9 citations · 12 across the 5 of their papers we have counts for
5 papers
: Learnable Sparse Signal Superdensity for Guided Depth Estimation
Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu +5
Dense depth estimation plays a key role in multiple applications such as robotics, 3D reconstruction, and augmented reality. While sparse signal, e.g., LiDAR and Radar, has been le…
Dual-Awareness Attention for Few-Shot Object Detection
Tung-I Chen, Yueh-Cheng Liu, Hung-Ting Su +5
While recent progress has significantly boosted few-shot classification (FSC) performance, few-shot object detection (FSOD) remains challenging for modern learning systems. Existin…
End-to-End Video Question-Answer Generation with Generator-Pretester Network
Hung-Ting Su, Chen-Hsi Chang, Po-Wei Shen +5
We study a novel task, Video Question-Answer Generation (VQAG), for challenging Video Question Answering (Video QA) task in multimedia. Due to expensive data annotation costs, many…
Situation and Behavior Understanding by Trope Detection on Films
Chen-Hsi Chang, Hung-Ting Su, Jui-heng Hsu +7
The human ability of deep cognitive skills are crucial for the development of various real-world applications that process diverse and abundant user generated input. While recent p…
Efficient and Phase-aware Video Super-resolution for Cardiac MRI
Jhih-Yuan Lin, Yu-Cheng Chang, Winston H. Hsu
Cardiac Magnetic Resonance Imaging (CMR) is widely used since it can illustrate the structure and function of heart in a non-invasive and painless way. However, it is time-consumin…