47 citations · 50 across the 7 of their papers we have counts for
6 papers · 1 filter
Egocentric Scene Understanding via Multimodal Spatial Rectifier
Tien Do, Khiem Vuong, Hyun Soo Park
In this paper, we study a problem of egocentric scene understanding, i.e., predicting depths and surface normals from an egocentric image. Egocentric scene understanding poses unpr…
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…
Self-supervised 3D Representation Learning of Dressed Humans from Social Media Videos
Yasamin Jafarian, Hyun Soo Park
A key challenge of learning a visual representation for the 3D high fidelity geometry of dressed humans lies in the limited availability of the ground truth data (e.g., 3D scanned…
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…
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…
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…