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20192021
most citedLearning Synergistic Attention for Light Field Salient Object Detection

11 citations · 22 across the 7 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 1 cited

SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos

Yi Zhang, Lu Zhang, Kang Wang +2

Salient human detection (SHD) in dynamic 360° immersive videos is of great importance for various applications such as robotics, inter-human and human-object interaction in augment…

cs.CV2021★ 4 cited

CMA-Net: A Cascaded Mutual Attention Network for Light Field Salient Object Detection

Yi Zhang, Lu Zhang, Wassim Hamidouche +1

In the past few years, numerous deep learning methods have been proposed to address the task of segmenting salient objects from RGB images. However, these approaches depending on s…

eess.IV2021★ 3 cited

Conditional Coding for Flexible Learned Video Compression

Théo Ladune, Pierrick Philippe, Wassim Hamidouche +2

This paper introduces a novel framework for end-to-end learned video coding. Image compression is generalized through conditional coding to exploit information from reference frame…

cs.NE2021★ 1 cited

Conditional Coding and Variable Bitrate for Practical Learned Video Coding

Théo Ladune, Pierrick Philippe, Wassim Hamidouche +2

This paper introduces a practical learned video codec. Conditional coding and quantization gain vectors are used to provide flexibility to a single encoder/decoder pair, which is a…

cs.CV2021★ 11 cited

Learning Synergistic Attention for Light Field Salient Object Detection

Yi Zhang, Geng Chen, Qian Chen +5

We propose a novel Synergistic Attention Network (SA-Net) to address the light field salient object detection by establishing a synergistic effect between multi-modal features with…