39 citations · 159 across the 37 of their papers we have counts for
7 papers · 1 filter
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…
Learning Semantic Correspondence Exploiting an Object-level Prior
Junghyup Lee, Dohyung Kim, Wonkyung Lee +2
We address the problem of semantic correspondence, that is, establishing a dense flow field between images depicting different instances of the same object or scene category. We pr…
Learning Disentangled Representation for Robust Person Re-identification
Chanho Eom, Bumsub Ham
We address the problem of person re-identification (reID), that is, retrieving person images from a large dataset, given a query image of the person of interest. A key challenge is…
Deformable Kernel Networks for Joint Image Filtering
Beomjun Kim, Jean Ponce, Bumsub Ham
Joint image filters are used to transfer structural details from a guidance picture used as a prior to a target image, in tasks such as enhancing spatial resolution and suppressing…
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…
SFNet: Learning Object-aware Semantic Correspondence
Junghyup Lee, Dohyung Kim, Jean Ponce +1
We address the problem of semantic correspondence, that is, establishing a dense flow field between images depicting different instances of the same object or scene category. We pr…