activity
20232026
most citedCluster-based Video Summarization with Temporal Context Awareness

4 citations · 12 across the 41 of their papers we have counts for

collaborators

57 papers

cs.CV2026

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…

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

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…

cs.HC2026

Budget-Aware Keyboardless Interaction

Quang-Thang Nguyen, Gia-Phuc Song-Dong, Minh-Triet Tran +1

Interacting with computers typically relies on traditional input devices such as keyboards, mice, and monitors, which can be cumbersome for users seeking greater mobility. Virtual…

cs.HC2026

DanceDuo: Bridging Human Movement and AI Choreography

Gia-Cat Bui-Le, Tuong-Vy Truong-Thuy, Hai-Dang Nguyen +1

In recent years, advancements in deep learning and generative models have revolutionized music-driven dance generation. This paper introduces a novel platform, namely DanceDuo, lev…

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

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…

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.GR2026

Edit3DGS: Unified Framework for Dynamic Head Editing via 2D Instruction-Guided Diffusion and 3D Gaussian Splatting

Duy-Dat Tran, Trung-Nghia Le

We present Edit3DGS, a unified framework for dynamic 3D head editing that integrates 2D instruction-guided diffusion with 3D Gaussian splatting. Unlike prior approaches that separa…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.HC2026

GraphStory: Collaborative Story Writing through Event-Based Narrative Editing

Xuan-Vu Le, Minh-Loi Nguyen, Khanh-Duy Le +2

Story writing is a popular yet complex creative activity that requires organization of ideas and iterative exploration, particularly during early-stage ideation. While many AI-base…

cs.CV2026

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…

cs.CV2026

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…