Reading List of AAAI 2019
posted on June 1, 2019
Following are selected papers of AAAI 2019:
- Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition:Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Haochong Lan, Fang Zhao, Lin Xiong, Yan Xu, Jianshu Li, Sugiri Pranata, Shengmei Shen, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng
- Transferable Curriculum for Weakly-Supervised Domain Adaptation:Yang Shu, Zhangjie Cao, Mingsheng Long, and Jianmin Wang
- Talking Face Generation by Adversarially Disentangled Audio-Visual Representation:Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang
- Consensus Adversarial Domain Adaptation:Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas Spanos
- 3D Face Synthesis Driven by Personality Impression:Yining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu
- Perceptual-Sensitive GAN for Generating Adversarial Patches:Aishan Liu, Xianglong Liu§, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie and Dacheng Tao
- Residual Attribute Attention Network for Face Image Super-Resolution:Jingwei Xin (Xidian University); Nannan Wang (Xidian University)*; Li Jie (Xidian University);
Xinbo Gao (Xidian University)
- StNet: Local and Global Spatial-Temporal Modeling for Action Recognition:Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen
- Soft Facial Landmark Detection by Label Distribution Learning: Kai Su and Xin Geng
- Transferable Attention for Domain Adaptation: Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, and Jianmin Wang
- Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation:Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng
- Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition:Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin
- Adversarial Learning of Semantic Relevance in Text to Image Synthesis:Miriam Cha, Youngjune L. Gwon, H.T. Kung
- Unsupervised Domain Adaptation by Matching Distributions based on the Maximum Mean Discrepancy via Unilateral Transformations:Atsutoshi Kumagai (NTT); Tomoharu Iwata (NTT Communication Science Laboratories)
- Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation:Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin code
- Partial Multi-Label Learning via Credible Label Elicitation:Jun-Peng Fang, Min-Ling Zhang
- Dual Semi-Supervised Learning for Facial Action Unit Recognition:Guozhu Peng, Shangfei Wang
- Geometry-Aware Face Completion and Editing:Linsen Song, Jie Cao, Linxiao Song, Yibo Hu, Ran He
- I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs:Junyu Gao, Tianzhu Zhang, Changsheng Xu
- Unsupervised Domain Adaptation Based on Source-guided Discrepancy:Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama
- Multi-labeled Relation Extraction with Attentive Capsule Network:Xinsong Zhang, Pengshuai Li, Weijia Jia, Hai Zhao
- CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions:Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer.
- Exploiting Local Feature Patterns for Unsupervised Domain Adaptation:Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan
- Partial Label Learning via Label Enhancement:Ning Xu; Jiaqi Lv; Xin Geng
- Partial Label Learning with Self-Guided Retraining:Lei Feng,and Bo An
- Partial Multi-Label Learning by Low-Rank and Sparse Decomposition:Lijuan Sun; Songhe Feng; Tao Wang; Congyan Lang; Yi Jin
- Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets:Maria Perez-Ortiz, Peter Tino, Rafal Mantiuk, Cesar Hervas-Martinez
- Lipper: Synthesizing Thy Speech using Multi-View Lipreading:Khwaja Mohd Salik, Yaman Kumar, Rohit Jain, Swati Aggarwal, Rajiv Ratn Shah, Roger Zimmermann
- Instance-level Facial Attributes Transfer with Geometry-aware Flow:Weidong Yin, Ziwei Liu, Chen Change Loy
- Bayesian graph convolutional neural networks for semi-supervised classification:Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay
- PCGAN: Partition-Controlled Human Image Generation: Dong Liang, Rui Wang, Xiaowei Tian, Cong Zou code
- Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition:Bin Li; Xi Li; Zhongfei Zhang; Fei Wu
- Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation:Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong
- InfoVAE: Balancing Learning and Inference in Variational Autoencoders:Shengjia Zhao, Jiaming Song, Stefano Ermon