr
Yunseok Jang, Yale Song, Gunhee Kim
Animated GIFs are becoming increasingly popular in online communication. People use them to express emotion, share their interests and enhance (or even replace) short-form texting;…
Diversity-Sensitive Conditional Generative Adversarial Networks
Dingdong Yang, Seunghoon Hong, Yunseok Jang +2
We propose a simple yet highly effective method that addresses the mode-collapse problem in the Conditional Generative Adversarial Network (cGAN). Although conditional distribution…
Theory-Driven Automated Content Analysis of Suicidal Tweets : Using Typicality-Based Classification for LDA Dataset
Joon-Mo Park, Chul-joo Lee, Yunseok Jang
This study provides a methodological framework for the computer to classify tweets according to variables of the Theory of Planned Behavior. We present a sequential process of auto…
Video Prediction with Appearance and Motion Conditions
Yunseok Jang, Gunhee Kim, Yale Song
Video prediction aims to generate realistic future frames by learning dynamic visual patterns. One fundamental challenge is to deal with future uncertainty: How should a model beha…
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
Yunseok Jang, Yale Song, Youngjae Yu +2
Vision and language understanding has emerged as a subject undergoing intense study in Artificial Intelligence. Among many tasks in this line of research, visual question answering…