智能感知与计算研究中心
中国科学院自动化研究所   联系我们    English
 
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1. Interpretable Convolutional Neural Networks (CNNs) via Feedforward Design  (2018-12-19)
2. Person Re-Identification: Datasets and Representations  (2018-12-05)
3. On the use of Artifical Intelligence for solving computational imaging problems  (2018-11-15)
4. 智能感知与计算系列讲座——讲座人:Prof.William G. Hayward; Dr.Antoni B. Chan;Dr. Janet H. Hsiao  (2018-09-19)
5. Image-based Crowd Analytics  (2018-08-17)
6. Internationalization of Higher Education and Knowledge Flew to Enrich World-class Academic Environment  (2018-08-07)
7. Zero-shot Learning and Multi-modality Data Interpretability and Integration  (2018-08-02)
8. Joint Top-down and Bottom-up Inference for Data Efficient and Generalizable Visual Learning  (2018-07-20)
9. Beyond video search – video summarization  (2018-06-26)
10. Active Authentication in Mobile Devices: Role of Touch Biometrics  (2018-05-20)
11. How Does Our Visual Brain Integrate Local Visual Cues To Form Global Representations?  (2018-04-17)
12. Why and Why Not Convolutional Neural Networks (CNNs)?  (2017-12-16)
13. Big Image-Omics Data Analytics for Clinical Outcome Prediction  (2017-08-10)
14. Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities  (2017-06-14)
15. Modeling Deep Structures with Application to Object Detection and Pose Estimation  (2017-04-12)
16. Learning Disentangled Representations for 3D View Synthesis and Shape Reconstruction  (2017-01-11)
17. Deep Learning Networks – Architectural Evolution and Theoretical Foundation  (2016-12-19)
18. 系统辨识的机器学习方法:从数据到模型  (2016-09-08)
19. 低秩学习理论及应用  (2016-07-05)
20. Going deeper and wider for semantic segmentation  (2016-05-28)


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