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20172024
most citedContext-aware Deep Feature Compression for High-speed Visual Tracking

246 citations · 308 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

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…

cs.CV2022★ 1 cited

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…

cs.CV2018★ 246 cited

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…

cs.CV2017★ 58 cited

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…

cs.CV2017★ 3 cited

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…