1 citations · 1 across the 4 of their papers we have counts for
5 papers
Bridging the Training-Deployment Gap: Gated Encoding and Multi-Scale Refinement for Efficient Quantization-Aware Image Enhancement
Dat To-Thanh, Nghia Nguyen-Trong, Hoang Vo +2
Image enhancement models for mobile devices often struggle to balance high output quality with the fast processing speeds required by mobile hardware. While recent deep learning mo…
STER-VLM: Spatio-Temporal With Enhanced Reference Vision-Language Models
Tinh-Anh Nguyen-Nhu, Triet Dao Hoang Minh, Dat To-Thanh +3
Vision-language models (VLMs) have emerged as powerful tools for enabling automated traffic analysis; however, current approaches often demand substantial computational resources a…
A Lightweight Moment Retrieval System with Global Re-Ranking and Robust Adaptive Bidirectional Temporal Search
Tinh-Anh Nguyen-Nhu, Huu-Loc Tran, Nguyen-Khang Le +8
The exponential growth of digital video content has posed critical challenges in moment-level video retrieval, where existing methodologies struggle to efficiently localize specifi…
Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection
Huu-Phong Phan-Nguyen, Anh Dao, Tien-Huy Nguyen +7
Nowadays, smartphones are ubiquitous, and almost everyone owns one. At the same time, the rapid development of AI has spurred extensive research on applying deep learning technique…
Towards Efficient and Robust Moment Retrieval System: A Unified Framework for Multi-Granularity Models and Temporal Reranking
Huu-Loc Tran, Tinh-Anh Nguyen-Nhu, Huu-Phong Phan-Nguyen +7
Long-form video understanding presents significant challenges for interactive retrieval systems, as conventional methods struggle to process extensive video content efficiently. Ex…