20 citations · 49 across the 6 of their papers we have counts for
7 papers
Deep Hierarchical Semantic Segmentation
Liulei Li, Tianfei Zhou, Wenguan Wang +2
Humans are able to recognize structured relations in observation, allowing us to decompose complex scenes into simpler parts and abstract the visual world in multiple levels. Howev…
Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation
Tianfei Zhou, Meijie Zhang, Fang Zhao +1
Learning semantic segmentation from weakly-labeled (e.g., image tags only) data is challenging since it is hard to infer dense object regions from sparse semantic tags. Despite bei…
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation
Tianfei Zhou, Liulei Li, Gustav Bredell +2
Despite recent progress of automatic medical image segmentation techniques, fully automatic results usually fail to meet the clinical use and typically require further refinement.…
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation
Tianfei Zhou, Jianwu Li, Xueyi Li +1
This paper addresses the task of unsupervised video multi-object segmentation. Current approaches follow a two-stage paradigm: 1) detect object proposals using pre-trained Mask R-C…
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
Xueyi Li, Tianfei Zhou, Jianwu Li +2
Acquiring sufficient ground-truth supervision to train deep visual models has been a bottleneck over the years due to the data-hungry nature of deep learning. This is exacerbated i…
DTDN: Dual-task De-raining Network
Zheng Wang, Jianwu Li, Ge Song
Removing rain streaks from rainy images is necessary for many tasks in computer vision, such as object detection and recognition. It needs to address two mutually exclusive objecti…