5 papers · 1 filter
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…
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…