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20082023
most citedHigh-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing

56 citations · 713 across the 66 of their papers we have counts for

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Showing cs.CVShow all

5 papers · 1 filter

cs.CV2023

Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural Representation

Hanqiu Chen, Hang Yang, Stephen Fitzmeyer +1

Implicit Neural Representation (INR) is an innovative approach for representing complex shapes or objects without explicitly defining their geometry or surface structure. Instead,…

cs.CV2018

Depth Image Upsampling based on Guided Filter with Low Gradient Minimization

Hang Yang, Zhongbo Zhang

In this paper, we present a novel upsampling framework to enhance the spatial resolution of the depth image. In our framework, the upscaling of a low-resolution depth image is guid…

cs.CV2018

A Robust Local Binary Similarity Pattern for Foreground Object Detection

Dongdong Zeng, Ming Zhu, Hang Yang

Accurate and fast extraction of the foreground object is one of the most significant issues to be solved due to its important meaning for object tracking and recognition in video s…

cs.CV2016★ 4 cited

Guided Filter based Edge-preserving Image Non-blind Deconvolution

Hang Yang, Ming Zhu, Zhongbo Zhang +1

In this work, we propose a new approach for efficient edge-preserving image deconvolution. Our algorithm is based on a novel type of explicit image filter - guided filter. The guid…

cs.CV2016★ 1 cited

An Adaptive Parameter Estimation for Guided Filter based Image Deconvolution

Hang Yang, Zhongbo Zhang, Yujing Guan

Image deconvolution is still to be a challenging ill-posed problem for recovering a clear image from a given blurry image, when the point spread function is known. Although competi…