Quang-Vinh Dinh
Orcid: 0000-0002-8025-2501
According to our database1,
Quang-Vinh Dinh
authored at least 11 papers
between 2023 and 2025.
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Bibliography
2025
Hybrid, Unified and Iterative: A Novel Framework for Text-based Person Anomaly Retrieval.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Fetal-BCP: Addressing Empirical Distribution Gap in Semi-Supervised Fetal Ultrasound Segmentation.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells.
Proceedings of the 6th IEEE International Conference on Image Processing, 2025
Enhancing Auxilliary Cancer Classification Task for Multi-task Breast Ultrasound Diagnosis Network.
Proceedings of the 6th IEEE International Conference on Image Processing, 2025
Towards Efficient and Robust Moment Retrieval System: A Unified Framework for Multi-Granularity Models and Temporal Reranking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
A Lightweight Moment Retrieval System with Global Re-Ranking and Robust Adaptive Bidirectional Temporal Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
2024
Divide and Conquer Boosting for Enhanced Traffic Safety Description and Analysis with Large Vision Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
Multimodal Fusion in NewsImages 2023: Evaluating Translators, Keyphrase Extraction, and CLIP Pre-Training.
Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 2023
Comprehensive Visual Features and Pseudo Labeling for Robust Natural Language-based Vehicle Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023