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- Attentive Moment Retrieval in Videos351
An Attentive Cross-Modal Retrieval Network is developed that designs a memory attention mechanism to emphasize the visual features mentioned in the query and simultaneously incorporate their context, and obtains the augmented moment representation.
- Dynamic Modality Interaction Modeling for Image-Text Retrieval230
A novel modality interaction modeling network based upon the routing mechanism, which is the first unified and dynamic multimodal interaction framework towards image-text retrieval and demonstrates superiority compared with several state-of-the-art baselines.
- Context-Aware Multi-View Summarization Network for Image-Text Matching165
A novel context-aware multi-view summarization network to summarize context-enhanced visual region information from multiple views and designs an adaptive gating self-attention module to extract representations of visual regions and words.
- Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning113
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- NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results106
This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results, based on the SIDD benchmark.
- Crop Classification Based on Temporal Information Using Sentinel-1 SAR Time-Series Data105
A crop classification scheme, which made full use of multitemporal SAR backscattering responses, and achieved the best overall accuracies in both VH and VV bands is proposed.
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- The Diversified Ensemble Neural Network74
Results show the proposed principled ensemble technique by constructing the so-called diversified ensemble layer to combine multiple networks as individual modules can notably improve the accuracy and stability of the original neural networks with ignorable extra time and space overhead.
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- Bi-directional Heterogeneous Graph Hashing towards Efficient Outfit Recommendation54
This work devise a novel bi-directional heterogeneous graph hashing scheme, called BiHGH, towards efficient personalized outfit recommendation and adopt the bayesian personalized ranking loss for the user preference learning and design the dual similarity preserving regularization to prevent the information loss during hash learning.
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- Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval51
A novel Fine-grained Textual Inversion Network for ZS-CIR, named FTI4CIR, which comprises two main components: fine-grained pseudo-word token mapping and tri-wise caption-based semantic regularization.
- A Survey on Video Moment Localization51
This survey paper aims to present a comprehensive review of existing video moment localization techniques, including supervised, weakly supervised, and unsupervised ones, and to discuss promising future directions for this field, in particular large-scale datasets and interpretable video moments localization models.
- Efficient Mean‐shift Clustering Using Gaussian KD‐Tree50
An efficient method that allows mean shift clustering performed on large data set containing tens of millions of points at interactive rate is proposed, using a new scheme for approximating mean shift procedure using a greatly reduced feature space.
- Bendlet Transform Based Adaptive Denoising Method for Microsection Images48
An adaptive denoising method for microsection images with Rician noise is proposed, in which the curve contour and texture can be identified as low-frequency components, which is not the case with other methods, such as the wavelet, shearlet, and so on.
- STRONG: Spatio-Temporal Reinforcement Learning for Cross-Modal Video Moment Localization48
This article innovatively contributes a spatial-temporal reinforcement learning framework that first exploits a temporal-level reinforcement learning to dynamically adjust the boundary of localized video moment instead of the traditional window segmentation strategy, which is able to accelerate the localization process.
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- Multimodal Dialog System: Relational Graph-based Context-aware Question Understanding46
This paper presents a relational graph-based context-aware question understanding scheme, which enhances the user intention comprehension from local to global, and designs a sparse graph attention network to adaptively aggregate effective context information for each utterance.
- Semantic Collaborative Learning for Cross-Modal Moment Localization43
This work designs a dual-path representation network for intra-modal semantic modeling and develops a semantic collaborative network to achieve multi-granularity semantic alignment and hierarchical semantic supplement and proves that effective moment localization can be achieved based on sufficient semantic collaborative learning.
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- UniSA: Unified Generative Framework for Sentiment Analysis40
This work proposes a Task-Specific Prompt method to jointly model subtasks and introduces a multimodal generative framework called UniSA, and designs novel pre-training tasks and training methods to enable the model to learn generic sentiment knowledge among subtasks to improve the model's multi-modal sentiment perception ability.
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 2026-10-12. 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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