10 papers
MixiMotion: One-Step Text-to-Motion Generation via Asymmetric Set Distillation
Hung Dinh, Binh Mai, Tran Quoc Bao Le +2
Iterative text-to-motion generation delivers high-quality and semantically aligned motions but requires multiple network evaluations, resulting in substantial inference latency. We…
SpatialQuery: Benchmarking Geometry-Grounded Multi-Instance Spatial Reasoning in Vision-Language Models
Hai Nguyen, Tung Vu, Cong Tran
Vision-language models (VLMs) achieve strong semantic understanding but remain unreliable in metric spatial reasoning, particularly when queries require comparing multiple instance…
SwiftAudio: Data-Efficient Caption-Only Distillation for One-Step Text-to-Audio Diffusion-based Generation
Binh Mai, Tran Quoc Bao Le, Hung Dinh +1
Diffusion-based text-to-audio (TTA) models achieve impressive synthesis quality but suffer from high inference latency due to iterative multi-step denoising. Existing one-step appr…
Toward Fine-Grained Speech Inpainting Forensics:A Dataset, Method, and Metric for Multi-Region Tampering Localization
Tung Vu, Yen Nguyen, Hai Nguyen +2
Recent advances in voice cloning and text-to-speech synthesis have made partial speech manipulation - where an adversary replaces a few words within an utterance to alter its meani…
A4O: All Trigger for One sample
Duc Anh Vu, Anh Tuan Tran, Cong Tran +1
Backdoor attacks have become a critical threat to deep neural networks (DNNs), drawing many research interests. However, most of the studied attacks employ a single type of trigger…
REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization
Huyen Nguyen, Hieu Dam, Nguyen Do +2
In social online platforms, identifying influential seed users to maximize influence spread is a crucial as it can greatly diminish the cost and efforts required for information di…
Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques
Bao Q. Bui, Tien T. T. Nguyen, Duy M. Le +2
This paper presents a comprehensive study on the classification and detection of Silicosis-related lung inflammation. Our main contributions include 1) the creation of a newly cura…
Enhancing Fine-grained Image Classification through Attentive Batch Training
Duy M. Le, Bao Q. Bui, Anh Tran +2
Fine-grained image classification, which is a challenging task in computer vision, requires precise differentiation among visually similar object categories. In this paper, we prop…
UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance
Son Tran, Cong Tran, Anh Tran +1
Object detection has long been a topic of high interest in computer vision literature. Motivated by the fact that annotating data for the multi-object tracking (MOT) problem is imm…
Federated Few-shot Learning for Cough Classification with Edge Devices
Ngan Dao Hoang, Dat Tran-Anh, Manh Luong +2
Automatically classifying cough sounds is one of the most critical tasks for the diagnosis and treatment of respiratory diseases. However, collecting a huge amount of labeled cough…