2 citations · 6 across the 19 of their papers we have counts for
14 papers · 1 filter
LAS-CLIP: A Lightweight Adapter Steering Approach for CLIP's Visual Encoder
Anh-Khoa Dinh-Duc, Duc-Tai Dinh, Tam V. Nguyen +1
CLIP's visual encoder produces only global image representations, limiting its use in region-level tasks. Existing adaptations rely on visual prompting, input masking, or encoder f…
PhysPlan: Grounded Physical State Reasoning and Graph-Guided Optimization for Physically Plausible Video Generation
Minh-Loi Nguyen, Xuan-Vu Le, Thanh-Toan Do +3
Video diffusion models (VDMs) synthesize photorealistic content, yet they often fail to follow the course that a physical phenomenon should take within a given scene. Recent traini…
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…
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…
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…
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…
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…
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…
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…
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…