Donghun Yeo

2 accepted papers

2017

Superpixel-Based Tracking-By-Segmentation Using Markov Chains

Donghun Yeo, Jeany Son, Bohyung Han, Joon Hee Han

CVPR 2017poster

We propose a simple but effective tracking-by-segmentation algorithm using Absorbing Markov Chain (AMC) on superpixel segmentation, where target state is estimated by a combination of bottom-up and top-down approaches, and target segmentation is propagated to subsequent frames in a recursive manner.…

Cited by 98 PDF ↗Scholar ↗

2017

Weakly Supervised Semantic Segmentation Using Web-Crawled Videos

Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han

CVPR 2017spotlight

We propose a novel algorithm for weakly supervised semantic segmentation based on image-level class labels only. In weakly supervised setting, it is commonly observed that trained model overly focuses on discriminative parts rather than the entire object area. Our goal is to overcome this limitation…

Cited by 191 PDF ↗Scholar ↗