activity
20182023
most citedACE: Adaptive Confusion Energy for Natural World Data Distribution

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MM2023

BIRD-PCC: Bi-directional Range Image-based Deep LiDAR Point Cloud Compression

Chia-Sheng Liu, Jia-Fong Yeh, Hao Hsu +3

The large amount of data collected by LiDAR sensors brings the issue of LiDAR point cloud compression (PCC). Previous works on LiDAR PCC have used range image representations and f…

eess.IV2023

LSR: A Light-Weight Super-Resolution Method

Wei Wang, Xuejing Lei, Yueru Chen +2

A light-weight super-resolution (LSR) method from a single image targeting mobile applications is proposed in this work. LSR predicts the residual image between the interpolated lo…

cs.CV2019★ 2 cited

ACE: Adaptive Confusion Energy for Natural World Data Distribution

Yen-Chi Hsu, Cheng-Yao Hong, Wan-Cyuan Fan +3

With the development of deep learning, standard classification problems have achieved good results. However, conventional classification problems are often too idealistic. Most dat…

cs.CV2018★ 1 cited

Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation

Ye Wang, Jongmoo Choi, Yueru Chen +5

Unsupervised video object segmentation is a crucial application in video analysis without knowing any prior information about the objects. It becomes tremendously challenging when…

cs.CV2018★ 1 cited

Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation

Ye Wang, Jongmoo Choi, Yueru Chen +4

One major technique debt in video object segmentation is to label the object masks for training instances. As a result, we propose to prepare inexpensive, yet high quality pseudo g…