Výsledky vyhledávání

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SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems

Autor: Islam, H M Mohaimanul, Vo, Huynh Q. N., Ramanan, Paritosh

Stochastic optimization problems in large-scale multi-stakeholder networked systems (e.g., power grids and supply chains) rely on data-driven scenarios to encapsulate complex spatiotemporal interdependencies. However, centralized aggregation of stake

Externí odkaz: http://arxiv.org/abs/2409.12328

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Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese

Autor: Doan, Khang T., Huynh, Bao G., Hoang, Dung T., Pham, Thuc D., Pham, Nhat H., Nguyen, Quan T. M., Vo, Bang Q., Hoang, Suong N.

In this report, we introduce Vintern-1B, a reliable 1-billion-parameters multimodal large language model (MLLM) for Vietnamese language tasks. By integrating the Qwen2-0.5B-Instruct language model with the InternViT-300M-448px visual model, Vintern-1

Externí odkaz: http://arxiv.org/abs/2408.12480

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Causal Strategic Learning with Competitive Selection

Autor: Vo, Kiet Q. H., Aadil, Muneeb, Chau, Siu Lun, Muandet, Krikamol

We study the problem of agent selection in causal strategic learning under multiple decision makers and address two key challenges that come with it. Firstly, while much of prior work focuses on studying a fixed pool of agents that remains static reg

Externí odkaz: http://arxiv.org/abs/2308.16262

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Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked Autoencoder

Autor: Ly, Son T., Lin, Bai, Vo, Hung Q., Maric, Dragan, Roysam, Badri, Nguyen, Hien V.

Reliable large-scale cell detection and segmentation is the fundamental first step to understanding biological processes in the brain. The ability to phenotype cells at scale can accelerate preclinical drug evaluation and system-level brain histology

Externí odkaz: http://arxiv.org/abs/2205.05194

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Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene

Autor: Vo, Huy Q., Do, Tuong, Pham, Vi C., Nguyen, Duy, Duong, An T., Tran, Quang D.

This paper contributes a new high-quality dataset for hand gesture recognition in hand hygiene systems, named "MFH". Generally, current datasets are not focused on: (i) fine-grained actions; and (ii) data mismatch between different viewpoints, which

Externí odkaz: http://arxiv.org/abs/2109.02917

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Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks

Autor: Vo, Hung Q., Yuan, Pengyu, He, Tiancheng, Wong, Stephen T. C., Nguyen, Hien V.

Accurate breast lesion risk estimation can significantly reduce unnecessary biopsies and help doctors decide optimal treatment plans. Most existing computer-aided systems rely solely on mammogram features to classify breast lesions. While this approa

Externí odkaz: http://arxiv.org/abs/2108.09591

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