53 citations · 133 across the 19 of their papers we have counts for
28 papers · 1 filter
RainUNet for Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts
Jinyoung Park, Minseok Son, Seungju Cho +2
This paper presents a solution to the Weather4cast 2022 Challenge Stage 2. The goal of the challenge is to forecast future high-resolution rainfall events obtained from ground rada…
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition
Minki Jeong, Changick Kim
Real-world data often have a long-tailed distribution, where the number of samples per class is not equal over training classes. The imbalanced data form a biased feature space, wh…
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…
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…
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…