4 citations · 12 across the 41 of their papers we have counts for
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Learning to Generate Multiple Objects from Dense and Occluded Layouts
Bach-Hoang Ngo, Si-Tri Ngo, Hieu Le +1
Text-to-image diffusion models fail to generate correct object counts in dense scenes, where overlapping instances collapse into indistinguishable structures despite appearing visu…
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…
AI-Generated Image Recognition via Fusion of CNNs and Vision Transformers
Xuan-Bach Mai, Hoang-Minh Nguyen-Huu, Quoc-Nghia Nguyen +3
Recent advancements in synthetic data technology have opened a new era where images of remarkable quality are generated, blurring the lines between real-life images and those produ…
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…
Minimalist Preprocessing Approach for Image Synthesis Detection
Hoai-Danh Vo, Trung-Nghia Le
Generative models have significantly advanced image generation, resulting in synthesized images that are increasingly indistinguishable from authentic ones. However, the creation o…
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…
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…
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…
MythraGen: Two-Stage Retrieval Augmented Art Generation Framework
Quang-Khai Le, Cong-Long Nguyen, Minh-Triet Tran +1
Text-to-image generation has seen rapid advancements, especially with the development of generative models. However, challenges remain in achieving high-quality, contextually accur…
Evaluation of Image Matching for Art Skills Assessment
Asaad Alghamdi, Michael Poor, Trung-Nghia Le +1
While some individuals possess a natural talent for drawing, mastering this skill requires dedicated training and practice. Determining one's skill in the art of drawing requires p…
Exploring Multi-Modal Large Language Models and Two-Stage Fine-Tuning for Fashion Image Retrieval
Nguyen Cao Hoang, Hoang Bui Le, Nam Vo Hoang +1
Composed image retrieval retrieves a target image using a composed query of a reference image and a modified text description. In the fashion domain, this task requires understandi…
Vortex: Multi-Modal Fusion System for Intelligent Video Retrieval
Duc-Tho Nguyen, Hieu-Hoc Tran-Minh, Khanh-Hoa Lam +4
This paper presents Vortex, the multimodal video retrieval system developed by our team, FocusOnFun, for the Ho Chi Minh City AI Challenge 2025, designed to advance intelligent mul…
Rethinking Text-to-Image as Semantic-Aware Data Augmentation for Indoor Scene Recognition
Trong-Vu Hoang, Quang-Binh Nguyen, Dinh-Khoi Vo +3
In the realm of computer vision, indoor image recognition presents challenges due to the intricate interplay of lighting conditions, occlusions, and diverse object arrangements wit…
Forged Calamity: Benchmark for Cross-Domain Synthetic Disaster Detection in the Age of Diffusion
Duc-Manh Phan, Quoc-Duy Tran, Duy-Khang Do +9
The rapid advancement of text-to-image diffusion models has enabled the creation of highly photorealistic synthetic images that closely resemble real photographs, making it increas…
Hierarchical Multi-Modal Retrieval for Knowledge-Grounded News Image Captioning
Minh-Loi Nguyen, Xuan-Vu Le, Long-Bao Nguyen +2
Traditional image captioning methods often struggle to generate comprehensive, context-rich descriptions, especially for details not directly observable from visual cues. To overco…
Visual Retrieval-Augmented Generation for Silhouette-Guided Animal Art
Quoc-Duy Tran, Anh-Tuan Vo, Trung-Nghia Le
Generative AI has advanced the ability to render photorealistic or artistic images, yet it remains limited in a key aspect of human creativity: interpreting ambiguous shapes. This…
CIAN: Multi-Stage Framework for Event-Enriched Image Captioning via Retrieval-Augmented Generation
Trinh Thi Thu Hien, Trung-Nghia Le
Event-enriched image captioning describes not only visible content but also the broader context of events, including timing, location, and participants, capabilities missing in mos…
SceneCraft: Interactive System for Image Editing via Scene Graph
Duc-Manh Phan, Ngoc-Dai Tran, Duy-Khang Do +3
Recent advances in generative AI have enabled natural language-driven image editing, yet existing systems often fail in complex scenes with multiple interacting objects because the…
Toward 360-Degree Indoor Panorama Editing via Tuning-Free Diffusion Model with Refocusing Cross-Attention
Dinh-Khoi Vo, Nhut-Thanh Le-Hinh, Viet-Tham Huynh +3
Zero-shot text-guided diffusion has significantly advanced image editing; however, its practical usability remains constrained by three persistent challenges: prompt brittleness th…
GarmentSketch: Large-scale Sketch-to-Fashion Benchmark
Duong-Duy-Khang Bui, Minh-Tan Pham, Tam V. Nguyen +2
Fashion sketching is a cornerstone of design workflows, allowing rapid visualization of creative concepts prior to physical prototyping. Yet, progress in sketch-based fashion image…
VietFashion: Benchmarking Sketch-Text Composed Image Retrieval for Cultural Outfits
Hoang-Nguyen Cao, Le-Hoang Bui, Dinh-Khoi Vo +2
Cultural garments pose a unique challenge for visual retrieval systems, as their identity often depends on subtle structural and symbolic details that are poorly captured by standa…
CogCanvas: A Benchmark for Evaluating Multi-Subject Reference-Based Image Generation
Long-Bao Nguyen, Quang-Khai Le, Tam V. Nguyen +2
Multi-subject reference-based image generation requires jointly preserving multiple human identities, binding per-person objects and fashion items, and respecting a specified backg…
Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling
Minh-Tuan Tran, Xuan-May Le, Quan Hung Tran +3
Existing generative models, such as diffusion and auto-regressive networks, are inherently static, relying on a fixed set of pretrained parameters to handle all inputs. In contrast…
PANDORA: Pixel-wise Attention Dissolution and Latent Guidance for Zero-Shot Object Removal
Dinh-Khoi Vo, Van-Loc Nguyen, Tam V. Nguyen +2
Removing objects from natural images is challenging due to difficulty of synthesizing semantically coherent content while preserving background integrity. Existing methods often re…