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22 papers · 1 filter
Clustering Ensemble Meets Low-rank Tensor Approximation
Yuheng Jia, Hui Liu, Junhui Hou +1
This paper explores the problem of clustering ensemble, which aims to combine multiple base clusterings to produce better performance than that of the individual one. The existing…
ParaNet: Deep Regular Representation for 3D Point Clouds
Qijian Zhang, Junhui Hou, Yue Qian +2
Although convolutional neural networks have achieved remarkable success in analyzing 2D images/videos, it is still non-trivial to apply the well-developed 2D techniques in regular…
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
Yiming Zeng, Yue Qian, Zhiyu Zhu +3
Motivated by the intuition that one can transform two aligned point clouds to each other more easily and meaningfully than a misaligned pair, we propose CorrNet3D -- the first unsu…
Maximum Entropy Subspace Clustering Network
Zhihao Peng, Yuheng Jia, Hui Liu +2
Deep subspace clustering networks have attracted much attention in subspace clustering, in which an auto-encoder non-linearly maps the input data into a latent space, and a fully c…
Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression
Qi Liu, Hui Yuan, Raouf Hamzaoui +3
In rate-distortion optimization, the encoder settings are determined by maximizing a reconstruction quality measure subject to a constraint on the bit rate. One of the main challen…
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
Qijian Zhang, Runmin Cong, Junhui Hou +2
Co-Salient Object Detection (CoSOD) aims at discovering salient objects that repeatedly appear in a given query group containing two or more relevant images. One challenging issue…