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Long Ma 0002
Person information
- affiliation: Dalian University of Technology, DUT-RU International School of Information Science and Engineering, China
- affiliation: Dalian University of Technology, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, China
Other persons with the same name
- Long Ma — disambiguation page
- Long Ma 0001 — University of Heidelberg, Germany
- Long Ma 0003 — Zhengzhou University, School of Information Engineering, China (and 1 more)
- Long Ma 0004 — Zhejiang Gongshang University, International Business School, Zhejiang, China
- Long Ma 0005 — Xinjiang Institute of Ecology and Geography, State Key Laboratory of Desert and Oasis Ecology, Urumqi, China
- Long Ma 0006 — North China Electric Power University, School of Electrical and Electronic Engineering, Baoding, China
- Long Ma 0007 — Xi'an Technological University, School of Computer Science and Engineering, China
- Long Ma 0008 — Delft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, Netherlands
- Long Ma 0009 — Shandong University, School of Software, Jinan, China (and 1 more)
- Long Ma 0010 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China (and 1 more)
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2020 – today
- 2025
- [j16]Xinwei Xue, Jia He, Long Ma, Xiangyu Meng, Wenlin Li, Risheng Liu:
ASF-Net: Robust video deraining via temporal alignment and online adaptive learning. Pattern Recognit. 158: 110973 (2025) - 2024
- [j15]Yuxin Feng, Long Ma, Xiaozhe Meng, Fan Zhou, Risheng Liu, Zhuo Su:
Advancing Real-World Image Dehazing: Perspective, Modules, and Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9303-9320 (2024) - [j14]Xinwei Xue, Tianjiao Ma, Yidong Han, Long Ma, Risheng Liu:
Learning Deep Scene Curve for Fast and Robust Underwater Image Enhancement. IEEE Signal Process. Lett. 31: 6-10 (2024) - [c44]Xiaohan Cui, Long Ma, Tengyu Ma, Jinyuan Liu, Xin Fan, Risheng Liu:
Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation. AAAI 2024: 1417-1425 - [c43]Guanyao Wu, Hongming Fu, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu:
Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion. AAAI 2024: 5985-5993 - [c42]Xingyuan Li, Jinyuan Liu, Zhixin Chen, Yang Zou, Long Ma, Xin Fan, Risheng Liu:
Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution. ECCV (3) 2024: 270-288 - [c41]Jinyuan Liu, Guanyao Wu, Zhu Liu, Long Ma, Risheng Liu, Xin Fan:
Where Elegance Meets Precision: Towards a Compact, Automatic, and Flexible Framework for Multi-modality Image Fusion and Applications. IJCAI 2024: 1110-1118 - [c40]Chengpei Xu, Hao Fu, Long Ma, Wenjing Jia, Chengqi Zhang, Feng Xia, Xiaoyu Ai, Binghao Li, Wenjie Zhang:
Seeing Text in the Dark: Algorithm and Benchmark. ACM Multimedia 2024: 2870-2878 - [i26]Xingyuan Li, Yang Zou, Jinyuan Liu, Zhiying Jiang, Long Ma, Xin Fan, Risheng Liu:
From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion. CoRR abs/2401.00421 (2024) - [i25]Chengpei Xu, Hao Fu, Long Ma, Wenjing Jia, Chengqi Zhang, Feng Xia, Xiaoyu Ai, Binghao Li, Wenjie Zhang:
Seeing Text in the Dark: Algorithm and Benchmark. CoRR abs/2404.08965 (2024) - 2023
- [j13]Risheng Liu, Long Ma, Tengyu Ma, Xin Fan, Zhongxuan Luo:
Learning With Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5953-5969 (2023) - [j12]Xinwei Xue, Zexuan Li, Long Ma, Qi Jia, Risheng Liu, Xin Fan:
Investigating intrinsic degradation factors by multi-branch aggregation for real-world underwater image enhancement. Pattern Recognit. 133: 109041 (2023) - [j11]Long Ma, Risheng Liu, Yiyang Wang, Xin Fan, Zhongxuan Luo:
Low-Light Image Enhancement via Self-Reinforced Retinex Projection Model. IEEE Trans. Multim. 25: 3573-3586 (2023) - [c39]Jinyuan Liu, Zhu Liu, Guanyao Wu, Long Ma, Risheng Liu, Wei Zhong, Zhongxuan Luo, Xin Fan:
Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation. ICCV 2023: 8081-8090 - [c38]Zhu Liu, Jinyuan Liu, Guanyao Wu, Long Ma, Xin Fan, Risheng Liu:
