Long Ma

According to our database, Long Ma authored at least 65 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Deep Scene Curve for Fast and Robust Underwater Image Enhancement.

Xinwei Xue, Tianjiao Ma, Yidong Han, Long Ma, Risheng Liu

IEEE Signal Process. Lett., 2024

From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion.

Xingyuan Li, Yang Zou, Jinyuan Liu, Zhiying Jiang, Long Ma, Xin Fan, Risheng Liu

CoRR, 2024

Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion.

Guanyao Wu, Hongming Fu, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation.

Xiaohan Cui, Long Ma, Tengyu Ma, Jinyuan Liu, Xin Fan, Risheng Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning With Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision.

Risheng Liu, Long Ma, Tengyu Ma, Xin Fan, Zhongxuan Luo

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Low-Light Image Enhancement via Self-Reinforced Retinex Projection Model.

Long Ma, Risheng Liu, Yiyang Wang, Xin Fan, Zhongxuan Luo

IEEE Trans. Multim., 2023

Investigating intrinsic degradation factors by multi-branch aggregation for real-world underwater image enhancement.

Xinwei Xue, Zexuan Li, Long Ma, Qi Jia, Risheng Liu, Xin Fan

Pattern Recognit., 2023

AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training.

Xingyuan Li, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu

CoRR, 2023

Enhancing Infrared Small Target Detection Robustness with Bi-Level Adversarial Framework.

Zhu Liu, Zihang Chen, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu

CoRR, 2023

ASF-Net: Robust Video Deraining via Temporal Alignment and Online Adaptive Learning.

Xinwei Xue, Jia He, Long Ma, Xiangyu Meng, Wenlin Li, Risheng Liu

CoRR, 2023

Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration.

Di Wang, Jinyuan Liu, Long Ma, Risheng Liu, Xin Fan

CoRR, 2023

Bilevel Fast Scene Adaptation for Low-Light Image Enhancement.

Long Ma, Dian Jin, Nan An, Jinyuan Liu, Xin Fan, Risheng Liu

CoRR, 2023

MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes.

Xingyuan Li, Jinyuan Liu, Yixin Lei, Long Ma, Xin Fan, Risheng Liu

CoRR, 2023

Exploring a Distillation with Embedded Prompts for Object Detection in Adverse Environments.

Hao Fu, Long Ma, Jinyuan Liu, Xin Fan, Risheng Liu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation.

Zhu Liu, Jinyuan Liu, Benzhuang Zhang, Long Ma, Xin Fan, Risheng Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bilevel Generative Learning for Low-Light Vision.

Yingchi Liu, Zhu Liu, Long Ma, Jinyuan Liu, Xin Fan, Zhongxuan Luo, Risheng Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction.

Gehui Li, Jinyuan Liu, Long Ma, Zhiying Jiang, Xin Fan, Risheng Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond.

Zhu Liu, Jinyuan Liu, Guanyao Wu, Long Ma, Xin Fan, Risheng Liu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation.

Jinyuan Liu, Zhu Liu, Guanyao Wu, Long Ma, Risheng Liu, Wei Zhong, Zhongxuan Luo, Xin Fan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement.

Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, Zhongxuan Luo

IEEE Trans. Neural Networks Learn. Syst., 2022

Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation.

Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, Zhongxuan Luo

IEEE Trans. Neural Networks Learn. Syst., 2022

Task-Oriented Convex Bilevel Optimization With Latent Feasibility.

Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

IEEE Trans. Image Process., 2022

Practical Exposure Correction: Great Truths Are Always Simple.

Long Ma, Tianjiao Ma, Xinwei Xue, Xin Fan, Zhongxuan Luo, Risheng Liu

CoRR, 2022

Adjacent Slice Feature Guided 2.5D Network for Pulmonary Nodule Segmentation.

Xinwei Xue, Gaoyu Wang, Long Ma, Qi Jia, Yi Wang

CoRR, 2022

Video Deraining via Temporal Discrepancy Learning.

Yirui Fan, Long Ma, Risheng Liu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Best of Both Worlds: See and Understand Clearly in the Dark.

Xinwei Xue, Jia He, Long Ma, Yi Wang, Xin Fan, Risheng Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PIA: Parallel Architecture with Illumination Allocator for Joint Enhancement and Detection in Low-Light.

Tengyu Ma, Long Ma, Xin Fan, Zhongxuan Luo, Risheng Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration.

Guijing Zhu, Long Ma, Xin Fan, Risheng Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement.

Di Wang, Long Ma, Risheng Liu, Xin Fan

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning to Fuse Heterogeneous Features for Low-Light Image Enhancement.

Zhenyu Tang, Long Ma, Xiaoke Shang, Xin Fan

Proceedings of the IEEE International Conference on Acoustics, 2022

Toward Fast, Flexible, and Robust Low-Light Image Enhancement.

Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning Hadamard-Product-Propagation for Image Dehazing and Beyond.

Risheng Liu, Shiqi Li, Jinyuan Liu, Long Ma, Xin Fan, Zhongxuan Luo

IEEE Trans. Circuits Syst. Video Technol., 2021

Joint Luminance and Chrominance Learning for Underwater Image Enhancement.

