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Long Ma 马龙
2nd Year CS Ph.D. Student

About Me

I am a 2nd-year Ph.D. student in Software Engineering at Dalian University of Technology, Dalian, China, working with Prof. Risheng Liu. Before that, I obtained my Master's degree in Software Engineering from Dalian University of Technology, Dalian, China in 2019, under the supervision of Prof. Risheng Liu. And I got my Bachelor's degree in Information and Scientific Computing at Northeast Agricultural University, Harbin, China in 2016.

My research interests broadly include Computer Vision and Deep Learning, with a focus on low-level vision using strong or weak supervision. I am especially interested in correspondence, segmentation, occlusion-aware scene understanding, visual question answering, and video analysis.

News

  • 2021/03/29 -- One paper accepted by SPL.
  • 2021/03/27 -- One paper accepted by TNNLS.
  • 2021/03/06 -- Five papers accepted by ICME.
  • 2021/03/01 -- One paper accepted by CVPR.
  • 2021/01/30 -- One paper accepted by ICASSP.

Education

Ph.D. in Department of Software Engineering, Dalian University of Technology, Dalian, China
Sep. 2019 - present
M.Sc. in School of Software Engineering, Dalian University of Technology, Dalian, China
Sep. 2016 - Jun. 2019
B.E. in School of Information and Scientific Computing, Northeast Agricultural University, Harbin, China
Sep. 2012 - Jun. 2016

Publications & Projects

Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement
Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo
Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Semantic Correspondence Self supervision Uncertainty Estimation Generative model
PDF
Code
Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement
Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, Zhongxuan Luo
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Semantic Correspondence Weak supervision
PDF
Code
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation
Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, Zhongxuan Luo
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Segmentation Part-based representations for object center voting Graph neural networks
PDF
Code
Video Deraining via Temporal Aggregation-and-Guidance
Long Ma, Risheng Liu, Xuefeng Zhang, Wei Zhong, Xin Fan
IEEE International Conference on Multimedia and Expo (ICME), 2021
Visual quesiton answering Conditional Random Field
PDF
Code
Searching Frame-Recurrent Attentive Deformable Network for Real-time Video Deraining
Xinwei Xue, Xiangyu Meng, Long Ma (Corresponding Author), Yi Wang, Risheng Liu, Xin Fan
IEEE International Conference on Multimedia and Expo (ICME), 2021
Visual quesiton answering Conditional Random Field
PDF
Code
Collaborative Reflectance-and-Illumination Learning for High-Efficient Low-light Image Enhancement
Guijing Zhu, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo
IEEE International Conference on Multimedia and Expo (ICME Oral), 2021
Visual quesiton answering Conditional Random Field
PDF
Code
A Convergent Framework with Learnable Feasibility for Hadamard-based Image Recovery
Yiyang Wang, Long Ma, Risheng Liu
Computer Vision and Image Understanding (CVIU), 2021
Visual quesiton answering Conditional Random Field
PDF
Code
NASA: A Noise-Adaptive and Structure-Aware Learning Framework for Image Deblurring
Xiaokun Liu, Long Ma, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Visual quesiton answering Conditional Random Field
PDF
Code
Spatial-Temporal Integration Network with Self-Guidance for Robust Video Deraining
Xiaokun Liu, Risheng Liu, Long Ma, Xin Fan, Zhongxuan Luo
IEEE International Conference on Multimedia and Expo (ICME), 2021
Visual quesiton answering Conditional Random Field
PDF
Code
STAR-Net: Spatial-Temporal Attention Residual Network for Video Deraining
Wei Zhong, Xuefeng Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo
IEEE International Conference on Multimedia and Expo (ICME), 2021
Visual quesiton answering Conditional Random Field
PDF
Code
GTA-Net: Gradual Temporal Aggregation Network for Fast Video Deraining
Xinwei Xue, Xiangyu Meng, Long Ma, Risheng Liu, Xin Fan
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Visual quesiton answering Conditional Random Field
PDF
Code
Joint Luminance and Chrominance Learning for Underwater Image Enhancement
Xinwei Xue, Zhenhua Hao, Long Ma, Yi Wang, Risheng Liu
IEEE Signal Processing Letters (SPL), 2021
Visual quesiton answering Conditional Random Field
PDF
Code
Joint Over and Under Exposures Correction by Aggregated Retinex Propagation for Image Enhancement
Long Ma, Dian Jin, Risheng Liu, Xin Fan, and Zhongxuan Luo
IEEE Signal Processing Letters (SPL), 2020
Visual quesiton answering Conditional Random Field
PDF
Code
Learning Multi-scale Retinex with Residual Network for Low-Light Image Enhancement
Long Ma, Jie Lin, Jingjie Shang, Wei Zhong, Xin Fan, Zhongxuan Luo, Risheng Liu
Pattern Recognition and Computer Vision (PRCV), 2020
Visual quesiton answering Conditional Random Field
PDF
Code
Principle-inspired multi-scale aggregation network for extremely low-light image enhancement
Jiaao Zhang, Risheng Liu, Long Ma, Wei Zhong, Xin Fan, Zhongxuan Luo
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Visual quesiton answering Conditional Random Field
PDF
Code
Learning Hadamard-Product-Propagation for Image Dehazing and Beyond
Risheng Liu, Shiqi Li, Jinyuan Liu, Long Ma, Xin Fan, Zhongxuan Luo
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020
Visual quesiton answering Conditional Random Field
PDF
Code
Sequential Deep Unrolling with Flow Priors for Robust Video Deraining
Xinwei Xue, Ying Ding, Pan Mu, Long Ma, Risheng Liu, Xin Fan
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Visual quesiton answering Conditional Random Field
PDF
Code
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