Search Results for author: Jianglin Lu

Found 4 papers, 0 papers with code

Latent Graph Inference with Limited Supervision

no code implementations NeurIPS 2023 Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu

We begin by defining the pivotal nodes as $k$-hop starved nodes, which can be identified based on a given adjacency matrix.

Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning

no code implementations25 Jun 2022 Jianglin Lu, Jie zhou, Yudong Chen, Witold Pedrycz, Kwok-Wai Hung

Specifically, ATH characterizes the domain distribution gap by the discrepancy between two asymmetric hash functions, and minimizes the feature gap with the help of a novel adaptive bipartite graph constructed on cross-domain data.

Graph Learning Retrieval +1

Deep Superpixel Cut for Unsupervised Image Segmentation

no code implementations10 Mar 2021 Qinghong Lin, Weichan Zhong, Jianglin Lu

Most of the early algorithms are unsupervised methods, which use hand-crafted features to divide the image into many regions.

Clustering Image Segmentation +4

Cannot find the paper you are looking for? You can Submit a new open access paper.