8 citations · 41 across the 34 of their papers we have counts for
4 papers · 2 filters
Multi-object tracking with self-supervised associating network
Tae-young Chung, Heansung Lee, Myeong Ah Cho +2
Multi-Object Tracking (MOT) is the task that has a lot of potential for development, and there are still many problems to be solved. In the traditional tracking by detection paradi…
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features
MyeongAh Cho, Taeoh Kim, Woo Jin Kim +2
In contemporary society, surveillance anomaly detection, i.e., spotting anomalous events such as crimes or accidents in surveillance videos, is a critical task. As anomalies occur…
PMVOS: Pixel-Level Matching-Based Video Object Segmentation
Suhwan Cho, Heansung Lee, Sungmin Woo +2
Semi-supervised video object segmentation (VOS) aims to segment arbitrary target objects in video when the ground truth segmentation mask of the initial frame is provided. Due to t…
CRVOS: Clue Refining Network for Video Object Segmentation
Suhwan Cho, MyeongAh Cho, Tae-young Chung +2
The encoder-decoder based methods for semi-supervised video object segmentation (Semi-VOS) have received extensive attention due to their superior performances. However, most of th…