activity
20192022
most citedRelation Network for Person Re-identification

3 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2022

Self-supervised Wide Baseline Visual Servoing via 3D Equivariance

Jinwook Huh, Jungseok Hong, Suveer Garg +2

One of the challenging input settings for visual servoing is when the initial and goal camera views are far apart. Such settings are difficult because the wide baseline can cause d…

cs.CV2021

Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences

Hyunjong Park, Sanghoon Lee, Junghyup Lee +1

We address the problem of visible-infrared person re-identification (VI-reID), that is, retrieving a set of person images, captured by visible or infrared cameras, in a cross-modal…

cs.CV2020

Learning Memory-guided Normality for Anomaly Detection

Hyunjong Park, Jongyoun Noh, Bumsub Ham

We address the problem of anomaly detection, that is, detecting anomalous events in a video sequence. Anomaly detection methods based on convolutional neural networks (CNNs) typica…

cs.CV20193 cited

Relation Network for Person Re-identification

Hyunjong Park, Bumsub Ham

Person re-identification (reID) aims at retrieving an image of the person of interest from a set of images typically captured by multiple cameras. Recent reID methods have shown th…

cs.CV2019

Temporally Consistent Depth Prediction with Flow-Guided Memory Units

Chanho Eom, Hyunjong Park, Bumsub Ham

Predicting depth from a monocular video sequence is an important task for autonomous driving. Although it has advanced considerably in the past few years, recent methods based on c…