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20242026
most citedOpenEvents V1: Large-Scale Benchmark Dataset for Multimodal Event Grounding

2 citations · 6 across the 19 of their papers we have counts for

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cs.CV2026

Physics-Aware Video Generation via Agentic Planning and Graph-Guided Optimization

Minh-Loi Nguyen, Xuan-Vu Le, Thanh-Toan Do +3

Video diffusion models (VDMs) have demonstrated remarkable capabilities in synthesizing high-fidelity, photorealistic video content. However, they fundamentally lack an intrinsic u…

cs.CV2026

PhysMirror: Physics-Aware Mirror Object Generation

Xuan-Bach Mai, Duy-Phuc Nguyen, Quoc-Van Le +6

Synthesizing physically accurate mirror reflections remains a fundamental challenge for modern text-to-image diffusion models, which are increasingly critical for generating synthe…

cs.CV2026

KidRisk: Benchmark Dataset for Children Dangerous Action Recognition

Minh-Kha Nguyen, Trung-Hieu Do, Kim Anh Phung +3

Children are naturally energetic, and during their spontaneous activities, they often encounter potentially dangerous situations, especially when lacking parental supervision. Iden…

cs.CV2026

VisChronos: Revolutionizing Image Captioning Through Real-Life Events

Phuc-Tan Nguyen, Hieu Nguyen, Minh-Triet Tran +1

This paper aims to bridge the semantic gap between visual content and natural language understanding by leveraging historical events in the real world as a source of knowledge for…

cs.CV2026

EPEdit: Redefining Image Editing with Generative AI and User-Centric Design

Hoang-Phuc Nguyen, Dinh-Khoi Vo, Trong-Le Do +7

The demand for image manipulation has seen a significant increase recently. Traditional tools like Photoshop and Capture One, while powerful, require considerable expertise to use…

cs.CV2026

Hybrid Compression: Integrating Pruning and Quantization for Optimized Neural Networks

Minh-Loi Nguyen, Long-Bao Nguyen, Van-Hieu Huynh +2

Deep neural networks have witnessed remarkable advancements in recent years and have become integral to various applications. However, alongside these developments, training and de…