1 citations · 3 across the 11 of their papers we have counts for
13 papers · 1 filter
Data-free Multistep Diffusion Distillation
Ngoc Duy Tran, Kien Do, Duc Thanh Nguyen +1
One-step diffusion distillation achieves strong performance on small datasets but remains insufficient for high-resolution or complex text-to-image settings. Extending to multistep…
ASV3D: Adapting Diffusion-Based Single-View 3D Reconstruction with Extra Imagery
Y Huynh, Duc Thanh Nguyen, Thao Minh Le +1
Reconstruction of 3D objects from a single image is a fundamental research topic in computer vision. The key challenge is the lack of information from critical viewpoints to comple…
OPERA: Object Perception Enhances Single-view 3D Reconstruction
Y Huynh, Duc Thanh Nguyen, Mohamed Abdelrazek
Single-view 3D reconstruction is a challenging task in computer vision due to information missing from the single input image. Generative model-based approaches can produce plausib…
FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation
Minh Khoa Le, Kien Do, Duc Thanh Nguyen +1
High-fidelity video generation remains challenging for diffusion models due to the difficulty of modeling complex spatio-temporal dynamics efficiently. Recent video diffusion metho…
MSC: A Marine Wildlife Video Dataset with Grounded Segmentation and Clip-Level Captioning
Quang-Trung Truong, Yuk-Kwan Wong, Vo Hoang Kim Tuyen Dang +3
Marine videos present significant challenges for video understanding due to the dynamics of marine objects and the surrounding environment, camera motion, and the complexity of und…
Adaptive Cache Enhancement for Test-Time Adaptation of Vision-Language Models
Khanh-Binh Nguyen, Phuoc-Nguyen Bui, Hyunseung Choo +1
Vision-language models (VLMs) exhibit remarkable zero-shot generalization but suffer performance degradation under distribution shifts in downstream tasks, particularly in the abse…
A model-agnostic active learning approach for animal detection from camera traps
Thi Thu Thuy Nguyen, Duc Thanh Nguyen
Smart data selection is becoming increasingly important in data-driven machine learning. Active learning offers a promising solution by allowing machine learning models to be effec…
Color Alignment in Diffusion
Ka Chun Shum, Binh-Son Hua, Duc Thanh Nguyen +1
Diffusion models have shown great promise in synthesizing visually appealing images. However, it remains challenging to condition the synthesis at a fine-grained level, for instanc…
DiDA: Video Object Segmentation with Distillation Learning of Deformable Attention
Quang-Trung Truong, Duc Thanh Nguyen, Binh-Son Hua +1
Video object segmentation is a fundamental research problem in computer vision. Recent techniques have often applied attention mechanism to object representation learning from vide…
Catch Me If You Can Describe Me: Open-Vocabulary Camouflaged Instance Segmentation with Diffusion
Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo +4
Text-to-image diffusion techniques have shown exceptional capabilities in producing high-quality, dense visual predictions from open-vocabulary text. This indicates a strong correl…
An empirical study of automatic wildlife detection using drone thermal imaging and object detection
Miao Chang, Tan Vuong, Manas Palaparthi +4
Artificial intelligence has the potential to make valuable contributions to wildlife management through cost-effective methods for the collection and interpretation of wildlife dat…
Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
Ka Chun Shum, Jaeyeon Kim, Binh-Son Hua +2
Neural radiance field is an emerging rendering method that generates high-quality multi-view consistent images from a neural scene representation and volume rendering. Although neu…
Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration
Ka Chun Shum, Hong-Wing Pang, Binh-Son Hua +2
In this paper, we address the problem of conditional scene decoration for 360-degree images. Our method takes a 360-degree background photograph of an indoor scene and generates de…