14 citations · 38 across the 22 of their papers we have counts for
16 papers · 1 filter
Efficient Human-Contact Representation for Human-Scene Interaction
Nghia Vu, Tuong Do, Binh X. Nguyen +2
Human-scene interaction is an active research topic with several industrial applications in virtual reality, gaming, robotics, and surveillance. Despite significant progress in net…
AffordMatcher: Affordance Learning in 3D Scenes from Visual Signifiers
Nghia Vu, Tuong Do, Khang Nguyen +8
Affordance learning is a complex challenge in many applications, where existing approaches primarily focus on the geometric structures, visual knowledge, and affordance labels of o…
Lightweight Temporal Transformer Decomposition for Federated Autonomous Driving
Tuong Do, Binh X. Nguyen, Quang D. Tran +3
Traditional vision-based autonomous driving systems often face difficulties in navigating complex environments when relying solely on single-image inputs. To overcome this limitati…
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…
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…
Scalable Group Choreography via Variational Phase Manifold Learning
Nhat Le, Khoa Do, Xuan Bui +4
Generating group dance motion from the music is a challenging task with several industrial applications. Although several methods have been proposed to tackle this problem, most of…
Controllable Group Choreography using Contrastive Diffusion
Nhat Le, Tuong Do, Khoa Do +4
Music-driven group choreography poses a considerable challenge but holds significant potential for a wide range of industrial applications. The ability to generate synchronized and…
Style Transfer for 2D Talking Head Animation
Trong-Thang Pham, Nhat Le, Tuong Do +4
Audio-driven talking head animation is a challenging research topic with many real-world applications. Recent works have focused on creating photo-realistic 2D animation, while lea…
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…
Coarse-to-Fine Reasoning for Visual Question Answering
Binh X. Nguyen, Tuong Do, Huy Tran +3
Bridging the semantic gap between image and question is an important step to improve the accuracy of the Visual Question Answering (VQA) task. However, most of the existing VQA met…
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…
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…
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…
Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering
Tuong Do, Binh X. Nguyen, Huy Tran +3
Different approaches have been proposed to Visual Question Answering (VQA). However, few works are aware of the behaviors of varying joint modality methods over question type prior…
Compact Trilinear Interaction for Visual Question Answering
Tuong Do, Thanh-Toan Do, Huy Tran +2
In Visual Question Answering (VQA), answers have a great correlation with question meaning and visual contents. Thus, to selectively utilize image, question and answer information,…
Overcoming Data Limitation in Medical Visual Question Answering
Binh D. Nguyen, Thanh-Toan Do, Binh X. Nguyen +3
Traditional approaches for Visual Question Answering (VQA) require large amount of labeled data for training. Unfortunately, such large scale data is usually not available for medi…