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond. IJCAI 2023: 1240-1248 - [c37]Zhu Liu, Jinyuan Liu, Benzhuang Zhang, Long Ma, Xin Fan, Risheng Liu:
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation. ACM Multimedia 2023: 3706-3714 - [c36]Gehui Li, Jinyuan Liu, Long Ma, Zhiying Jiang, Xin Fan, Risheng Liu:
Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction. ACM Multimedia 2023: 7304-7313 - [c35]Yingchi Liu, Zhu Liu, Long Ma, Jinyuan Liu, Xin Fan, Zhongxuan Luo, Risheng Liu:
Bilevel Generative Learning for Low-Light Vision. ACM Multimedia 2023: 7758-7766 - [c34]Hao Fu, Long Ma, Jinyuan Liu, Xin Fan, Risheng Liu:
Exploring a Distillation with Embedded Prompts for Object Detection in Adverse Environments. PRCV (10) 2023: 420-431 - [i24]Zhu Liu, Jinyuan Liu, Guanyao Wu, Long Ma, Xin Fan, Risheng Liu:
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond. CoRR abs/2305.06720 (2023) - [i23]Xingyuan Li, Jinyuan Liu, Yixin Lei, Long Ma, Xin Fan, Risheng Liu:
MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes. CoRR abs/2305.10974 (2023) - [i22]Long Ma, Dian Jin, Nan An, Jinyuan Liu, Xin Fan, Risheng Liu:
Bilevel Fast Scene Adaptation for Low-Light Image Enhancement. CoRR abs/2306.01343 (2023) - [i21]Jinyuan Liu, Zhu Liu, Guanyao Wu, Long Ma, Risheng Liu, Wei Zhong, Zhongxuan Luo, Xin Fan:
Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation. CoRR abs/2308.02097 (2023) - [i20]Yingchi Liu, Zhu Liu, Long Ma, Jinyuan Liu, Xin Fan, Zhongxuan Luo, Risheng Liu:
Bilevel Generative Learning for Low-Light Vision. CoRR abs/2308.03381 (2023) - [i19]Zhu Liu, Jinyuan Liu, Benzhuang Zhang, Long Ma, Xin Fan, Risheng Liu:
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation. CoRR abs/2308.03979 (2023) - [i18]Di Wang, Jinyuan Liu, Long Ma, Risheng Liu, Xin Fan:
Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration. CoRR abs/2308.11165 (2023) - [i17]Gehui Li, Jinyuan Liu, Long Ma, Zhiying Jiang, Xin Fan, Risheng Liu:
Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction. CoRR abs/2309.00872 (2023) - [i16]Xinwei Xue, Jia He, Long Ma, Xiangyu Meng, Wenlin Li, Risheng Liu:
ASF-Net: Robust Video Deraining via Temporal Alignment and Online Adaptive Learning. CoRR abs/2309.00956 (2023) - [i15]Zhu Liu, Zihang Chen, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu:
Enhancing Infrared Small Target Detection Robustness with Bi-Level Adversarial Framework. CoRR abs/2309.01099 (2023) - [i14]Xingyuan Li, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu:
AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training. CoRR abs/2309.01106 (2023) - [i13]Guanyao Wu, Hongming Fu, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu:
Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-free Multi-Exposure Image Fusion. CoRR abs/2309.01113 (2023) - [i12]Xiaohan Cui, Long Ma, Tengyu Ma, Jinyuan Liu, Xin Fan, Risheng Liu:
Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation. CoRR abs/2309.03548 (2023) - 2022
- [j10]Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
Task-Oriented Convex Bilevel Optimization With Latent Feasibility. IEEE Trans. Image Process. 31: 1190-1203 (2022) - [j9]Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, Zhongxuan Luo:
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3425-3436 (2022) - [j8]Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5666-5680 (2022) - [c33]Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Toward Fast, Flexible, and Robust Low-Light Image Enhancement. CVPR 2022: 5627-5636 - [c32]Zhenyu Tang, Long Ma, Xiaoke Shang, Xin Fan:
Learning to Fuse Heterogeneous Features for Low-Light Image Enhancement. ICASSP 2022: 2100-2104 - [c31]Di Wang, Long Ma, Risheng Liu, Xin Fan:
Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement. ICRA 2022: 4592-4598 - [c30]Guijing Zhu, Long Ma, Xin Fan, Risheng Liu:
Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration. IJCAI 2022: 1757-1764 - [c29]Tengyu Ma, Long Ma, Xin Fan, Zhongxuan Luo, Risheng Liu:
PIA: Parallel Architecture with Illumination Allocator for Joint Enhancement and Detection in Low-Light. ACM Multimedia 2022: 2070-2078 - [c28]Xinwei Xue, Jia He, Long Ma, Yi Wang, Xin Fan, Risheng Liu:
Best of Both Worlds: See and Understand Clearly in the Dark. ACM Multimedia 2022: 2154-2162 - [c27]Yirui Fan, Long Ma, Risheng Liu:
Video Deraining via Temporal Discrepancy Learning. PRCV (4) 2022: 3-14 - [i11]Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Toward Fast, Flexible, and Robust Low-Light Image Enhancement. CoRR abs/2204.10137 (2022) - [i10]Xinwei Xue, Gaoyu Wang, Long Ma, Qi Jia, Yi Wang:
Adjacent Slice Feature Guided 2.5D Network for Pulmonary Nodule Segmentation. CoRR abs/2211.10597 (2022) - [i9]Di Wang, Long Ma, Risheng Liu, Xin Fan:
Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement. CoRR abs/2211.10608 (2022) - [i8]Long Ma, Tianjiao Ma, Xinwei Xue, Xin Fan, Zhongxuan Luo, Risheng Liu:
Practical Exposure Correction: Great Truths Are Always Simple. CoRR abs/2212.14245 (2022) - 2021
- [j7]Yiyang Wang, Long Ma, Risheng Liu:
A convergent framework with learnable feasibility for Hadamard-based image recovery. Comput. Vis. Image Underst. 202: 103095 (2021) - [j6]Xinwei Xue, Zhenhua Hao, Long Ma, Yi Wang, Risheng Liu:
Joint Luminance and Chrominance Learning for Underwater Image Enhancement. IEEE Signal Process. Lett. 28: 818-822 (2021) - [j5]Zhu Liu, Long Ma, Risheng Liu, Xin Fan:
Learning to Discover a Unified Architecture for Low-Level Vision. IEEE Signal Process. Lett. 28: 1470-1474 (2021) - [j4]Risheng Liu, Shiqi Li, Jinyuan Liu, Long Ma, Xin Fan, Zhongxuan Luo:
Learning Hadamard-Product-Propagation for Image Dehazing and Beyond. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1366-1379 (2021) - [c26]Xinwei Xue, Zexuan Li, Long Ma, Risheng Liu, Xin Fan:
Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement. ACML 2021: 1224-1236 - [c25]Wei Zhong, Xiaodong Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Learning Multi-scale Underexposure Image Correction. CICAI 2021: 252-263 - [c24]Xiaoke Shang, Jingjie Shang, Long Ma, Shaomin Zhang, Nai Ding:
Attention Guided Retinex Architecture Search for Robust Low-light Image Enhancement. CICAI 2021: 444-455 - [c23]Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement. CVPR 2021: 10561-10570 - [c22]Xinwei Xue, Ying Ding, Long Ma, Yi Wang, Risheng Liu, Xin Fan:
Temporal Rain Decomposition with Spatial Structure Guidance for Video Deraining. ICASSP 2021: 2015-2019 - [c21]Xinwei Xue, Xiangyu Meng, Long Ma, Risheng Liu, Xin Fan:
GTA-Net: Gradual Temporal Aggregation Network for Fast Video Deraining. ICASSP 2021: 2020-2024 - [c20]Xiaokun Liu, Long Ma, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo:
NASA: A Noise-Adaptive and Structure-Aware Learning Framework for Image Deblurring. ICASSP 2021: 2065-2069 - [c19]Long Ma, Risheng Liu, Xuefeng Zhang, Wei Zhong, Xin Fan:
Video Deraining Via Temporal Aggregation-and-Guidance. ICME 2021: 1-6 - [c18]Xiaokun Liu, Risheng Liu, Long Ma, Xin Fan, Zhongxuan Luo:
Spatial-Temporal Integration Network with Self-Guidance for Robust Video Deraining. ICME 2021: 1-6 - [c17]Xinwei Xue, Xiangyu Meng, Long Ma, Yi Wang, Risheng Liu, Xin Fan:
Searching Frame-Recurrent Attentive Deformable Network for Real-Time Video Deraining. ICME 2021: 1-6 - [c16]Wei Zhong, Xuefeng Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Star-Net: Spatial-Temporal Attention Residual Network for Video Deraining. ICME 2021: 1-6 - [c15]Guijing Zhu, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Collaborative Reflectance-And-Illumination Learning For High-Efficient Low-Light Image Enhancement. ICME 2021: 1-6 - [c14]Dian Jin, Long Ma, Risheng Liu, Xin Fan:
Bridging the Gap between Low-Light Scenes: Bilevel Learning for Fast Adaptation. ACM Multimedia 2021: 2401-2409 - [c13]Zhu Liu, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo, Yuduo Zhang:
Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining. PRCV (3) 2021: 16-28 - [c12]Dongxiang Shi, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Semantic-Driven Context Aggregation Network for Underwater Image Enhancement. PRCV (3) 2021: 29-40 - [c11]Wei Zhong, Jie Lin, Long Ma, Risheng Liu, Xin Fan:
Deep Multi-Illumination Fusion for Low-Light Image Enhancement. PRCV (3) 2021: 140-150 - [i7]Risheng Liu, Long Ma, Tengyu Ma, Xin Fan, Zhongxuan Luo:
Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision. CoRR abs/2112.04719 (2021) - [i6]Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement. CoRR abs/2112.05147 (2021) - 2020
- [j3]Long Ma, Dian Jin, Risheng Liu, Xin Fan, Zhongxuan Luo:
Joint Over and Under Exposures Correction by Aggregated Retinex Propagation for Image Enhancement. IEEE Signal Process. Lett. 27: 1210-1214 (2020) - [c10]Xinwei Xue, Ying Ding, Pan Mu, Long Ma, Risheng Liu, Xin Fan:
Sequential Deep Unrolling With Flow Priors For Robust Video Deraining. ICASSP 2020: 1813-1817 - [c9]Jiaao Zhang, Risheng Liu, Long Ma, Wei Zhong, Xin Fan, Zhongxuan Luo:
Principle-Inspired Multi-Scale Aggregation Network for Extremely Low-Light Image Enhancement. ICASSP 2020: 2638-2642 - [c8]Long Ma, Jie Lin, Jingjie Shang, Wei Zhong, Xin Fan, Zhongxuan Luo, Risheng Liu:
Learning Multi-scale Retinex with Residual Network for Low-Light Image Enhancement. PRCV (1) 2020: 291-302 - [i5]Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement. CoRR abs/2012.05609 (2020)
2010 – 2019
- 2019
- [j2]Risheng Liu, Long Ma, Yiyang Wang, Lei Zhang:
Learning Converged Propagations With Deep Prior Ensemble for Image Enhancement. IEEE Trans. Image Process. 28(3): 1528-1543 (2019) - [j1]Risheng Liu, Shichao Cheng, Long Ma, Xin Fan, Zhongxuan Luo:
Deep Proximal Unrolling: Algorithmic Framework, Convergence Analysis and Applications. IEEE Trans. Image Process. 28(10): 5013-5026 (2019) - [c7]Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song:
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization. AAAI 2019: 1650-1657 - [c6]Risheng Liu, Cheng Yang, Long Ma, Miao Zhang, Xin Fan, Zhongxuan Luo:
Enhanced Residual Dense Intrinsic Network for Intrinsic Image Decomposition. ICME 2019: 1462-1467 - [i4]Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
Bilevel Integrative Optimization for Ill-posed Inverse Problems. CoRR abs/1907.03083 (2019) - [i3]Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, Zhongxuan Luo:
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation. CoRR abs/1907.07408 (2019) - 2018
- [c5]Cheng Yang, Risheng Liu, Long Ma, Xin Fan, Haojie Li, Miao Zhang:
Unrolled Optimization with Deep Priors for Intrinsic Image Decomposition. BigMM 2018: 1-7 - [c4]Risheng Liu, Shiqi Li, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo:
Robust Haze Removal Via Joint Deep Transmission and Scene Propagation. ICASSP 2018: 1373-1377 - [c3]Risheng Liu, Zhiying Jiang, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo:
Deep Layer Prior Optimization for Single Image Rain Streaks Removal. ICASSP 2018: 1408-1412 - [c2]Long Ma, Zhiying Jiang, Risheng Liu, Xin Fan:
Prior-guided deep residual propagation for non-blind image deconvolution. ICIMCS 2018: 38:1-38:5 - [c1]Risheng Liu, Shichao Cheng, Xiaokun Liu, Long Ma, Xin Fan, Zhongxuan Luo:
A Bridging Framework for Model Optimization and Deep Propagation. NeurIPS 2018: 4323-4332 - [i2]Risheng Liu, Long Ma, Yiyang Wang, Lei Zhang:
Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement. CoRR abs/1810.04012 (2018) - [i1]Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song:
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-convex Optimization. CoRR abs/1811.01587 (2018)
Coauthor Index
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last updated on 2024-11-22 19:44 CET by the dblp team
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