84 citations · 100 across the 4 of their papers we have counts for
4 papers
A Universal Model for Cross Modality Mapping by Relational Reasoning
Zun Li, Congyan Lang, Liqian Liang +4
With the aim of matching a pair of instances from two different modalities, cross modality mapping has attracted growing attention in the computer vision community. Existing method…
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation
Kuangqi Zhou, Qibin Hou, Zun Li +1
Object region mining is a critical step for weakly-supervised semantic segmentation. Most recent methods mine the object regions by expanding the seed regions localized by class ac…
Cross-layer Feature Pyramid Network for Salient Object Detection
Zun Li, Congyan Lang, Junhao Liew +3
Feature pyramid network (FPN) based models, which fuse the semantics and salient details in a progressive manner, have been proven highly effective in salient object detection. How…
Deep Reasoning with Multi-Scale Context for Salient Object Detection
Zun Li, Congyan Lang, Yunpeng Chen +2
To detect salient objects accurately, existing methods usually design complex backbone network architectures to learn and fuse powerful features. However, the saliency inference mo…