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 Yang Yang

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Average citations per article2.69
Citation Count78
Publication count29
Publication years2014-2018
Available for download21
Average downloads per article311.81
Downloads (cumulative)6,548
Downloads (12 Months)1,962
Downloads (6 Weeks)221
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29 results found Export Results: bibtexendnoteacmrefcsv

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1
March 2018 Pattern Recognition: Volume 75 Issue C, March 2018
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 0

We propose a novel supervised hashing scheme to generate high-quality hash codes and hash functions for facilitating large-scale multimedia applications.We devise an effective binary code modeling approach based on l2,p-norm, which can adaptively induce sample-wise sparsity, to perform automatic code selection as well as noisy samples identification.We preserve the discrete ...
Keywords: Discrete optimization., Robust modeling, Supervised hashing

2 published by ACM
November 2017 CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 41,   Downloads (12 Months): 84,   Downloads (Overall): 84

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Recently, hashing has been evidenced as an efficient and effective method to facilitate large-scale video retrieval. Most of existing hashing methods are based on visual features, which are expected to capture the appearance of videos. The intrinsic temporal pattern embedded in videos has also shown its discriminative power for similarity ...
Keywords: video hashing, deep learning, learning to hash, lstm, visual content retrieval

3 published by ACM
October 2017 MM '17: Proceedings of the 2017 ACM on Multimedia Conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 21,   Downloads (12 Months): 65,   Downloads (Overall): 65

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With the proliferation of e-commerce websites and the ubiquitousness of smart phones, cross-domain image retrieval using images taken by smart phones as queries to search products on e-commerce websites is emerging as a popular application. One challenge of this task is to locate the attention of both the query and ...
Keywords: attention modeling, cross-domain image retrieval, fashion product, deep learning

4 published by ACM
October 2017 MM '17: Proceedings of the 2017 ACM on Multimedia Conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 8,   Downloads (12 Months): 38,   Downloads (Overall): 38

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Subspace representations have been widely applied for videos in many tasks. In particular, the subspace-based query-by-image video retrieval (QBIVR), facing high challenges on similarity-preserving measurements and efficient retrieval schemes, urgently needs considerable research attention. In this paper, we propose a novel subspace-based QBIVR framework to enable efficient video search. We ...
Keywords: asymmetric hashing, query-by-image, geometry-preserving distance metric, video retrieval

5 published by ACM
October 2017 MM '17: Proceedings of the 2017 ACM on Multimedia Conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 51,   Downloads (12 Months): 452,   Downloads (Overall): 452

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Cross-modal retrieval aims to enable flexible retrieval experience across different modalities ( e.g., texts vs. images). The core of cross-modal retrieval research is to learn a common subspace where the items of different modalities can be directly compared to each other. In this paper, we present a novel Adversarial Cross-Modal ...
Keywords: adversarial learning, cross-modal retrieval, modality gap

6
August 2017 Neurocomputing: Volume 253 Issue C, August 2017
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

Hashing techniques show significant advantage in dealing with enormous high-dimensional image and multimedia data. Specifically, learning based hashing methods attract a lot of attention from researchers thanks to its great performance in image retrieval. But discrete constraint problem of learning based hashing methods makes the optimization extremely difficult, which can ...
Keywords: Multimedia retrieval, Adaptive discrete optimization, Hashing

7
December 2016 Neurocomputing: Volume 217 Issue C, December 2016
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 1

In recent years, multimedia event detection has been attracting extensive research attention because of the exponential increase in volume of web video data. Traditional approaches usually utilize single visual representation, which may suffer from the problem of insufficient descriptive power. How to jointly employ multiple types of visual representation to ...
Keywords: Co-training, Multimedia event detection, Convolutional neural network

8
November 2016 Pattern Recognition: Volume 59 Issue C, November 2016
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 0

In the past decade, linear representation based face recognition has become a very popular research subject in computer vision. This method assumes that faces belonging to one individual reside in a low-dimensional linear subspace. In real-world applications, however, face images usually are of degraded quality due to expression variations, disguises, ...
Keywords: Ensemble learning, Face recognition, Linear representation

9
October 2016 Neurocomputing: Volume 208 Issue C, October 2016
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

Hashing is an attracting technique for fast retrieval due to its low storage and computation costs. By hashing, each high-dimensional vector is mapped into a low-dimensional binary code vector and retrieval is performed in the Hamming space. Recently several hashing methods have been proposed, among which, supervised hashing methods have ...
Keywords: Hashing, Image retrieval, Binary code learning

10 published by ACM
October 2016 MM '16: Proceedings of the 2016 ACM on Multimedia Conference
Publisher: ACM
Bibliometrics:
Citation Count: 11
Downloads (6 Weeks): 8,   Downloads (12 Months): 198,   Downloads (Overall): 314

