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ORCIDCong Ma 0004
Person information
- affiliation: Beijing Jiaotong University, Institute of Information Science, Beijing, China
- affiliation (2018): University of California Merced, CA, USA
Other persons with the same name
- Cong Ma — disambiguation page
- Cong Ma 0001
![[0000-0003-2532-0038]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2532-0038")
— University of Chicago, Department of Statistics, Chicago, IL, USA (and 2 more) - Cong Ma 0002 — Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS) / formerly, National Laboratory of Pattern Recognition (NLPR), Beijing, China (and 1 more)
- Cong Ma 0003 — ZTE Corporation, Shenzhen, China (and 1 more)
- Cong Ma 0005 — Northwest University, School of Economics and Management, Xi'an, China (and 2 more)
- Cong Ma 0006 — Peking University, National Engineering Laboratory for Video Technology, Beijing, China
- Cong Ma 0007 — Tsinghua University, Department of Biomedical Engineering, School of Medicine, Beijing, China
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2020 – today
- 2022
[j6]Shaoyue Song, Zhenjiang Miao, Hongkai Yu, Jianwu Fang, Kang Zheng, Cong Ma, Song Wang:
Deep Domain Adaptation Based Multi-Spectral Salient Object Detection. IEEE Trans. Multim. 24: 128-140 (2022)- [j5]Min Li, Zhenjiang Miao, Xiao-Ping Zhang, Wanru Xu, Cong Ma, Ningwei Xie:
Rhythm-Aware Sequence-to-Sequence Learning for Labanotation Generation With Gesture-Sensitive Graph Convolutional Encoding. IEEE Trans. Multim. 24: 1488-1502 (2022) - 2020
- [c10]Shaoyue Song, Hongkai Yu, Zhenjiang Miao, Jianwu Fang, Kang Zheng, Cong Ma, Song Wang:
Multi-Spectral Salient Object Detection by Adversarial Domain Adaptation. AAAI 2020: 12023-12030 - [c9]Min Li, Zhenjiang Miao, Cong Ma:
Sequence-to-Sequence Labanotation Generation Based on Motion Capture Data. ICASSP 2020: 4517-4521 - [c8]Min Li, Zhenjiang Miao, Cong Ma, Ang Li, Tianyu Zhou:
An Automatic Framework For Generating Labanotation Scores From Continuous Motion Capture Data. ICME 2020: 1-6
2010 – 2019
- 2019
- [j4]Min Li, Zhenjiang Miao, Cong Ma:
Dance Movement Learning for Labanotation Generation Based on Motion-Captured Data. IEEE Access 7: 161561-161572 (2019) - [j3]Shaoyue Song, Hongkai Yu, Zhenjiang Miao, Dazhou Guo, Wei Ke, Cong Ma, Song Wang:
An easy-to-hard learning strategy for within-image co-saliency detection. Neurocomputing 358: 166-176 (2019) - [c7]Ruyi Zhang, Zhenjiang Miao, Cong Ma, Shanshan Hao:
Aggregating Motion and Attention for Video Object Detection. ACPR (2) 2019: 601-610 - 2018
- [c6]Cong Ma, Zhenjiang Miao, Min Li, Shaoyue Song, Ming-Hsuan Yang:
Detecting Anomalous Trajectories via Recurrent Neural Networks. ACCV (4) 2018: 370-382 - 2017
- [j2]Cong Ma, Zhenjiang Miao, Xiao-Ping (Steven) Zhang, Min Li:
A Saliency Prior Context Model for Real-Time Object Tracking. IEEE Trans. Multim. 19(11): 2415-2424 (2017) - [c5]Cong Ma, Zhenjiang Miao, Xiao-Ping (Steven) Zhang, Min Li:
Motion Vector Based Data Association for On-Line Multi-object Tracking. ACPR 2017: 132-137 - [c4]Min Li, Zhenjiang Miao, Cong Ma:
Automatic Labanotation Generation from Motion-Captured Data Based on Hidden Markov Models. ACPR 2017: 793-798 - 2016
- [c3]Cong Ma, Zhenjiang Miao, Min Li:
Saliency preprocessing for person re-identification images. ICASSP 2016: 1941-1945 - [c2]Cong Ma, Zhenjiang Miao, Xiao-Ping (Steven) Zhang:
Saliency prior context model for visual tracking. ICIP 2016: 1724-1728 - 2015
- [j1]Hao Wu, Zhenjiang Miao, Yi Wang, Jingyue Chen, Cong Ma, Tianyu Zhou:
Image completion with multi-image based on entropy reduction. Neurocomputing 159: 157-171 (2015) - [c1]Min Li, Zhenjiang Miao, Cong Ma:
Feature extraction with convolutional restricted boltzmann machine for audio classification. ACPR 2015: 791-795
Coauthor Index
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