1 code implementation • 21 Jun 2023 • Fengchuang Xing, Yuan-Gen Wang, Weixuan Tang, Guopu Zhu, Sam Kwong
Self-attention based Transformer has achieved great success in many computer vision tasks.
no code implementations • 16 Oct 2022 • Chao Zhou, Yuan-Gen Wang, Guopu Zhu
Specifically, we first generate an object region by intersecting the object detection region from YOLOv4 with the salient object detection (SOD) region from HVPNet.
no code implementations • 22 Aug 2021 • Fengchuang Xing, Yuan-Gen Wang, Hanpin Wang, Leida Li, Guopu Zhu
To capture the long-range spatiotemporal dependencies of a video sequence, StarVQA encodes the space-time position information of each patch to the input of the Transformer.
1 code implementation • 24 Nov 2019 • Fu-Zhao Ou, Yuan-Gen Wang, Jin Li, Guopu Zhu, Sam Kwong
First, to extend the authentically distorted image dataset, we present an imaging-heuristic approach, in which the over-underexposure is formulated as an inverse of Weber-Fechner law, and fusion strategy and probabilistic compression are adopted, to generate the degraded real-world images.