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20172025
most citedCo-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation

124 citations · 188 across the 9 of their papers we have counts for

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11 papers · 1 filter

cs.CV2025

Boosting Multi-View Stereo with Depth Foundation Model in the Absence of Real-World Labels

Jie Zhu, Bo Peng, Zhe Zhang +2

Learning-based Multi-View Stereo (MVS) methods have made remarkable progress in recent years. However, how to effectively train the network without using real-world labels remains…

cs.CV2025

Stereo Image Coding for Machines with Joint Visual Feature Compression

Dengchao Jin, Jianjun Lei, Bo Peng +3

2D image coding for machines (ICM) has achieved great success in coding efficiency, while less effort has been devoted to stereo image fields. To promote the efficiency of stereo i…

cs.CV2022

PSNet: Parallel Symmetric Network for Video Salient Object Detection

Runmin Cong, Weiyu Song, Jianjun Lei +3

For the video salient object detection (VSOD) task, how to excavate the information from the appearance modality and the motion modality has always been a topic of great concern. T…

cs.CV2021

Novel View Synthesis from a Single Image via Unsupervised learning

Bingzheng Liu, Jianjun Lei, Bo Peng +3

View synthesis aims to generate novel views from one or more given source views. Although existing methods have achieved promising performance, they usually require paired views of…

cs.CV201962 cited

Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval

Jianjun Lei, Yuxin Song, Bo Peng +3

Sketch-based image retrieval (SBIR) is a challenging task due to the large cross-domain gap between sketches and natural images. How to align abstract sketches and natural images i…

cs.CV2018

HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images

Runmin Cong, Jianjun Lei, Huazhu Fu +3

Co-saliency detection aims to discover common and salient objects in an image group containing more than two relevant images. Moreover, depth information has been demonstrated to b…