most citedExploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection

124 citations · 240 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

A Novel Long-term Iterative Mining Scheme for Video Salient Object Detection

Chenglizhao Chen, Hengsen Wang, Yuming Fang +1

The existing state-of-the-art (SOTA) video salient object detection (VSOD) models have widely followed short-term methodology, which dynamically determines the balance between spat…

cs.CV2020★ 3 cited

Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure Similarity

Chenglizhao Chen, Hongmeng Zhao, Huan Yang +2

The screen content images (SCIs) usually comprise various content types with sharp edges, in which the artifacts or distortions can be well sensed by the vanilla structure similari…

cs.CV2020★ 111 cited

Depth Quality Aware Salient Object Detection

Chenglizhao Chen, Jipeng Wei, Chong Peng +1

The existing fusion based RGB-D salient object detection methods usually adopt the bi-stream structure to strike the fusion trade-off between RGB and depth (D). The D quality usual…

cs.CV2020★ 124 cited

Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection

Chenglizhao Chen, Guotao Wang, Chong Peng +3

The current main stream methods formulate their video saliency mainly from two independent venues, i.e., the spatial and temporal branches. As a complementary component, the main t…

cs.CV2020★ 2 cited

A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception

Chenglizhao Chen, Jia Song, Chong Peng +2

Previous video salient object detection (VSOD) approaches have mainly focused on designing fancy networks to achieve their performance improvements. However, with the slow-down in…