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- Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval302
This paper introduces a novel binary coding method, named Deep Sketch Hashing (DSH), where a semi-heterogeneous deep architecture is proposed and incorporated into an end-to-end binary coding framework, and is the first hashing work specifically designed for category-level SBIR with an end to end deep architecture.
- RANet: Ranking Attention Network for Fast Video Object Segmentation241
This paper proposes a novel ranking attention module, which automatically ranks and selects these maps for fine-grained VOS performance, and develops a real-time yet very accurate Ranking Attention Network (RANet) for VOS.
- Parental harsh discipline in mainland China: Prevalence, frequency, and coexistence235
The study examined the prevalence, frequency, and coexistence of psychological aggression (PA), corporal punishment (CP), and severe physical abuse (SPA) in mainland China and highlighted the importance of studying these three types of parental harsh discipline simultaneously and intervening in harsh discipline by mothers and fathers within the same family.
- Accuracy and precision of digital volume correlation in quantifying displacements and strains in trabecular bone206
Differences as large as three-fold in accuracy and precision of the displacements and strains were found among DVC methods and among bone types, and these results demonstrate that the performance of the DVC technique can depend on trabecular structure.
- Quantization-based hashing: a general framework for scalable image and video retrieval182
Quantization-based Hashing (QBH) is a generic framework which incorporates the advantages of quantization error reduction methods into conventional property preserving hashing methods and can be applied to both unsupervised and supervised hashing methods.
- Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval180
A novel unsupervised deep learning framework for multimodal data search in a self-taught manner via integrating deep learning and matrix factorization with binary latent factor models that can generate unified binary codes by solving a discrete-constrained objective function directly.
- Zero-Shot Sketch-Image Hashing175
ZSIH is the first zero- shot hashing work suitable for SBIR and cross-modal search and forms a generative hashing scheme in reconstructing semantic knowledge representations for zero-shot retrieval.
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- Auto-Encoding Twin-Bottleneck Hashing133
This paper proposes an efficient and adaptive code-driven graph, which is updated by decoding in the context of an auto-encoder, and introduces into the framework twin bottlenecks that exchange crucial information collaboratively.
- Deep Asymmetric Pairwise Hashing124
This work proposes a novel Deep Asymmetric Pairwise Hashing approach (DAPH) for supervised hashing, and devise an efficient alternating algorithm to optimize the asymmetric deep hash functions and high-quality binary code jointly.
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- Multiview Discrete Hashing for Scalable Multimedia Search100
This article proposes a novel unsupervised hashing method, dubbed multiview discrete hashing (MvDH), which performs matrix factorization to generate the hash codes as the latent representations shared by multiple views, during which spectral clustering is performed simultaneously.
- Performance evaluation of deep feature learning for RGB-D image/video classification94
This paper conducts extensive experiments on five popular RGB-D datasets and presents a detailed analysis about the comparison between the learned feature representations from the four deep learning models.
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- The applicability of the perturbation based privacy preserving data mining for real-world data92
An individually adaptable perturbation model is proposed, which enables the individuals to choose their own privacy levels and a simple but effective and yet efficient technique to build data mining models from perturbed data is suggested.
- Parental harsh discipline and adolescent problem behavior in China: Perceived normativeness as a moderator83
The findings revealed that parental harsh discipline was associated with high levels of adolescent externalizing and internalizing behaviors, and teenagers' perceived normativeness of psychological aggression buffered the association between parental psychological aggression and adolescents' internalizing problem behaviors.
- Intergenerational transmission of harsh discipline: The moderating role of parenting stress and parent gender76
Findings revealed that both mothers' and fathers' harsh discipline were transmitted across generations and the strength of transmission varied by the severity of harsh discipline and the parent gender.
- Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system75
A hierarchical prediction model that predicts the number of rents/returns to each cluster in a future period to achieve redistribution is proposed and validated on the bike-sharing system of New York City and Washington D.C.
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 2026-10-15. 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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