40 citations · 53 across the 7 of their papers we have counts for
7 papers
Finding Optimal Video Moment without Training: Gaussian Boundary Optimization for Weakly Supervised Video Grounding
Sunoh Kim, Kimin Yun, Daeho Um
Weakly supervised temporal video grounding aims to localize query-relevant segments in untrimmed videos using only video-sentence pairs, without requiring ground-truth segment anno…
Face Shape-Guided Deep Feature Alignment for Face Recognition Robust to Face Misalignment
Hyung-Il Kim, Kimin Yun, Yong Man Ro
For the past decades, face recognition (FR) has been actively studied in computer vision and pattern recognition society. Recently, due to the advances in deep learning, the FR tec…
Position-aware Location Regression Network for Temporal Video Grounding
Sunoh Kim, Kimin Yun, Jin Young Choi
The key to successful grounding for video surveillance is to understand a semantic phrase corresponding to important actors and objects. Conventional methods ignore comprehensive c…
Robust Pedestrian Attribute Recognition Using Group Sparsity for Occlusion Videos
Geonu Lee, Kimin Yun, Jungchan Cho
Occlusion processing is a key issue in pedestrian attribute recognition (PAR). Nevertheless, several existing video-based PAR methods have not yet considered occlusion handling in…
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification
Youngwan Lee, Hyung-Il Kim, Kimin Yun +1
Video classification researches that have recently attracted attention are the fields of temporal modeling and 3D efficient architecture. However, the temporal modeling methods are…
Localization Uncertainty Estimation for Anchor-Free Object Detection
Youngwan Lee, Joong-won Hwang, Hyung-Il Kim +4
Since many safety-critical systems, such as surgical robots and autonomous driving cars operate in unstable environments with sensor noise and incomplete data, it is desirable for…
Skeleton-based Action Recognition of People Handling Objects
Sunoh Kim, Kimin Yun, Jongyoul Park +1
In visual surveillance systems, it is necessary to recognize the behavior of people handling objects such as a phone, a cup, or a plastic bag. In this paper, to address this proble…