Red-green-blue–thermal (RGB–T) multimodal object detection has become an effective paradigm for robust remote sensing perception by exploiting the complementary characteristics of visible (VI) and thermal imagery. However, existing convolutional neural network (CNN)- and Transformer-based RGB–T detectors still suffer f...
Cheng-Rui Yu, Guang-Xin Li, Bao-Lin Lv et al.· IEEE Transactions on Geoscie...· 0 citations
Interactive scene exploration requires frequent view updates, although small camera motions preserve much of the visible content. Conventional 3D Gaussian Splatting nevertheless renders each target view, leaving this image overlap unexploited. Reusing rendered images offers an alternative. Geometric warping alone canno...
Qi Huo, Xuan Sun, Yong-Fei Guo et al.· 0 citations
PP-Net, a hybrid physical-prior neural network for biomedical scattered light removal, is proposed and demonstrated that it provides an effective and deployable solution for microscopic imaging, endoscopic inspection, and edge-assisted biomedical analysis in IoMT scenarios.
Yong-Fei Guo, Ting-Jin Chu, Meng-Zhuo Liu et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.