2 citations · 2 across the 5 of their papers we have counts for
8 papers
Unsupervised Domain Adaptation with SAM-RefiSeR for Enhanced Brain Tumor Segmentation
Dillan Imans, Phuoc-Nguyen Bui, Duc-Tai Le +1
Unsupervised Domain Adaptation with SAM-RefiSeR for Enhanced Brain Tumor Segmentation
Q-Learning-Based Time-Critical Data Aggregation Scheduling in IoT
Van-Vi Vo, Tien-Dung Nguyen, Duc-Tai Le +1
Time-critical data aggregation in Internet of Things (IoT) networks demands efficient, collision-free scheduling to minimize latency for applications like smart cities and industri…
Distributed Q-learning-based Shortest-Path Tree Construction in IoT Sensor Networks
Van-Vi Vo, Tien-Dung Nguyen, Duc-Tai Le +1
Efficient routing in IoT sensor networks is critical for minimizing energy consumption and latency. Traditional centralized algorithms, such as Dijkstra's, are computationally inte…
Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model
Phuoc-Nguyen Bui, Khanh-Binh Nguyen, Hyunseung Choo
Contrastive vision-language models excel in zero-shot image recognition but face challenges in few-shot scenarios due to computationally intensive offline fine-tuning using prompt…
Accelerating Conditional Prompt Learning via Masked Image Modeling for Vision-Language Models
Phuoc-Nguyen Bui, Khanh-Binh Nguyen, Hyunseung Choo
Vision-language models (VLMs) like CLIP excel in zero-shot learning but often require resource-intensive training to adapt to new tasks. Prompt learning techniques, such as CoOp an…
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…