7 papers
Action-Aligned Retrieval with Pairwise Multimodal Reranking for Text-Based Person Anomaly Search
Thanh-Khoi Nguyen, Thanh-Nhan Vo, Trong-Thuan Nguyen +1
Text-based person anomaly search requires distinguishing individuals based on fine-grained, context-dependent behaviors rather than mere appearance. Existing methods struggle to ca…
TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding
Thanh-Nhan Vo, Thanh-Khoi Nguyen, Trong-Thuan Nguyen +2
Automated understanding of complex soccer scenarios from video remains a significant challenge for contemporary vision-language models (VLMs), which suffer from shallow cross-modal…
SAGA: Stable Acceleration Guidance for Autoregressive Video Generation
Thanh-Nhan Vo, Trong-Thuan Nguyen, Trung-Hoang Le +2
Autoregressive video diffusion enables efficient streaming and long-horizon video generation, but repeatedly reusing generated latents as causal context can amplify temporal errors…
SimGraph: A Unified Framework for Scene Graph-Based Image Generation and Editing
Thanh-Nhan Vo, Trong-Thuan Nguyen, Tam V. Nguyen +1
Recent advancements in Generative Artificial Intelligence (GenAI) have significantly enhanced the capabilities of both image generation and editing. However, current approaches oft…
VENUS: Visual Editing with Noise Inversion Using Scene Graphs
Thanh-Nhan Vo, Trong-Thuan Nguyen, Tam V. Nguyen +1
State-of-the-art text-based image editing models often struggle to balance background preservation with semantic consistency, frequently resulting either in the synthesis of entire…
SATURN: Autoregressive Image Generation Guided by Scene Graphs
Thanh-Nhan Vo, Trong-Thuan Nguyen, Tam V. Nguyen +1
State-of-the-art text-to-image models excel at photorealistic rendering but often struggle to capture the layout and object relationships implied by complex prompts. Scene graphs p…
THYME: Temporal Hierarchical-Cyclic Interactivity Modeling for Video Scene Graphs in Aerial Footage
Trong-Thuan Nguyen, Pha Nguyen, Jackson Cothren +3
The rapid proliferation of video in applications such as autonomous driving, surveillance, and sports analytics necessitates robust methods for dynamic scene understanding. Despite…