Hung-Shuo Tai — accepted AI-conference papers

2024

Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining

Hongyang Chen, Hung-Shuo Tai, Kaisheng Ma

AAAI 2024technical

Consumer-grade cameras capture the RAW physical description of a scene and then process the image signals to obtain high-quality RGB images that are faithful to human visual perception. Conventionally, dense prediction scenes require high-precision recognition of objects in RGB images. However, pred…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2023

PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection

Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma

CVPR 2023poster

The remarkable breakthroughs in point cloud representation learning have boosted their usage in real-world applications such as self-driving cars and virtual reality. However, these applications usually have an urgent requirement for not only accurate but also efficient 3D object detection. Recently…

Cited by 60 Source ↗PDF ↗code ↗Scholar ↗