activity
20172021
most citedA Deep Ranking Model for Spatio-Temporal Highlight Detection from a 360 Video

7 citations · 13 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2021

ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning

Sangho Lee, Jiwan Chung, Youngjae Yu +4

The natural association between visual observations and their corresponding sound provides powerful self-supervisory signals for learning video representations, which makes the eve…

cs.CV2020

Parameter Efficient Multimodal Transformers for Video Representation Learning

Sangho Lee, Youngjae Yu, Gunhee Kim +3

The recent success of Transformers in the language domain has motivated adapting it to a multimodal setting, where a new visual model is trained in tandem with an already pretraine…

cs.CV2018

A Memory Network Approach for Story-based Temporal Summarization of 360° Videos

Sangho Lee, Jinyoung Sung, Youngjae Yu +1

We address the problem of story-based temporal summarization of long 360° videos. We propose a novel memory network model named Past-Future Memory Network (PFMN), in which we first…

cs.CV20187 cited

A Deep Ranking Model for Spatio-Temporal Highlight Detection from a 360 Video

Youngjae Yu, Sangho Lee, Joonil Na +2

We address the problem of highlight detection from a 360 degree video by summarizing it both spatially and temporally. Given a long 360 degree video, we spatially select pleasantly…

cs.CV20176 cited

Encoding Video and Label Priors for Multi-label Video Classification on YouTube-8M dataset

Seil Na, Youngjae Yu, Sangho Lee +2

YouTube-8M is the largest video dataset for multi-label video classification. In order to tackle the multi-label classification on this challenging dataset, it is necessary to solv…