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Ming Ma 0006
Person information
- affiliation: Inner Mongolia University, College of Computer Science, Hohhot, China
Other persons with the same name
- Ming Ma — disambiguation page
- Ming Ma 0001 — University of South Florida, Computer Science and Engineering Department, Tampa, FL, USA
- Ming Ma 0002
— Northwest Minzu University, School of Mathematics and Computer Science, Lanzhou, China (and 1 more) - Ming Ma 0003
— Stony Brook University, Department of Computer Science, NY, USA - Ming Ma 0004 — Yeshiva University, NY, USA (and 3 more)
- Ming Ma 0005 — Hewlett Packard Company, Storageworks Division, Bellevue, WA, USA (and 1 more)
- Ming Ma 0007
— Shandong University, School of Software, Jinan, China - Ming Ma 0008
— National University of Defense Technology, School of Electronic Science, Hunan, China - Ming Ma 0009
— Anhui Jianzhu University, School of Architecture and Urban Planning, China - Ming Ma 0010
— Jilin University, College of Instrumentation and Electrical Engineering, Changchun, China - Ming Ma 0011
— Jiangsu University, Department of Electronic Information Engineering, Zhenjiang, China - Ming Ma 0012
— Tsinghua University, Department of Engineering Mechanics, Center for Nano and Micro Mechanics, Beijing, China - Ming Ma 0013 — Beihua University, Information Management Center, Jilin, China
- Ming Ma 0014 — Chinese Academy of Sciences, Institute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China
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2020 – today
- 2025
[c13]Jiaqi Li, Ming Ma:
DSDN-Net: An Effective Network for Semantic Segmentation in Open-Pit Coal Mining Areas for Land Cover Recognition. ICASSP 2025: 1-5
[c12]Xinqi Li, Shaojie Li, Ming Ma:
Interactive and Balanced Multimodal Learning via Cross Attention and Gradient Modulation for Compressed Video Action Recognition. ICASSP 2025: 1-5
[c11]Kun Yao
, Yufang Zhang, Xu Zhao, Ming Ma
:
YOLO-MAOD: An Algorithm for Ground Object Detection in Open-Pit Mine Based on Remote Sensing Images. ICIC (21) 2025: 437-448
[c10]Tiantian Liu
, Kai Li
, Ming Ma
:
DC-SNet: Efficient Spatio-Temporal Prediction Network Based On Dual-Domain Collaborative Spatiotemporal Network. ICMR 2025: 842-850- 2024
[c9]Yang Xi
, Jinxin Guo
, Ming Ma
:
YOLO-BS: A Better Object Detection Model for Real-Time Driver Behavior Detection. ICIC (12) 2024: 78-89
[c8]Xintian Niu
, Yige ng Liu
, Ming Ma
:
A Transformer-Based Model for Time Series Prediction of Remote Sensing Data. ICIC (LNAI 2) 2024: 188-200
[c7]Yufang Zhang
, Xiaojun Su
, Ming Ma
:
MA-YOLOv8 Algorithm for Mining Area Object Detection Based on High-Resolution Remote Sensing Images. ICIC (LNAI 5) 2024: 323-335- 2023
[c6]Zhiming Lu, Ying Chen
, Shaojie Li
, Ming Ma
:
SDGC-YOLOv5: A More Accurate Model for Small Object Detection. ICANN (7) 2023: 199-209
[c5]Jinxin Guo, Jiaqiang Zhang, Shaojie Li, Xiaojing Zhang, Ming Ma:
MTFD: Multi-Teacher Fusion Distillation for Compressed Video Action Recognition. ICASSP 2023: 1-5
[c4]Shaojie Li, Jiaqi Li, Jinxin Guo, Ming Ma:
META: Motion Excitation With Temporal Attention for Compressed Video Action Recognition. ICPADS 2023: 236-241
[c3]Jinxin Guo, Jiaqiang Zhang, Xiaojing Zhang, Ming Ma:
LAE-Net: Light and Efficient Network for Compressed Video Action Recognition. MMM (2) 2023: 265-276
[c2]Shaojie Li, Jinxin Guo, Jiaqiang Zhang, Xu Guo, Ming Ma:
IFF-Net: I-Frame Fusion Network for Compressed Video Action Recognition. SMC 2023: 2373-2378- 2022
[c1]Jiaqiang Zhang
, Jinxin Guo
, Ming Ma
:
Multi-Knowledge Attention Transfer Framework for Action Recognition. ICANN (1) 2022: 231-242- 2021
[i1]Bin Zhang, Yang Wu, Xiaojing Zhang, Ming Ma:
a novel attention-based network for fast salient object detection. CoRR abs/2112.10481 (2021)
2010 – 2019
- 2019
[j4]Ming Ma, Houbing Song
:
Effective moving object detection in H.264/AVC compressed domain for video surveillance. Multim. Tools Appl. 78(24): 35195-35209 (2019)- 2017
[j3]Shuai Liu
, Weina Fu
, Liqiang He, Jiantao Zhou, Ming Ma:
Distribution of primary additional errors in fractal encoding method. Multim. Tools Appl. 76(4): 5787-5802 (2017)- 2016
[j2]Weina Fu
, Jiantao Zhou, Shuai Liu
, Ming Ma, Yingdong Ma:
Differential trajectory tracking with automatic learning of background reconstruction. Multim. Tools Appl. 75(21): 13001-13013 (2016)
[j1]Shuai Liu
, Zhibin Zhang, Lingyun Qi, Ming Ma:
A fractal image encoding method based on statistical loss used in agricultural image compression. Multim. Tools Appl. 75(23): 15525-15536 (2016)
Coauthor Index

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