214 citations · 712 across the 42 of their papers we have counts for
9 papers · 1 filter
Geometrically Adaptive Dictionary Attack on Face Recognition
Junyoung Byun, Hyojun Go, Changick Kim
CNN-based face recognition models have brought remarkable performance improvement, but they are vulnerable to adversarial perturbations. Recent studies have shown that adversaries…
Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation
Byeongjun Park, Taekyung Kim, Hyojun Go +1
Photometric consistency loss is one of the representative objective functions commonly used for self-supervised monocular depth estimation. However, this loss often causes unstable…
Learning to Discriminate Information for Online Action Detection: Analysis and Application
Sumin Lee, Hyunjun Eun, Jinyoung Moon +4
Online action detection, which aims to identify an ongoing action from a streaming video, is an important subject in real-world applications. For this task, previous methods use re…
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes
Dongki Jung, Jaehoon Choi, Yonghan Lee +4
We present a novel approach for estimating depth from a monocular camera as it moves through complex and crowded indoor environments, e.g., a department store or a metro station. O…
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu +2
Detecting and localizing image manipulation are necessary to counter malicious use of image editing techniques. Accordingly, it is essential to distinguish between authentic and ta…
Improving Few-shot Learning with Weakly-supervised Object Localization
Inyong Koo, Minki Jeong, Changick Kim
Few-shot learning often involves metric learning-based classifiers, which predict the image label by comparing the distance between the extracted feature vector and class represent…