J. Tang

Publications
Influence

NUS-WIDE: a real-world web image database from National University of Singapore

Tat-Seng Chua, J. Tang, R. Hong, Haojie Li, Zhiping Luo, Y. Zheng
Computer Science
CIVR '09
8 July 2009

This paper introduces a web image dataset created by NUS's Lab for Media Search, with 269,648 images and the associated tags from Flickr, with a total of 5,018 unique tags. Expand

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Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm

Canyi Lu, J. Tang, S. Yan, Zhouchen Lin
Mathematics, Computer Science
IEEE Transactions on Image Processing
23 October 2015

We propose to use a family of nonconvex surrogates of L0-norm on the singular values of a matrix to approximate the rank function. Expand

Generalized Nonconvex Nonsmooth Low-Rank Minimization

Canyi Lu, J. Tang, S. Yan, Zhouchen Lin
Mathematics, Computer Science
IEEE Conference on Computer Vision and Pattern…
29 April 2014

We propose an Iteratively Reweighted Nuclear Norm (IRNN) algorithm to solve the nonconvex nonsmooth low-rank minimization problem. Expand

Outer Product-based Neural Collaborative Filtering

X. He, Xiaoyu Du, Xiang Wang, F. Tian, J. Tang, Tat-Seng Chua
Computer Science
IJCAI
13 July 2018

We propose to use an outer product to explicitly model the pairwise correlations between embedding dimensions of the embedding space in a multi-layer neural recommender model. Expand

Richer Convolutional Features for Edge Detection

Y. Liu, Ming-Ming Cheng, +4 authors J. Tang
Computer Science, Medicine
IEEE Transactions on Pattern Analysis and Machine…
7 December 2016

We propose richer convolutional features (RCF), a novel deep structure fully exploiting the CNN features from all the conv layers, to perform the pixel-wise prediction for edge detection in an image-to-image fashion. Expand

Camera Constraint-Free View-Based 3-D Object Retrieval

Yue Gao, J. Tang, +4 authors Tat-Seng Chua
Computer Science, Medicine
IEEE Transactions on Image Processing
1 April 2012

A camera constraint-free view-based (CCFV) 3-D object retrieval algorithm is proposed in this paper. Expand

Label to region by bi-layer sparsity priors

Xiaobai Liu, B. Cheng, S. Yan, J. Tang, Tat-Seng Chua, H. Jin
Computer Science
ACM Multimedia
19 October 2009

We propose a bi-layer sparse coding formulation for uncovering how an image or semantic region can be robustly reconstructed from the over-segmented image patches of an image set. Expand

Unified Video Annotation via Multigraph Learning

M. Wang, Xian-Sheng Hua, R. Hong, J. Tang, Guo-Jun Qi, Yan Song
Computer Science
IEEE Transactions on Circuits and Systems for…
1 May 2009

We propose a method named optimized multigraph-based semi-supervised learning (OMG-SSL), which aims to simultaneously tackle these difficulties in a unified scheme. Expand

Correlative multi-label video annotation

Guo-Jun Qi, Xian-Sheng Hua, Y. Rui, J. Tang, T. Mei, H. Zhang
Computer Science
ACM Multimedia
29 September 2007

We propose a third paradigm which simultaneously classifies concepts and models correlations between them in a single step by using a novel Correlative Multi-Label (CML) framework. Expand

Weakly-Supervised Dual Clustering for Image Semantic Segmentation

Yang Liu, J. Liu, Zechao Li, J. Tang, H. Lu
Mathematics, Computer Science
IEEE Conference on Computer Vision and Pattern…
23 June 2013

We propose a novel Weakly-Supervised Dual Clustering approach for image semantic segmentation with image-level labels, i.e., collaboratively performing image segmentation and tag alignment with those regions. Expand

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