39 citations · 46 across the 4 of their papers we have counts for
5 papers
Disentangled Representations for Short-Term and Long-Term Person Re-Identification
Chanho Eom, Wonkyung Lee, Geon Lee +1
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…
Improving Siamese Based Trackers with Light or No Training through Multiple Templates and Temporal Network
Ali Sekhavati, Won-Sook Lee
High computational power and significant time are usually needed to train a deep learning based tracker on large datasets. Depending on many factors, training might not always be a…
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation
Geon Lee, Chanho Eom, Wonkyung Lee +2
We present a novel unsupervised domain adaptation method for semantic segmentation that generalizes a model trained with source images and corresponding ground-truth labels to a ta…
Learning with Privileged Information for Efficient Image Super-Resolution
Wonkyung Lee, Junghyup Lee, Dohyung Kim +1
Convolutional neural networks (CNNs) have allowed remarkable advances in single image super-resolution (SISR) over the last decade. Most SR methods based on CNNs have focused on ac…
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…