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Hashing has shown its efficiency and effectiveness in facilitating large-scale multimedia applications. Supervised knowledge (\emph{e.g.}, semantic labels or pair-wise relationship) associated to data is capable of significantly improving the quality of hash codes and hash functions. However, confronted with the rapid growth of newly-emerging concepts and multimedia data on the ...
Keywords: zero-shot hashing, supervised knowledge transfer, discrete hashing, semantic alignment

11 published by ACM
October 2016 MM '16: Proceedings of the 2016 ACM on Multimedia Conference
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 11,   Downloads (12 Months): 156,   Downloads (Overall): 230

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Video captioning has been attracting broad research attention in multimedia community. However, most existing approaches either ignore temporal information among video frames or just employ local contextual temporal knowledge. In this work, we propose a novel video captioning framework, termed as \emph{Bidirectional Long-Short Term Memory} (BiLSTM), which deeply captures bidirectional ...
Keywords: bidirectional long-short term memory, video captioning

12 published by ACM
October 2016 MM '16: Proceedings of the 2016 ACM on Multimedia Conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 14,   Downloads (12 Months): 136,   Downloads (Overall): 253

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Cross-modal retrieval has been attracting increasing attention because of the explosion of multi-modal data, e.g., texts and images. Most supervised cross-modal retrieval methods learn discriminant common subspaces minimizing the heterogeneity of different modalities by exploiting the label information. However, these methods neglect the fact that, in practice, the given labels ...
Keywords: label completion, cross-modal retrieval

13
June 2016 Neurocomputing: Volume 195 Issue C, June 2016
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

Recent studies have witnessed the effectiveness of L 2 , 1 -norm based methods on AD/MCI diagnosis. Nonetheless, most of them suffer from the following three main problems: (1) L 2 , 1 -norm based loss function does not take into account different distances between target labels and prediction values; ...
Keywords: Alzheimer's Disease (AD), Sparse learning, L 2 , 1 -norm, Mild Cognitive Impairment (MCI), Multi-modality learning, Multi-task learning

14 published by ACM
June 2016 ICMR '16: Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 5,   Downloads (12 Months): 58,   Downloads (Overall): 105

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Hashing based methods have attracted considerable attention for efficient cross-modal retrieval on large-scale multimedia data. The core problem of cross-modal hashing is how to effectively integrate heterogeneous features from different modalities to learn hash functions using available supervising information, e.g., class labels. Existing hashing based methods generally project heterogeneous features ...
Keywords: cross-modal hashing, cross-modal retrieval, discriminant analysis

15
June 2016 Pattern Recognition: Volume 54 Issue C, June 2016
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 2

We propose a very simple, efficient yet surprisingly effective feature extraction method for face recognition (about 20 lines of Matlab codes), which is mainly inspired by spatial pyramid pooling in generic image classification. We show that, coupled with a linear classifier, features formed by simply pooling local patches over a ...
Keywords: Feature pooling, Image classification, Face recognition

16
April 2016 Neurocomputing: Volume 187 Issue C, April 2016
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

Automatic face recognition has received significant performance improvement by developing specialized facial image representations. On the other hand, spatial pyramid pooling of features encoded by an over-complete dictionary has been the key component of many state-of-the-art generic objective classification systems. Inspired by its success, in this work we develop a ...
Keywords: Image classification, Face recognition, Second-order pooling

17 published by ACM
October 2015 MM '15: Proceedings of the 23rd ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 49,   Downloads (Overall): 227

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With the explosive increasing of web image data, image annotation has become a critical research issue for image semantic index and search. In this work, we propose a novel model, termed as multi-view semi-supervised learning (MVSSL), for robust image annotation task. Specifically, we exploit both labeled images and unlabeled images ...
Keywords: image annotation, multi-view learning, semi-supervised learning

18 published by ACM
October 2015 MM '15: Proceedings of the 23rd ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 4,   Downloads (12 Months): 44,   Downloads (Overall): 363

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Nowadays the locations of social images play an important role in geographic knowledge discovery. However, most social images still lack the location information, driving location estimation for social images to have recently become an active research topic. With the rapid growth of social images, new challenges have been posed: 1) ...
Keywords: geotagging, multimodal, location estimation

19 published by ACM
October 2015 MM '15: Proceedings of the 23rd ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 8,   Downloads (12 Months): 193,   Downloads (Overall): 740

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As one of the most representative social media platforms, Twitter provides various real-life information on social events in real time. Despite that social event detection has been actively studied, tweet images, which appear in around 36 percent of the total tweets, have not been well utilized for this research problem. ...
Keywords: event visualization, event tracking, twitter event detection

20 published by ACM
October 2015 MM '15: Proceedings of the 23rd ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 8,   Downloads (12 Months): 65,   Downloads (Overall): 283

Full text available: PDFPDF
Nowadays massive amount of images and texts has been emerging on the Internet, arousing the demand of effective cross-modal retrieval such as text-to-image search and image-to-text search. To eliminate the heterogeneity between the modalities of images and texts, the existing subspace learning methods try to learn a common latent subspace ...
Keywords: coupled dictionary learning, cross-modal retrieval, semi-supervised learning



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