I am a Ph.D. candidate under supervision of Prof. Lefei Zhang and Prof. Bo Du at School of Computer Science, Wuhan University. I was a research intern at Horizon Robotics worked with Dr. Qian Zhang and Dr. Guoli Wang. I was also a visiting student in LV-Lab at NUS, which is founded by Prof. Shuicheng Yan under supervision of Prof. Xinchao Wang.

My research interests include low-level vision for Natural Images (All-in-one Restoration), Raw Images (Neural ISP) and Remote Sensing Images (Hyperspectral).

📧 I am open to collaboration and welcome inquiries from anyone interested in my research. Please feel free to reach out via email.

🔥 News

• 2024.09:  🥂 We release a project regarding with All-in-one Image Restoration. We are awlays updating those recent awesome methods on this arising task. The comprehensive survey on All-in-one Image Restoration is on the way, stay tune with us~
• 2024.08:  ✨ Perceive-IR is on ArXiv now (All-in-one Image Restoration).
• 2024.06:  ✨ HyperSIGMA is on ArXiv now (The First One Billion Params Remote Sensing Foundation Model!).
• 2023.06:  ✨ ProRes is on ArXiv now (All-in-one Image Restoration).
• 2023.04:  🎉 One paper is accepted by Neural Networks.
• 2022.06:  🎉 One paper is accepted by ACM MM 2022.
• 2021.03:  🎉 One paper is accepted by CVPR 2021.
• 2020.10:  🎉 One paper is accepted by Pattern Recognition.
• 2019.05:  🎉 One paper is accepted by IJCAI 2019.

📝 Publications

Note: * Equal contribution, ^ Corresponding authors.

Under review (TIP)

• Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration

Xu Zhang*, Jiaqi Ma*, Guoli Wang, Qian Zhang, Huan Zhang, Lefei Zhang^.

Code, Project

we propose Perceive-IR, an all-in-one image restorer designed to achieve fine-grained quality control that enables restored images to more closely resemble their undistorted counterparts, regardless of the type or severity of degradation.

Under review (TPAMI)

• HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model

Di Wang*, Meiqi Hu*, Yao Jin*, Yuchun Miao*, Jiaqi Yang*, Yichu Xu*, Xiaolei Qin*, Jiaqi Ma*, Lingyu Sun*, Chenxing Li*, Chuan Fu, Hongruixuan Chen, Chengxi Han^, Naoto Yokoya, Jing Zhang^, Minqiang Xu, Lin Liu, Lefei Zhang, Chen Wu^, Bo Du^, Dacheng Tao, Liangpei Zhang^.

Code

we introduce HyperSIGMA, a vision transformer-based foundation model for HSI interpretation, scalable to over a billion parameters.

Under review (TIP)

• ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration

Jiaqi Ma*, Tianheng Cheng*, Guoli Wang, Qian Zhang, Xinggang Wang, Lefei Zhang^.

Code, Project

We perform the first attempt to involve visual prompt into image restoration tasks and explore some new findings.

Neural Networks

• Restoration and Enhancement on Low Exposure Raw Images by Joint Demosaicing and Denoising

Jiaqi Ma, Guoli Wang, Lefei Zhang^, Qian Zhang.

We propose a joint demosaicing and denoising framework for restoring and enhancing low exposure raw images.

ACM MM 2022

• ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative Transformer

Jiaqi Ma, Shengyuan Yan, Lefei Zhang^, Guoli Wang, Qian Zhang.

Code

We propose an efficient transformer framework for raw image restoration.

CVPR 2021

• Pseudo Facial Generation with Extreme Poses for Face Recognition

Guoli Wang, Jiaqi Ma, Qian Zhang, Jiwen Lu^, Jie Zhou.

Code

We discover the residual in extreme poses and propose a light-weight plug-in for face recognition.

Pattern Recognition

• Discriminative subspace matrix factorization for multiview data clustering

Jiaqi Ma, Yipeng Zhang, Lefei Zhang^.

We extend PSMF to multi-view scenero and discuss the combination of supervised and unsupervised framework.

IJCAI 2019

• Pseudo Supervised Matrix Factorization in Discriminative Subspace

Jiaqi Ma, Yipeng Zhang, Lefei Zhang^, Bo Du, Dapeng Tao.

We discover the relationship between NMF and LDA and propose a pseudo supervised matrix factorization method (PSMF).

🏆 Honors and Awards

• 2023.10,   China National Scholarship   Ministry of Education of the People’s Republic of China.
• 2022.06,   CSC(China Scholarship Council) Scholarship   Ministry of Education of the People’s Republic of China.
• 2021.11,   Yisheng Scholarship   Wuhan University.
• 2021.06,   Outstanding Postgraduate   Wuhan University.
• 2019.11,   China National Scholarship   Ministry of Education of the People’s Republic of China.
• 2019.11,   First-Class Outstanding Scholarship for Postgraduate   Wuhan University.

📖 Educations

• 2021.09 - now, Ph.D. student in Computer Science.   School of Computer Science, Wuhan University.

• 2018.09 - 2021.06, Master in Computer Science.   School of Computer Science, Wuhan University.

• 2014.09 - 2018.06, Bachelor in Computer Science.   School of Information Engineering, Zhengzhou University.

🔬 Internships

• 2020.10 - 2023.06,   Horizon Robotics   Research Intern.

👫 Collaboration

Tianheng Cheng, Zhihe Lu, Jiawang Bai, Zeyu Xiao

Xu Zhang, Shengyuan Yan, Hongyu Li

Chuan Fu, Di Wang, Chengxi Han, Yichu Xu, Yuchun Miao, Jiaqi Yang, Meiqi Hu, Yao Jin, Xiaolei Qin, Lingyu Sun, Chenxing Li, Hongruixuan Chen