Search Results for author: Mingyang Qian

Found 3 papers, 1 papers with code

Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report

no code implementations • 7 Nov 2022 • Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Guangjing Yan, Brian Lee, Lei Fei, Huaijin Chen, Hyebin Cho, Byeongjun Kwon, Munchurl Kim, Mingyang Qian, Huixin Ma, Yanan Li, Xiaotao Wang, Lei Lei

In this Mobile AI challenge, the target was to develop an efficient end-to-end AI-based bokeh effect rendering approach that can run on modern smartphone GPUs using TensorFlow Lite.

Bokeh Effect Rendering Deep Learning

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Coherent Loss: A Generic Framework for Stable Video Segmentation

no code implementations • 25 Oct 2020 • Mingyang Qian, Yi Fu, Xiao Tan, YingYing Li, Jinqing Qi, Huchuan Lu, Shilei Wen, Errui Ding

Video segmentation approaches are of great importance for numerous vision tasks especially in video manipulation for entertainment.

Segmentation Semantic Segmentation +2

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Multi-source weak supervision for saliency detection

1 code implementation • CVPR 2019 • Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu

To this end, we propose a unified framework to train saliency detection models with diverse weak supervision sources.

Caption Generation Saliency Prediction

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