49 citations · 158 across the 43 of their papers we have counts for
9 papers · 1 filter
Pixel-Level Bijective Matching for Video Object Segmentation
Suhwan Cho, Heansung Lee, Minjung Kim +2
Semi-supervised video object segmentation (VOS) aims to track the designated objects present in the initial frame of a video at the pixel level. To fully exploit the appearance inf…
Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss
Chaewon Park, Minhyeok Lee, MyeongAh Cho +1
UNet-based methods have shown outstanding performance in salient object detection (SOD), but are problematic in two aspects. 1) Indiscriminately integrating the encoder feature, wh…
MKConv: Multidimensional Feature Representation for Point Cloud Analysis
Sungmin Woo, Dogyoon Lee, Sangwon Hwang +2
Despite the remarkable success of deep learning, an optimal convolution operation on point clouds remains elusive owing to their irregular data structure. Existing methods mainly f…
EdgeConv with Attention Module for Monocular Depth Estimation
Minhyeok Lee, Sangwon Hwang, Chaewon Park +1
Monocular depth estimation is an especially important task in robotics and autonomous driving, where 3D structural information is essential. However, extreme lighting conditions an…
FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation
Chaewon Park, MyeongAh Cho, Minhyeok Lee +1
Video anomaly detection has gained significant attention due to the increasing requirements of automatic monitoring for surveillance videos. Especially, the prediction based approa…
Regularization Strategy for Point Cloud via Rigidly Mixed Sample
Dogyoon Lee, Jaeha Lee, Junhyeop Lee +4
Data augmentation is an effective regularization strategy to alleviate the overfitting, which is an inherent drawback of the deep neural networks. However, data augmentation is rar…
Robust Lane Detection via Expanded Self Attention
Minhyeok Lee, Junhyeop Lee, Dogyoon Lee +3
The image-based lane detection algorithm is one of the key technologies in autonomous vehicles. Modern deep learning methods achieve high performance in lane detection, but it is s…
Test-Time Adaptation for Out-of-distributed Image Inpainting
Chajin Shin, Taeoh Kim, Sangjin Lee +1
Deep learning-based image inpainting algorithms have shown great performance via powerful learned prior from the numerous external natural images. However, they show unpleasant res…
A NIR-to-VIS face recognition via part adaptive and relation attention module
Rushuang Xu, MyeongAh Cho, Sangyoun Lee
In the face recognition application scenario, we need to process facial images captured in various conditions, such as at night by near-infrared (NIR) surveillance cameras. The ill…