I graduated from College of Information Science and Engineering, Yanshan University (燕山大学信息科学与工程学院) with a bachelor’s degree and from the School of Computer Science, Beijing University Of Posts and Telecommunications (北京邮电大学计算机学院) with a master’s degree, advised by Anlong Ming (明安龙).

I am currently working as a Advisory Researcher in PCI&E Intelligent Ecosystem Lab at Lenovo Research, China. My current research interests include real-time face enhancement and real-time super-resolution. If you are seeking any form of academic cooperation, please feel free to email me at zhoumh3@lenovo.com.

📝 Publications

ICCV 2019

Occlusion-shared and Feature-separated Network for Occlusion Relationship Reasoning
Rui Lu, Feng Xue, Menghan Zhou, Anlong Ming, Yu Zhou
IEEE International Conference on Computer Vision (ICCV), 2019
Paper Code

We present a novel OFNet, which shares the occlusion cue from the decoder and separately acquires the contextual features for specific tasks.

ICME 2019

Context-constrained Accurate Contour Extraction for Occlusion Edge Detection
Rui Lu, Menghan Zhou, Anlong Ming, Yu Zhou
IEEE International Conference on Multimedia and Expo (ICME), 2019
Paper

We propose a novel method to utilize Spatial Feature Refinement (SFR) and Contour Sensitivity Augmentation (CSA) to acquire low-level and high-level information.

ICRA 2019

A Novel Multi-layers Framework for Tiny Obstacle Discovery
Feng Xue, Anlong Ming, Menghan Zhou, Yu Zhou
IEEE International Conference on Robotics and Automation (ICRA), 2019
Paper Code

We propose a multi-layer framework to produce a set of novel obstacle-aware occlusion edge maps.

ICIP 2018

Objectness-aware Tracking via Double Layer Model
Menghan Zhou, Jianxiang Ma, Anlong Ming, Yu Zhou
IEEE International Conference on Image Processing (ICIP), 2018
Paper

We propose a double-layer model combining “correlation filter tracker” with “object awareness layer to ensure that the tracked targets possess the desired object attributes.

ES 2017

Occlusion Edges Extracation for Depth Ordering Inference from Monocular Images
Aiwei Yu, Anlong Ming, Menghan Zhou, Xuejing Kang and Yu Zhou
IEEE International Conference on Enterprise Systems (ES), 2017
(Oral Presentation)

🎉 Competitions & Awards

2024.04 The 4th of the AIS2024 CVPR Challenge on Real-time Compressed Image Super-Resolution (Fidelity track). (25 teams in total)
2024.04 The 6th of the NTIRE2024 CVPR Challenge on Efficient Image Super-Resolution (Overall Performance track). (34 teams in total)
2024.04 The 6th of the NTIRE2024 CVPR Challenge on Efficient Image Super-Resolution (Runtime track). (34 teams in total)
2015.05 National Third Prize on MathorCup & CAA.
2014.09 National Second Prize on China Undergraduate Mathematical Contest in Modeling.

⭐ Honors

2022.04 FY21/22 PCIE Lab Annual Spotlight Award.
2020.06 FY20/21 Q1 PCIE Lab Individual Excellence Award.
2017.09 Outstanding Graduate Student of Beijing University of Posts and Telecommunications from 2016 to 2017. (<5%)
2016.06 Outstanding Graduates from Hebei Province.
2015.06 National Encouragement scholarship (Undergraduate).
2014.06 National Encouragement scholarship (Undergraduate).

📖 Educations

2016.09 - 2019.06, Master, School of Computer Science, Beijing University Of Posts and Telecommunications, Beijing.
2012.09 - 2016.06, Undergraduate, Yanshan University, Hebei.
2009.09 - 2012.06, Hebei Dingzhou Middle School.

💬 Invited Talks

2024.04, The video presentation about our method (ANUNet) for AIS2024 CVPR Challenge on Real-time Compressed Image Super-Resolution. | [video]

💻 Internships

2019.03 - 2019.06, Lenovo Research, Beijing, China.
2018.06 - 2018.10, Alibaba, YOUKU, Beijing, China.