994 citations · 1.3k across the 13 of their papers we have counts for
8 papers · 1 filter
Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance
Nian Liu, Wangbo Zhao, Dingwen Zhang +2
The application of light field data in salient object de-tection is becoming increasingly popular recently. The diffi-culty lies in how to effectively fuse the features within the…
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
Ni Zhang, Junwei Han, Nian Liu +1
Humans perform co-saliency detection by first summarizing the consensus knowledge in the whole group and then searching corresponding objects in each image. Previous methods usuall…
Oriented R-CNN for Object Detection
Xingxing Xie, Gong Cheng, Jiabao Wang +2
Current state-of-the-art two-stage detectors generate oriented proposals through time-consuming schemes. This diminishes the detectors' speed, thereby becoming the computational bo…
Instance-Level Relative Saliency Ranking with Graph Reasoning
Nian Liu, Long Li, Wangbo Zhao +2
Conventional salient object detection models cannot differentiate the importance of different salient objects. Recently, two works have been proposed to detect saliency ranking by…
A Multi-task Deep Feature Selection Method for Brain Imaging Genetics
Chenglin Yu, Dingnan Cui, Muheng Shang +5
Using brain imaging quantitative traits (QTs) to identify the genetic risk factors is an important research topic in imaging genetics. Many efforts have been made via building line…
Weakly Supervised Object Localization and Detection: A Survey
Dingwen Zhang, Junwei Han, Gong Cheng +1
As an emerging and challenging problem in the computer vision community, weakly supervised object localization and detection plays an important role for developing new generation c…