Xinwei Xue, Zhenhua Hao, Long Ma, Yi Wang, Risheng Liu

IEEE Signal Process. Lett., 2021

Learning to Discover a Unified Architecture for Low-Level Vision.

Zhu Liu, Long Ma, Risheng Liu, Xin Fan

IEEE Signal Process. Lett., 2021

A convergent framework with learnable feasibility for Hadamard-based image recovery.

Yiyang Wang, Long Ma, Risheng Liu

Comput. Vis. Image Underst., 2021

Deep Multi-Illumination Fusion for Low-Light Image Enhancement.

Wei Zhong, Jie Lin, Long Ma, Risheng Liu, Xin Fan

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Semantic-Driven Context Aggregation Network for Underwater Image Enhancement.

Dongxiang Shi, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining.

Zhu Liu, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo, Yuduo Zhang

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Bridging the Gap between Low-Light Scenes: Bilevel Learning for Fast Adaptation.

Dian Jin, Long Ma, Risheng Liu, Xin Fan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Collaborative Reflectance-And-Illumination Learning For High-Efficient Low-Light Image Enhancement.

Guijing Zhu, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Star-Net: Spatial-Temporal Attention Residual Network for Video Deraining.

Wei Zhong, Xuefeng Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Searching Frame-Recurrent Attentive Deformable Network for Real-Time Video Deraining.

Xinwei Xue, Xiangyu Meng, Long Ma, Yi Wang, Risheng Liu, Xin Fan

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Spatial-Temporal Integration Network with Self-Guidance for Robust Video Deraining.

Xiaokun Liu, Risheng Liu, Long Ma, Xin Fan, Zhongxuan Luo

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Video Deraining Via Temporal Aggregation-and-Guidance.

Long Ma, Risheng Liu, Xuefeng Zhang, Wei Zhong, Xin Fan

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

GTA-Net: Gradual Temporal Aggregation Network for Fast Video Deraining.

Xinwei Xue, Xiangyu Meng, Long Ma, Risheng Liu, Xin Fan

Proceedings of the IEEE International Conference on Acoustics, 2021

Temporal Rain Decomposition with Spatial Structure Guidance for Video Deraining.

Xinwei Xue, Ying Ding, Long Ma, Yi Wang, Risheng Liu, Xin Fan

Proceedings of the IEEE International Conference on Acoustics, 2021

NASA: A Noise-Adaptive and Structure-Aware Learning Framework for Image Deblurring.

Xiaokun Liu, Long Ma, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo

Proceedings of the IEEE International Conference on Acoustics, 2021

Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement.

Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Multi-scale Underexposure Image Correction.

Wei Zhong, Xiaodong Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Attention Guided Retinex Architecture Search for Robust Low-light Image Enhancement.

Xiaoke Shang, Jingjie Shang, Long Ma, Shaomin Zhang, Nai Ding

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement.

Xinwei Xue, Zexuan Li, Long Ma, Risheng Liu, Xin Fan

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Joint Over and Under Exposures Correction by Aggregated Retinex Propagation for Image Enhancement.

Long Ma, Dian Jin, Risheng Liu, Xin Fan, Zhongxuan Luo

IEEE Signal Process. Lett., 2020

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

Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

Principle-Inspired Multi-Scale Aggregation Network for Extremely Low-Light Image Enhancement.

Jiaao Zhang, Risheng Liu, Long Ma, Wei Zhong, Xin Fan, Zhongxuan Luo

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Sequential Deep Unrolling With Flow Priors For Robust Video Deraining.

Xinwei Xue, Ying Ding, Pan Mu, Long Ma, Risheng Liu, Xin Fan

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Learning Converged Propagations With Deep Prior Ensemble for Image Enhancement.

Risheng Liu, Long Ma, Yiyang Wang, Lei Zhang

IEEE Trans. Image Process., 2019

Deep Proximal Unrolling: Algorithmic Framework, Convergence Analysis and Applications.

Risheng Liu, Shichao Cheng, Long Ma, Xin Fan, Zhongxuan Luo

IEEE Trans. Image Process., 2019

Bilevel Integrative Optimization for Ill-posed Inverse Problems.

Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

CoRR, 2019

Enhanced Residual Dense Intrinsic Network for Intrinsic Image Decomposition.

Risheng Liu, Cheng Yang, Long Ma, Miao Zhang, Xin Fan, Zhongxuan Luo

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization.

Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Bridging Framework for Model Optimization and Deep Propagation.

Risheng Liu, Shichao Cheng, Xiaokun Liu, Long Ma, Xin Fan, Zhongxuan Luo

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Prior-guided deep residual propagation for non-blind image deconvolution.

Long Ma, Zhiying Jiang, Risheng Liu, Xin Fan

Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

Robust Haze Removal Via Joint Deep Transmission and Scene Propagation.

Risheng Liu, Shiqi Li, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Deep Layer Prior Optimization for Single Image Rain Streaks Removal.

Risheng Liu, Zhiying Jiang, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Unrolled Optimization with Deep Priors for Intrinsic Image Decomposition.

Cheng Yang, Risheng Liu, Long Ma, Xin Fan, Haojie Li, Miao Zhang

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018