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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 — Winona State University, Department of Computer Science, MN, USA (and 2 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
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2020 – today
- 2024
- [c8]Yang Xi, Jinxin Guo, Ming Ma:
YOLO-BS: A Better Object Detection Model for Real-Time Driver Behavior Detection. ICIC (12) 2024: 78-89 - [c7]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 - [c6]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
- [c5]Zhiming Lu, Ying Chen, Shaojie Li, Ming Ma:
SDGC-YOLOv5: A More Accurate Model for Small Object Detection. ICANN (7) 2023: 199-209 - [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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last updated on 2025-01-14 22:15 CET by the dblp team
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