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- Fuxi GanSuggested from co-authorship
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Works375 from public data
- Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering758
A Multi-modal Factorized Bilinear (MFB) pooling approach to efficiently and effectively combine multi- modal features, which results in superior performance for VQA compared with other bilinear pooling approaches.
- Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering532
A DNN architecture is designed to integrate all these aforementioned modules into a unified model for achieving superior VQA performance and an ensemble of the authors' MFH models achieve the state-of-the-art performance on the large-scale VQ a data sets and win the runner-up in V QA Challenge 2017.
- Seeded region growing: an extensive and comparative study318
This work designs an automatic SRG algorithm, along with a boundary-oriented parallel pixel labeling technique and an automatic seed selection method, and a seed tracking algorithm is proposed for automatic moving object extraction.
- Boundary-aware context neural network for medical image segmentation261
A boundary-aware context neural network (BA-Net) for 2D medical image segmentation to capture richer context and preserve fine spatial information, which incorporates encoder-decoder architecture.
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- Towards mobility-based clustering185
Experimental results show that using 0.3% of vehicles as the samples, mobility-based clustering can accurately identify hot spots which can hardly be obtained by the latest representative algorithm UMicro.
- Fusion method for infrared and visible images by using non-negative sparse representation181
Compared with the classical and state-of-the-art methods, the experimental results have indicated that the NNSP method has better fusion performance in both noiseless and noisy situations.
- Topic oriented community detection through social objects and link analysis in social networks166
A topic oriented community detection approach which combines both social objects clustering and link analysis, which can achieve a better performance when the topics are at least as important as the links to the analysis.
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- Multi-level annotation of natural scenes using dominant image components and semantic concepts124
This paper proposes a multi-level approach to annotate the semantics of natural scenes by using both the dominant image components (salient objects) and the relevant semantic concepts to achieve automatic image annotation at the content level.
- Automatic image annotation by incorporating feature hierarchy and boosting to scale up SVM classifiers114
A hierarchical boosting algorithm is proposed by incorporating feature hierarchy and boosting to scale up SVM image classifier training in high-dimensional feature space and its experiments on a specific domain of natural images have obtained very positive results.
- NeXtVLAD: An Efficient Neural Network to Aggregate Frame-Level Features for Large-Scale Video Classification111
A fast and efficient network architecture, NeXtVLAD, to aggregate frame-level features into a compact feature vector for large-scale video classification, which turns out to be both effective and parameter efficient in aggregating temporal information.
- Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment107
An adaptive fractional dilated convolution (AFDC) is developed, which is aspect-ratio-embedded, composition-preserving and parameter-free, which can be easily implemented by common deep learning libraries and plugged into popular CNN architectures in a computation-efficient manner.
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- Ranking influential nodes in social networks based on node position and neighborhood97
This paper proposes a multi-attribute ranking method based on node position and neighborhood, with low computational complexity O(n), which can efficiently and accurately provide a more reasonable ranking list than previous approaches.
- Hierarchical classification for automatic image annotation92
A novel hyperbolic visualization framework is seamlessly incorporated to enable intuitive query specification and evaluation by acquainting the users with a good global view of large-scale image collections.
- Semantic Image Browser: Bridging Information Visualization with Automated Intelligent Image Analysis91
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- Exploring video content structure for hierarchical summarization86
A hierarchical video summarization scheme is introduced by executing various approaches at different levels of the video content hierarchy to statically or dynamically construct the video summary.
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- Automatic image annotation by using concept-sensitive salient objects for image content representation82
A multi-level approach to annotate the semantics of natural scenes by using both the dominant image components and the relevant semantic concepts and an adaptive EM algorithm has been proposed to determine the optimal model structure and model parameters simultaneously.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-13. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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