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20192025
most citedCompact Trilinear Interaction for Visual Question Answering

14 citations · 42 across the 11 of their papers we have counts for

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10 papers · 1 filter

cs.CV2025

FedEFM: Federated Endovascular Foundation Model with Unseen Data

Tuong Do, Nghia Vu, Tudor Jianu +7

In endovascular surgery, the precise identification of catheters and guidewires in X-ray images is essential for reducing intervention risks. However, accurately segmenting cathete…

cs.CV2024

CathAction: A Benchmark for Endovascular Intervention Understanding

Baoru Huang, Tuan Vo, Chayun Kongtongvattana +35

Real-time visual feedback from catheterization analysis is crucial for enhancing surgical safety and efficiency during endovascular interventions. However, existing datasets are of…

cs.CV20222 cited

Uncertainty-aware Label Distribution Learning for Facial Expression Recognition

Nhat Le, Khanh Nguyen, Quang Tran +3

Despite significant progress over the past few years, ambiguity is still a key challenge in Facial Expression Recognition (FER). It can lead to noisy and inconsistent annotation, w…

cs.CV202212 cited

Fine-Grained Visual Classification using Self Assessment Classifier

Tuong Do, Huy Tran, Erman Tjiputra +2

Extracting discriminative features plays a crucial role in the fine-grained visual classification task. Most of the existing methods focus on developing attention or augmentation m…

cs.CV20215 cited

Multiple Meta-model Quantifying for Medical Visual Question Answering

Tuong Do, Binh X. Nguyen, Erman Tjiputra +3

Transfer learning is an important step to extract meaningful features and overcome the data limitation in the medical Visual Question Answering (VQA) task. However, most of the exi…

cs.CV2021

Graph-based Person Signature for Person Re-Identifications

Binh X. Nguyen, Binh D. Nguyen, Tuong Do +3

The task of person re-identification (ReID) is to match images of the same person over multiple non-overlapping camera views. Due to the variations in visual factors, previous work…