activity
20182022
most citedCompact Trilinear Interaction for Visual Question Answering

14 citations · 42 across the 10 of their papers we have counts for

collaborators

13 papers

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…

eess.IV2021

Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge

Minh Q. Tran, Tuong Do, Huy Tran +3

Deformable registration is a crucial step in many medical procedures such as image-guided surgery and radiation therapy. Most recent learning-based methods focus on improving the a…

cs.CV2021

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

Huy Q. Vo, Tuong Do, Vi C. Pham +3

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-graine…

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…