Search Results - "Nie, Liqiang"

Scalable Deep Hashing for Large-Scale Social Image Retrieval by Cui, Hui, Zhu, Lei, Li, Jingjing, Yang, Yang, Nie, Liqiang

“…Recent years have witnessed the wide application of hashing for large-scale image retrieval, because of its high computation efficiency and low storage cost…”
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Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning by Liu, Meng, Nie, Liqiang, Wang, Xiang, Tian, Qi, Chen, Baoquan

“…Micro-videos have rapidly become one of the most dominant trends in the era of social media. Accordingly, how to organize them draws our attention. Distinct…”
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From action to activity: Sensor-based activity recognition by Liu, Ye, Nie, Liqiang, Liu, Li, Rosenblum, David S.

“…As compared to actions, activities are much more complex, but semantically they are more representative of a human׳s real life. Techniques for action…”
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SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning by Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, Tat-Seng Chua

“…Visual attention has been successfully applied in structural prediction tasks such as visual captioning and question answering. Existing visual attention…”
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Surface defect classification in large-scale strip steel image collection via hybrid chromosome genetic algorithm by Hu, Huijun, Liu, Ya, Liu, Maofu, Nie, Liqiang

“…In this paper, hybrid chromosome genetic algorithm is applied to establishing the real-time classification model for surface defects in a large-scale strip…”
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Predicting Image Memorability Through Adaptive Transfer Learning From External Sources by Jing, Peiguang, Su, Yuting, Nie, Liqiang, Gu, Huimin

“…Remembering images is an innate human capability. Camera images are captured by different people under varying environmental conditions, which leads to highly…”
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Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease by Nie, Liqiang, Zhang, Luming, Meng, Lei, Song, Xuemeng, Chang, Xiaojun, Li, Xuelong

“…Understanding the progression of chronic diseases can empower the sufferers in taking proactive care. To predict the disease status in the future time points,…”
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Disease Inference from Health-Related Questions via Sparse Deep Learning by Nie, Liqiang, Wang, Meng, Zhang, Luming, Yan, Shuicheng, Zhang, Bo, Chua, Tat-Seng

“…Automatic disease inference is of importance to bridge the gap between what online health seekers with unusual symptoms need and what busy human doctors with…”
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Discrete Hashing With Multiple Supervision by Luo, Xin, Zhang, Peng-Fei, Huang, Zi, Nie, Liqiang, Xu, Xin-Shun

“…Supervised hashing methods have achieved more promising results than unsupervised ones by leveraging label information to generate compact and accurate hash…”
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Data-Driven Answer Selection in Community QA Systems by Nie, Liqiang, Wei, Xiaochi, Zhang, Dongxiang, Wang, Xiang, Gao, Zhipeng, Yang, Yi

“…Finding similar questions from historical archives has been applied to question answering, with well theoretical underpinnings and great practical success…”
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Detecting Densely Distributed Graph Patterns for Fine-Grained Image Categorization by Zhang, Luming, Yang, Yang, Wang, Meng, Hong, Richang, Nie, Liqiang, Li, Xuelong

“…Fine-grained image categorization is a challenging task aiming at distinguishing objects belonging to the same basic-level category, e.g., leaf or mushroom. It…”
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Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge by Liqiang Nie, Yi-Liang Zhao, Akbari, Mohammad, Jialie Shen, Tat-Seng Chua

“…The vocabulary gap between health seekers and providers has hindered the cross-system operability and the inter-user reusability. To bridge this gap, this…”
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Weakly Supervised Multimodal Kernel for Categorizing Aerial Photographs by Xia, Yingjie, Zhang, Luming, Liu, Zhenguang, Nie, Liqiang, Li, Xuelong

“…Accurately distinguishing aerial photographs from different categories is a promising technique in computer vision. It can facilitate a series of applications,…”
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Large-Scale Tracking for Images With Few Textures by Guoyu Lu, Liqiang Nie, Sorensen, Scott, Kambhamettu, Chandra

“…Image tracking provides crucial insight for the image motion, which generates essential information for incremental structure-from-motion reconstruction and…”
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Beyond Text QA: Multimedia Answer Generation by Harvesting Web Information by LIQIANG NIE, MENG WANG, YUE GAO, ZHA, Zheng-Jun, CHUA, Tat-Seng

“…Community question answering (cQA) services have gained popularity over the past years. It not only allows community members to post and answer questions but…”
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PaintNet: A shape-constrained generative framework for generating clothing from fashion model by Lin, Junyu, Song, Xuemeng, Gan, Tian, Yao, Yiyang, Liu, Weifeng, Nie, Liqiang

“…Recent years have witnessed the proliferation of online fashion blogs and communities, where a large amount of fashion model images with chic clothes in…”
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Semantic-Based Location Recommendation With Multimodal Venue Semantics by Wang, Xiangyu, Zhao, Yi-Liang, Nie, Liqiang, Gao, Yue, Nie, Weizhi, Zha, Zheng-Jun, Chua, Tat-Seng

“…In recent years, we have witnessed a flourishing of location -based social networks. A well-formed representation of location knowledge is desired to cater to…”
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Multiview Physician-Specific Attributes Fusion for Health Seeking by Nie, Liqiang, Zhang, Luming, Yan, Yan, Chang, Xiaojun, Liu, Maofu, Shaoling, Ling

“…Community-based health services have risen as important online resources for resolving users health concerns. Despite the value, the gap between what health…”
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Retargeting Semantically-Rich Photos by Zhang, Luming, Wang, Meng, Nie, Liqiang, Hong, Liang, Rui, Yong, Tian, Qi

“…Semantically-rich photos contain a rich variety of semantic objects (e.g., pedestrians and bicycles). Retargeting these photos is a challenging task since each…”
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Weakly Supervised Human Fixations Prediction by Zhang, Luming, Li, Xuelong, Nie, Liqiang, Yang, Yi, Xia, Yingjie

“…Automatically predicting human eye fixations is a useful technique that can facilitate many multimedia applications, e.g., image retrieval, action recognition,…”
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