no code implementations • 25 Sep 2014 • Yufei Gan, Teng Yang, Chu He
In this paper, we propose a new deep learning network "GENet", it combines the multi-layer network architec- ture and graph embedding framework.
no code implementations • 25 Sep 2014 • Yufei Gan, Tong Zhuo, Chu He
To simplify the parameter of the deep learning network, a cascaded compressive sensing model "CSNet" is implemented for image classification.
1 code implementation • 27 Dec 2018 • Xiaoqiao Chen, Qingyi Zhang, Manhui Lin, Guangyi Yang, Chu He
In the frequency domain, the two-dimensional entropy and the mutual information of the filtered sub-band images are computed as the feature set of the input color image.
no code implementations • 18 Sep 2023 • Mingyuan Lin, Chi Zhang, Chu He, Lei Yu
To tackle this problem, we propose a novel coarse-to-fine framework, named NETwork of Event-based motion Deblurring with STereo event and intensity cameras (St-EDNet), to recover high-quality images directly from the misaligned inputs, consisting of a single blurry image and the concurrent event streams.
1 code implementation • 29 Sep 2023 • Chi Zhang, Xiang Zhang, Mingyuan Lin, Cheng Li, Chu He, Wen Yang, Gui-Song Xia, Lei Yu
Even though the collaboration between traditional and neuromorphic event cameras brings prosperity to frame-event based vision applications, the performance is still confined by the resolution gap crossing two modalities in both spatial and temporal domains.