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模式识别国家重点实验室19篇论文入选AAAI 2020

      AAAI Conference是由美国人工智能协会(the Association for the Advance of Artificial Intelligence)每年举办一次的人工智能方面的顶级会议。近期AAAI 2020的录取结果已出,今年的投稿数量高达8800篇,接收率为20.6%。实验室共计19篇文章(6篇oral)被录用!

AAAI 2020文章列表:

1. Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang, Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition(oral)
2. Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang, Relational Prototypical Network for Weakly Supervised Temporal Action Localization(oral)
3. Ya Jing,Chenyang Si,Junbo Wang,Wei Wang,Liang Wang,Tieniu Tan, Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search(oral)
4. Min Ren, Yunlong Wang, Zhenan Sun, Tieniu Tan, Dynamic Graph Representation for Occlusion Handling in Biometrics
5. Qi Li, Yunfan Liu, Zhenan Sun, Age Progression and Regression with Spatial Attention Modules(oral)
6. Junsong Fan, Zhaoxiang Zhang, Tieniu Tan, Chunfeng Song, Jun Xiao, CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation
7. Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia, Cascading Convolutional Color Constancy
8. Zichang Tan,Yang Yang,Jun Wan,Guodong Guo,Stan Li,Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks
9. Yuchen Liu, Jiajun Zhang, Hao Xiong, Long Zhou, Zhongjun He, Hua Wu, Haifeng Wang and Chengqing Zong. Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding(oral)
10. Shaonan Wang, Jiajun Zhang, Nan Lin and Chengqing Zong. Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences
11. Junnan Zhu, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong and Changliang Li. Multimodal Summarization with Guidance of Multimodal Reference
12. Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong and Xiaodong He. Keywords-Guided Abstractive Sentence Summarization
13. Yingying Zhang, Junyu Gao, Xiaoshan Yang, Chang Liu, Yan Li, Changsheng Xu,Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks
14. Tian, Z.; Zhang, Y.; Feng, X.; Jiang, W.; Lyu, Y.; Liu, K.;and Zhao, J. Capturing Sentence Relations for Answer Sentence Selection with Multi-perspective Graph Encoding
15. B. Liu, Q. Dong, Z. Hu, Zero-shot Learning from Adversarial Feature Residual to Compact Visual Feature
16. Qi Zhang, Jianlong Chang, Gaofeng Meng, Shiming Xiang and Chunhong Pan, "Spatio-Temporal Graph Structure Learning for Traffic Forecasting(oral)
17. Peisong Wang*, Xiangyu He*, Gang Li, Tianli Zhao and Jian Cheng, Sparsity-inducing Binarized Neural Networks
18. Lu Zhou, Yingying Chen, Jinqiao Wang and Hanqing Lu, Progressive Bi-C3D Pose Grammar for Human Pose Estimation
19. Feihu Che, Dawei zhang, Jianhua Tao, Mingyue Niu, Bocheng Zhao, ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion

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中科院自动化研究所 模式识别国家重点实验室
NLPR, INSTITUTE OF AUTOMATION, CHNESE ACADEMY OF SCIENCES