activity
20162026
most citedMaxMatch: Semi-Supervised Learning with Worst-Case Consistency

34 citations · 238 across the 76 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

eess.IV2020

NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal

Chongyi Li, Huazhu Fu, Runmin Cong +2

Retinal images have been widely used by clinicians for early diagnosis of ocular diseases. However, the quality of retinal images is often clinically unsatisfactory due to eye lesi…

cs.CV2020★ 10 cited

RGB-D Salient Object Detection with Cross-Modality Modulation and Selection

Chongyi Li, Runmin Cong, Yongri Piao +2

We present an effective method to progressively integrate and refine the cross-modality complementarities for RGB-D salient object detection (SOD). The proposed network mainly solv…

cs.LG2020★ 4 cited

Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction

Zhiyong Yang, Qianqian Xu, Xiaochun Cao +1

As an effective learning paradigm against insufficient training samples, Multi-Task Learning (MTL) encourages knowledge sharing across multiple related tasks so as to improve the o…

cs.CV2020★ 14 cited

Global Context-Aware Progressive Aggregation Network for Salient Object Detection

Zuyao Chen, Qianqian Xu, Runmin Cong +1

Deep convolutional neural networks have achieved competitive performance in salient object detection, in which how to learn effective and comprehensive features plays a critical ro…

cs.CV2020

DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection

Zuyao Chen, Runmin Cong, Qianqian Xu +1

There are two main issues in RGB-D salient object detection: (1) how to effectively integrate the complementarity from the cross-modal RGB-D data; (2) how to prevent the contaminat…