activity
20162020
most citedImage Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach

39 citations · 71 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2020★ 4 cited

Dense Relational Image Captioning via Multi-task Triple-Stream Networks

Dong-Jin Kim, Tae-Hyun Oh, Jinsoo Choi +1

We introduce dense relational captioning, a novel image captioning task which aims to generate multiple captions with respect to relational information between objects in a visual…

cs.CV2020★ 14 cited

Detecting Human-Object Interactions with Action Co-occurrence Priors

Dong-Jin Kim, Xiao Sun, Jinsoo Choi +2

A common problem in human-object interaction (HOI) detection task is that numerous HOI classes have only a small number of labeled examples, resulting in training sets with a long-…

cs.CV2019

Deep Iterative Frame Interpolation for Full-frame Video Stabilization

Jinsoo Choi, In So Kweon

Video stabilization is a fundamental and important technique for higher quality videos. Prior works have extensively explored video stabilization, but most of them involve cropping…

cs.CV2019★ 39 cited

Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach

Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh +1

Constructing an organized dataset comprised of a large number of images and several captions for each image is a laborious task, which requires vast human effort. On the other hand…

cs.CV2019★ 7 cited

Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning

Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh +1

Our goal in this work is to train an image captioning model that generates more dense and informative captions. We introduce "relational captioning," a novel image captioning task…

cs.CV2018★ 3 cited

Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks

Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh +2

Human behavior understanding is arguably one of the most important mid-level components in artificial intelligence. In order to efficiently make use of data, multi-task learning ha…

cs.CV2016★ 4 cited

Human Attention Estimation for Natural Images: An Automatic Gaze Refinement Approach

Jinsoo Choi, Tae-Hyun Oh, In So Kweon

Photo collections and its applications today attempt to reflect user interactions in various forms. Moreover, photo collections aim to capture the users' intention with minimum eff…