most citedScene Graph Generation with External Knowledge and Image Reconstruction

30 citations · 66 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.CV2019

Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering

Zhao Zhang, Yan Zhang, Sheng Li +4

Concept Factorization (CF) and its variants may produce inaccurate representation and clustering results due to the sensitivity to noise, hard constraint on the reconstruction erro…

cs.CV2019

Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation

Zhao Zhang, Jiahuan Ren, Sheng Li +3

We propose a novel and unsupervised representation learning model, i.e., Robust Block-Diagonal Adaptive Locality-constrained Latent Representation (rBDLR). rBDLR is able to recover…

cs.CV20194 cited

Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning

Zhao Zhang, Weiming Jiang, Zheng Zhang +3

We propose a novel structured discriminative block-diagonal dictionary learning method, referred to as scalable Locality-Constrained Projective Dictionary Learning (LC-PDL), for ef…

cs.CV20194 cited

Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering

Zhao Zhang, Yan Zhang, Sheng Li +3

We investigate the high-dimensional data clustering problem by proposing a novel and unsupervised representation learning model called Robust Flexible Auto-weighted Local-coordinat…

cs.CV20193 cited

SADIH: Semantic-Aware DIscrete Hashing

Zheng Zhang, Guo-sen Xie, Yang Li +2

Due to its low storage cost and fast query speed, hashing has been recognized to accomplish similarity search in large-scale multimedia retrieval applications. Particularly supervi…

cs.CV201930 cited

Scene Graph Generation with External Knowledge and Image Reconstruction

Jiuxiang Gu, Handong Zhao, Zhe Lin +3

Scene graph generation has received growing attention with the advancements in image understanding tasks such as object detection, attributes and relationship prediction,~\etc. How…