Deep Cognitive Networks

Yan Huang (PhD) is an associate professor at the Institute of Automation, Chinese Academy of Sciences (CASIA). His research interests include computer vision and deep cognitive networks. He has published more than 70 papers in leading international journals and conferences such as IEEE TPAMI and CVPR. He has obtained awards such as the Presidential Special Award of CAS, Excellent Doctoral Thesis of both CAS and CAAI, NVIDIA Pioneering Research Award, and Baidu Fellowship. He was selected as one of the Young Talents Project of China Association for Science and Technology and Beijing Outstanding Young Talents.Liang Wang (PhD) is a professor at the Institute of Automation, Chinese Academy of Sciences (CASIA). His major research interests include machine learning, pattern recognition, and computer vision. He has widely published in highly ranked international journals, such as IEEE Transactions on Pattern Analysis and Machine Intelligence and the IEEE Transactions on Image Processing, and leading international conferences, such as CVPR, ICCV, and ECCV. He has served as an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, and PR. He is also an IEEE fellow and an IAPR fellow.

• Chapter 1. Introduction.- Chapter 2. General Framework.- Chapter 3. Attention-based DCNs.- Chapter 4. Memory-based DCNs.- Chapter 5. Reasoning-based DCNs.- Chapter 6. Decision-based DCNs.- Chapter 7. Conclusions and Future Trends.