Ming Qian

I am a third year PhD student in Wuhan University, co-supervised by Prof. Gui-Song Xia and Nan Xue.

Email / Google Scholar / Github

News

2024-04 Two papers are accepted by CVPR 2024.

2023-07 Sat2Density is accepted by ICCV 2023.

2020-08 BGGAN is accepted by ECCVW 2020.

2020-07 We win Winner Award at the ECCV AIM 2020 Challenge on Rendering Realistic Bokeh with Congyu and Jiamin.

Research

I'm interested in 3D vision and image processing. Much of my research is about inferring the physical world and camera (shape, motion, color, light, bokeh, etc) from images.

	Multi-View Attentive Contextualization for Multi-View 3D Object Detection Xianpeng Liu, Ce Zheng, Ming Qian, Nan Xue, Chen Chen, Zhebin Zhang, Chen Li, Tianfu Wu CVPR, 2024 arXiv
	Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs Ming Qian, Jincheng Xiong, Gui-Song Xia, Nan Xue, ICCV, 2023 project page / code / arXiv Sat2Density focuses on the geometric nature of generating high-quality ground street videos conditioned on satellite images learning from collections of satellite-ground image pairs.
	Depth and DOF Cues Make Better Defocus Blur Detection Yuxin Jin, Ming Qian, Jincheng Xiong, Nan Xue, Gui-Song Xia ICME, 2023 arXiv / Code / Paper D-DFFNet considers the physical mechanism of defocus blur and successfully distinguishes homogeneous regions. In addition, we propose a larger benchmark EBD that includes more DOF cases. The results of detection on multiple public test sets look great.
	BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng ECCVW, 2020 arXiv / Code BGGAN lets us synthesis bokeh effect images from bokeh-less images end to end. Rank 1st in eccv AIM 2020 challenge .

Design and source code from Jon Barron's website