个人简介
| 从事深度学习机器视觉领域的目标检测、行人检测、图像超分辨率、三维物体重构等方面的研究。在Knowledge-Based Systems, Applied Intelligence, International Journal of Pattern Recognition and Artificial Intelligence, Visual Computer 等国际期刊上发表关于深度学习、目标检测、行人检测、图像超分辨率、三维物体重构等相关领域研究论文10余篇，申请并授权发明专利3项。在深度学习、目标检测、图像超分辨率、三维物体重构等领域积累了丰富的研究经验和相关成果。担任多个期刊的特邀审稿人。主持或参研纵向及横向科研项目多项。 |
工作经历
| 2022年11月—至今，西华大学计算机与软件工程学院，讲师； |
教育经历
| 电子科技大学 博士 电子科技大学 硕士 |
研究方向
深度学习框架下的目标检测、行人检测、三维物体重构、图像超分辨率等计算机视觉领域研究 |
学术成果
1. Ma T, Tian W H, Kuang P, Xie Y. An anchor-free object detector with novel corner matching method[J]. Knowledge-Based Systems, 2021, 224: 107-123 (JCR Q1，Top期刊, SCI 一区, 影响因子: 8.038, 中国计算机学会C类期刊) 2. Ma T, Tian W H, Xie Y. Multi-level knowledge distillation for low-resolution object detection and facial expression recognition[J]. Knowledge-Based Systems, 2022, 240: 108-136 (JCR Q1，Top期刊, SCI 一区, 影响因子: 8.038, 中国计算机学会C类期刊) 3. Ma T, Kuang P, Tian W. An improved recurrent neural networks for 3d object reconstruction [J]. Applied Intelligence, 2020, 50(3): 905-923 (JCR Q2，SCI 二区, 影响因子: 5.01, 中国计算机学会B类期刊) 4. Ma T, Tian W. Back-projection-based progressive growing generative adversarial network for single image super[1]resolution[J]. Visual Computer, 2021, 37: 925-938 (JCR Q2，SCI 三区, 影响因子: 2.601, 中国计算机学会C类期刊) 5. Ma T, ZX H. Automatic Label Assignment Object Detection Mehtod on Only One Feature Map[J]. Machine VIsion and Application, 2023, 35: 1 (SCI 三区，影响因子2.98) 6. Ma T, Tian W. Arbitrary back-projection networks for image super-resolution[J]. International Journal of Computational Intelligence and Application, 2020, 19(4): 205-216 (EI 期刊) 7. Ma T, Tian W, Xie Y. Object detection with auto-learning anchor algorithm[C]. International Conference on Advances in Image Processing, Chengdu, Sichuan, 2020:27-34 (EI会议) 8. Ping Kuang & Tingsong Ma. Image super-resolution with densely connected convolutional networks. Applied Intelligence, 2019, 49(1): 125-136 (学生一作, JCR Q2，SCI 二区, 影响因子:5.01，中国计算机学会B类期刊) 9. Ping Kuang & Tingsong Ma. Real-Time Pedestrian Detection Using Convolutional Neural Networks, International Journal of Pattern Recognition and Artificial Intelligence, 2018, 32(11) (学生一作，JCRQ3，SCI 四区) 10. Kuang Ping, Ma Tingsong. Pedestrian detection by using subdivision label. 13th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2017, pp 281-284（学生一作，EI会议） 11. Liu Zhu, Ma Tingsong, Xie Yuanlun. Detecting Anomaly Features in Facial Expression Recognition. Communications in Computer and Information Science. 2021, 1516: 405-413 （EI期刊） 12. Xie Yuanlun, Tian Wenhong, Ma Tingsong. A Transfer Learning Approach to Compound Facial Expression Recognition. ACM International Conference Proceeding Series, 2020, Volume PartF169255, Pages 95-101 （EI会议） 13. Xie Yuanlun, He Majun, Ma Tingsong. Optimal distributed parallel algorithms for deep learning framework Tensorflow, Applied Intelligence, 2022, 52(4): 3880-3900 (SCI 二区, 影响因子: 5.01, 中国计算机学会B类期刊) 14.Tian Wenhong, Xie Yuanlun, Ma Tingsong. Uncover common facial expressions in terracotta warriors: A deep learning approach. arXiv, May 11, 2021. |
教学工作
大数据分析与挖掘 Java程序设计 |
荣誉奖励
2020年7月 第六届电子科技大学“互联网”大学生创新创业大赛 二等奖 2018年11月 电子科技大学优秀研究生奖 2021年11月 电子科技大学优秀研究生奖 |