86 Result(s)
within
Qinghua Hu
Computer Science
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Article
Integrated Heterogeneous Graph Attention Network for Incomplete Multi-modal Clustering
Incomplete multi-modal clustering (IMmC) is challenging due to the unexpected missing of some modalities in data. A key to this problem is to explore complementarity information among different samples with in...
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Chapter and Conference Paper
Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction
Visual question answer (VQA) grounding, aimed at locating the visual evidence associated with the answers while answering questions, has attracted increasing research interest. To locate the evidence, most exi...
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Article
AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis
Multimodal medical images have been widely applied in various clinical diagnoses and treatments. Due to the practical restrictions, certain modalities may be hard to acquire, resulting in incomplete data. Exis...
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Article
Dual-branch network with memory for video anomaly detection
Anomaly event detection is a video surveillance technology automatically analyzing video sequences without manual intervention by employing machine learning and computer vision technology. In the existing appr...
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Chapter and Conference Paper
Correction to: Lightweight Model Inference on Resource-Constrained Computing Nodes in Intelligent Surveillance Systems
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Chapter and Conference Paper
MRSCN: A GNN-based Model for Mining Relationship Strength Changes Between Nodes in Dynamic Networks
The relationship strength between individuals in the network is an essential task in network analysis. However, existing measures of relationship strength are mostly artificially predefined, which can only ref...
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Chapter and Conference Paper
Lightweight Model Inference on Resource-Constrained Computing Nodes in Intelligent Surveillance Systems
Intelligent Surveillance System (ISS) is an important application combining deep learning with IoT technologies. Meanwhile, multiple targets multiple camera tracking (MTMCT) has been widely recognized as a pro...
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Article
Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation
Semantic segmentation with limited annotations, such as weakly supervised semantic segmentation (WSSS) and semi-supervised semantic segmentation (SSSS), is a challenging task that has attracted much attention ...
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Chapter and Conference Paper
Self-Supervised Vision Transformer Based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation
Domain adaptation alleviates the performance drop when models are deployed in a target domain. Models assuming a close-set world fail in realistic open-set scenarios where novel classes not present in the sour...
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Chapter and Conference Paper
MGFL: Multi-granularity Federated Learning in Edge Computing Systems
As a promising machine learning framework in the big data era, federated learning (FL) allows multiple mobile devices to collaboratively train a model without transmitting raw data, thus has attracted widespre...
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Chapter and Conference Paper
A Multilevel Inference Mechanism for User Attributes over Social Networks
In a real social network, each user has attributes for self-description called user attributes which are semantically hierarchical. With these attributes, we can implement personalized services such as user cl...
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Article
Tensorized Multi-view Subspace Representation Learning
Self-representation based subspace learning has shown its effectiveness in many applications. In this paper, we promote the traditional subspace representation learning by simultaneously taking advantages of m...
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Article
Optimized high order product quantization for approximate nearest neighbors search
Product quantization is now considered as an effective approach to solve the approximate nearest neighbor (ANN) search. A collection of derivative algorithms have been developed. However, the current technique...
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Chapter and Conference Paper
SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning
Although significant progress achieved, multi-label classification is still challenging due to the complexity of correlations among different labels. Furthermore, modeling the relationships between input and s...
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Chapter and Conference Paper
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algori...
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Chapter and Conference Paper
An Index Method for the Shortest Path Query on Vertex Subset for the Large Graphs
Shortest path query is an important problem in graphs and has been well-studied. In this paper, we study a special kind of shortest path query on a vertex subset. Most of the existing works propose various ind...
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Chapter and Conference Paper
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results
The Vision Meets Drone (VisDrone2020) Multiple Object Tracking (MOT) is the third annual UAV MOT tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer...
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Chapter and Conference Paper
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results
The Vision Meets Drone Object Detection in Image Challenge (VisDrone-DET 2020) is the third annual object detector benchmarking activity. Compared with the previous VisDrone-DET 2018 and VisDrone-DET 2019 chal...
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Chapter and Conference Paper
VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results
The Vision Meets Drone (VisDrone2020) Single Object Tracking is the third annual UAV tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer Vision (ECC...
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Chapter and Conference Paper
Link Prediction with Attention-Based Semantic Influence of Multiple Neighbors
The establishment of social links is not only determined by personal interests but also by neighbors’ influences, which may vary across different neighbors. However, the independent influence of each neighbor ...
