Fully Convolutional Instance-Aware Semantic Segmentation
We present the first fully convolutional end-to-end solution for instance-aware semantic segmentation task. It inherits all the merits of FCNs for semantic segmentation [29] and...
Publications
3 shownDeformable ConvNets V2: More Deformable, Better Results
The superior performance of Deformable Convolutional Networks arises from its ability to adapt to the geometric variations of objects. Through an examination of its adaptive beh...
Relation Networks for Object Detection
Although it is well believed for years that modeling relations between objects would help object recognition, there has not been evidence that the idea is working in the deep le...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 5,044
- Institution
- Microsoft Research Asia (China)
External Links
Identifiers
- ORCID
- 0000-0002-6785-0785
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.