activity
20172021
most citedSemantic Segmentation with Reverse Attention

16 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20212 cited

Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations

Kaitai Zhang, Bin Wang, Hong-Shuo Chen +3

The main challenge of dynamic texture synthesis lies in how to maintain spatial and temporal consistency in synthesized videos. The major drawback of existing dynamic texture synth…

cs.CV2018

Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks

Ye Wang, Yueru Chen, Jongmoo Choi +1

This paper reports a visible and thermal drone monitoring system that integrates deep-learning-based detection and tracking modules. The biggest challenge in adopting deep learning…

cs.CV20181 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.CV20181 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…

cs.CV201716 cited

Semantic Segmentation with Reverse Attention

Qin Huang, Chunyang Xia, Chihao Wu +4

Recent development in fully convolutional neural network enables efficient end-to-end learning of semantic segmentation. Traditionally, the convolutional classifiers are taught to…