3 papers
eess.IV2022
Weakly Supervised Nuclei Segmentation via Instance Learning
Weizhen Liu, Qian He, Xuming He
Weakly supervised nuclei segmentation is a critical problem for pathological image analysis and greatly benefits the community due to the significant reduction of labeling cost. Ad…
cs.CV2021
Single Image 3D Object Estimation with Primitive Graph Networks
Qian He, Desen Zhou, Bo Wan +1
Reconstructing 3D object from a single image (RGB or depth) is a fundamental problem in visual scene understanding and yet remains challenging due to its ill-posed nature and compl…
cs.CV2019
An Empirical Study of Propagation-based Methods for Video Object Segmentation
Hengkai Guo, Wenji Wang, Guanjun Guo +4
While propagation-based approaches have achieved state-of-the-art performance for video object segmentation, the literature lacks a fair comparison of different methods using the s…