246 citations · 308 across the 7 of their papers we have counts for
7 papers
Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples
Dae Ung Jo, Kyuewang Lee, JaeHo Chung +1
Securing a sufficient amount of paired data is important to train an image-text retrieval (ITR) model, but collecting paired data is very expensive. To address this issue, in this…
X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments
DongKi Noh, Changki Sung, Teayoung Uhm +12
In robotics and computer vision communities, extensive studies have been widely conducted regarding surveillance tasks, including human detection, tracking, and motion recognition…
Font Representation Learning via Paired-glyph Matching
Junho Cho, Kyuewang Lee, Jin Young Choi
Fonts can convey profound meanings of words in various forms of glyphs. Without typography knowledge, manually selecting an appropriate font or designing a new font is a tedious an…
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
Jiwoong Park, Minsik Lee, Hyung Jin Chang +2
We propose a symmetric graph convolutional autoencoder which produces a low-dimensional latent representation from a graph. In contrast to the existing graph autoencoders with asym…
Context-aware Deep Feature Compression for High-speed Visual Tracking
Jongwon Choi, Hyung Jin Chang, Tobias Fischer +5
We propose a new context-aware correlation filter based tracking framework to achieve both high computational speed and state-of-the-art performance among real-time trackers. The m…
Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras
Yeong-Jun Cho, Su-A Kim, Jae-Han Park +2
Person re-identification is the task of recognizing or identifying a person across multiple views in multi-camera networks. Although there has been much progress in person re-ident…
Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks
Yeong-Jun Cho, Jae-Han Park, Su-A Kim +2
Person re-identification in large-scale multi-camera networks is a challenging task because of the spatio-temporal uncertainty and high complexity due to large numbers of cameras a…